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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Astron. Space Sci.</journal-id>
<journal-title>Frontiers in Astronomy and Space Sciences</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Astron. Space Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-987X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">849078</article-id>
<article-id pub-id-type="doi">10.3389/fspas.2022.849078</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Astronomy and Space Sciences</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Remote and <italic>in-Situ</italic> Characterization of Mars Analogs: Coupling Scales to Improve the Search for Microbial Signatures on Mars</article-title>
<alt-title alt-title-type="left-running-head">Harris et al.</alt-title>
<alt-title alt-title-type="right-running-head">Remote Characterization of Mars Analogs</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Harris</surname>
<given-names>Carolynn M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1624165/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Maclay</surname>
<given-names>Matthew T.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1653083/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lutz</surname>
<given-names>Katherine A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1747072/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nathan</surname>
<given-names>Vinitra</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1744763/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ortega Dominguez</surname>
<given-names>Noemi A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1744811/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Leavitt</surname>
<given-names>William D.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn2">
<sup>&#x2021;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/182462/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Palucis</surname>
<given-names>Marisa C.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<xref ref-type="fn" rid="fn2">
<sup>&#x2021;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1384575/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Earth Sciences</institution>, <institution>Dartmouth College</institution>, <addr-line>Hanover</addr-line>, <addr-line>NH</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Chemistry</institution>, <institution>Dartmouth College</institution>, <addr-line>Hanover</addr-line>, <addr-line>NH</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1252572/overview">Margarita Safonova</ext-link>, Indian Institute of Astrophysics, India</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/115960/overview">Akos Kereszturi</ext-link>, Hungarian Academy of Sciences (MTA), Hungary</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/946745/overview">Roberto Barbieri</ext-link>, University of Bologna, Italy</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Marisa C. Palucis, <email>Marisa.C.Palucis@dartmouth.edu</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work and share first authorship</p>
</fn>
<fn fn-type="equal" id="fn2">
<label>
<sup>&#x2021;</sup>
</label>
<p>These authors have contributed equally to this work and share senior authorship</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Astrobiology, a section of the journal Frontiers in Astronomy and Space Sciences</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>849078</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>03</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Harris, Maclay, Lutz, Nathan, Ortega Dominguez, Leavitt and Palucis.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Harris, Maclay, Lutz, Nathan, Ortega Dominguez, Leavitt and Palucis</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Past environments on Mars contained abundant water, suggesting certain regions may have been conducive to life as we know it and implying the potential for microbial inhabitants. Gale and Jezero craters, home of the <italic>Perseverance</italic> and <italic>Curiosity</italic> rovers, hosted ancient lakes that experienced periods of active hydrologic cycling and prolonged drying intervals. Exploration of these basins (and future operations on Mars) will benefit from detailed characterizations of analogous environments on Earth, where life detection strategies at various spatial scales (i.e., rover to orbiter) can be tested and validated. Investigations of terrestrial analogs are critical for understanding (1) how microorganisms generate chemical biosignatures in environments characterized by multiple extreme conditions; (2) the impact of environmental conditions and mineralogy on biosignature preservation; and (3) what technologies and techniques are needed to detect biosignatures remotely or <italic>in situ</italic>. Here, we survey five terrestrial sites analogous to climate conditions proposed for Late Noachian to Early Hesperian Mars, when craters are thought to have hosted active lakes. We review the geologic setting, environmental conditions, microbial habitability, extant microbial communities, and preserved biomarkers at each analog and discuss their relevance to the search for signs of life in Martian craters with <italic>in situ</italic> and remote instrumentation. The analogs range from active to desiccated lake systems, temperate to hyper-arid climates, and have acidic to neutral-pH and hypo- to hyper-saline waters. Each analog hosts microorganisms adapted to multiple extremes (polyextremophiles), including aspects of water availability (i.e., surface waters versus shallow subsurface water versus groundwater) and physiochemistry (e.g., water activity, salinity, temperature, alkalinity, pH, and redox potential) that can form macrobiological features such as microbial mats. Comparing the expected achievable spatial resolution of several key Mars instruments to the spatial extent of macrobiological features at each analog reveals that most features are unlikely to be resolved from orbit and require rover-scale instruments for detection. We recommend that future studies at these analogs use multi-scale remote sensing surveys to determine thresholds for detecting macrobiological features and map how patterns in mineralogy or physical characteristics of environments correlate to modern-day microbial communities or preserved biomarkers. It will also be critical to determine how the characteristics of macrobiological features, such as areal extent, percent cover, thickness, pigments, etc., impact detectability thresholds. These findings can provide vital information on potential topographic or spectroscopic signatures of life, and at what scales they are detectable. This research is critical to guide sample collection locations within craters like Jezero, and for selecting landing sites for future missions in evaporative Martian basins and other rocky bodies.</p>
</abstract>
<kwd-group>
<kwd>astrobiology</kwd>
<kwd>terrestrial analogs</kwd>
<kwd>remote sensing</kwd>
<kwd>coupling scales</kwd>
<kwd>Mars</kwd>
<kwd>biosignatures</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Through a series of robotic orbiters, landers, and rovers, Mars exploration has resulted in an impressive amount of data showcasing the broad range of processes that have occurred on the red planet over the last &#x223c;4&#xa0;Ga (<xref ref-type="bibr" rid="B28">Carr and Head, 2010</xref>). Most notable has been the discovery that the surface of Mars has been transformed by water (<xref ref-type="bibr" rid="B29">Carr, 2012</xref>; see references in review by Palucis and Morgan, (<ext-link ext-link-type="uri" xlink:href="https://www.zotero.org/google-docs/?broken=l3dnK6">2020</ext-link>), which implies the possibility for the development of life (<xref ref-type="bibr" rid="B3">Domagal-Goldman et al., 2016</xref>). The Martian surface records three main geologic periods (<xref ref-type="fig" rid="F1">Figure 1</xref>) &#x2014; the Noachian (&#x223c;4&#x2013;3.6&#xa0;Ga), Hesperian (&#x223c;3.7&#x2013;3&#xa0;Ga), and the Amazonian (&#x223c;3&#xa0;Ga to present-day) &#x2014; which differ in the volume and persistence of liquid water present on the surface (<xref ref-type="bibr" rid="B113">Kereszturi, 2012b</xref>; <xref ref-type="bibr" rid="B173">Ramirez and Craddock, 2018</xref>). Craters throughout the Noachian appear to be continually modified at rates higher than present day (e.g., <xref ref-type="bibr" rid="B39">Craddock and Howard, 2002</xref>; <xref ref-type="bibr" rid="B71">Forsberg-Taylor et al., 2004</xref>), suggesting that water, in addition to wind, played a significant role in their modification (<xref ref-type="bibr" rid="B31">Changela et al., 2021</xref>). Many of the valley networks on Mars formed during a climate optimum at the end of the Noachian, near the Noachian-Hesperian transition (<xref ref-type="bibr" rid="B65">Fassett and Head, 2008a</xref>; <xref ref-type="bibr" rid="B112">Kereszturi and Petrik, 2020</xref>). Surface waters then declined through the Hesperian, though alluvial fans, deltas, and smaller valley networks continued to form through the Early Amazonian (e.g., <xref ref-type="bibr" rid="B66">Fassett and Head, 2008b</xref>; <xref ref-type="bibr" rid="B86">Grant and Wilson, 2012</xref>; <xref ref-type="bibr" rid="B93">Hauber et al., 2013</xref>). Modern-day Mars is a cold (mean temperature 213&#xa0;K) and hypobaric global desert, where surface conditions rarely reach the triple point of water, though deliquescence can occur at night due to elevated humidity (<xref ref-type="bibr" rid="B160">P&#xe1;l et al., 2019</xref>) and allow the emergence of microscopic liquid water today (<xref ref-type="bibr" rid="B138">Mart&#xed;n-Torres et al., 2015</xref>). Periods of high obliquity throughout the Amazonian (<xref ref-type="bibr" rid="B122">Laskar et al., 2004</xref>; <xref ref-type="bibr" rid="B97">Holo et al., 2018</xref>), however, may have allowed for the precipitation of water ice distant to the poles at lower latitudes, where ice could be warmed to provide surface runoff (<xref ref-type="bibr" rid="B190">Soare et al., 2008</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Timeline comparing the major epochs on Mars to the corresponding eons on Earth. Paleolakes likely existed in Gale and Jezero craters on Mars during the Late Noachian to Early Hesperian.</p>
</caption>
<graphic xlink:href="fspas-09-849078-g001.tif"/>
</fig>
<p>Much of Mars&#x2019; water history has been determined by interpreting remote sensing data, where decades of missions have led to continual improvements in data quality and resolution (<xref ref-type="sec" rid="s9">Supplementary Table S1</xref>), so that orbital data coverage rivals that which is publicly available for Earth. Satellite-based data sets from visual and thermal cameras have revealed fluvial features that span from thousands of kilometers long (e.g., valley networks like Uzboi-Ladon-Marova) down to the meter-scale (e.g., individual scroll bars on delta deposits) (<xref ref-type="bibr" rid="B32">Christensen et al., 2004</xref>; <xref ref-type="bibr" rid="B132">Malin et al., 2007</xref>; <xref ref-type="bibr" rid="B139">McEwen et al., 2007</xref>). Hyperspectral data from OMEGA (Observatoire pour la Min&#xe9;ralogie, l&#x2019;Eau, les Glaces et l&#x2019;Activit&#xe9;) and CRISM (the Compact Reconnaissance Imaging Spectrometer for Mars) have revealed a globally diverse mineralogy that supports weathering occurred due to liquid water (e.g., <xref ref-type="bibr" rid="B18">Bibring et al., 2006</xref>; <xref ref-type="bibr" rid="B53">Ehlmann and Edwards, 2014</xref>). In the last two decades, rover and lander data has provided high-resolution geologic, geomorphic, and geochemical data at the local scale, contributing both an increased understanding of the history of Mars (<xref ref-type="bibr" rid="B194">Squyres et al., 2004</xref>; <xref ref-type="bibr" rid="B148">Ming et al., 2006</xref>; <xref ref-type="bibr" rid="B88">Grotzinger et al., 2014</xref>, <xref ref-type="bibr" rid="B90">2015</xref>; <xref ref-type="bibr" rid="B137">Mangold et al., 2021</xref>), and providing ground truthing data for orbitally-derived datasets (e.g., <xref ref-type="bibr" rid="B92">Hamilton et al., 2014</xref>; <xref ref-type="bibr" rid="B13">Arvidson et al., 2015</xref>).</p>
<p>The array of orbiters and landers sent to Mars have not only provided an abundance of evidence that Mars may have once maintained environments partly similar to those on Earth, they have provided a detailed global perspective on where we might focus efforts and resources for life detection missions (<xref ref-type="bibr" rid="B45">des Marais, 2010</xref>). If extinct or extant life on Mars is similar to life on Earth in a most general aspect, it requires liquid water, energy sources (to support a metabolism), and chemical elements such as carbon, hydrogen, oxygen, nitrogen, phosphorus, sulfur, and trace metals for biosynthesis (<xref ref-type="bibr" rid="B104">Jakosky and Shock, 1998</xref>). Accordingly, a habitable environment for early Martian life must be characterized by: the presence of water, temperatures and pressures that permit liquid water and necessary biomolecules to exist, accessible chemical elements, chemical and/or light energy, and protection of biomolecules from cosmic rays and ultraviolet radiation (<xref ref-type="bibr" rid="B45">des Marais, 2010</xref>).</p>
<p>When the Mars Science Laboratory (MSL) Curiosity rover was sent to Gale crater in 2012 (<xref ref-type="fig" rid="F2">Figure 2</xref>), a primary mission goal was to determine whether the crater had hosted one or more habitable environments during its history. It was clear from the stratigraphy, mineralogy, and landforms within Gale, which had also been well studied from orbit (<xref ref-type="bibr" rid="B133">Malin and Edgett, 2000</xref>; <xref ref-type="bibr" rid="B9">Anderson and Bell, 2010</xref>; <xref ref-type="bibr" rid="B147">Milliken et al., 2010</xref>), that liquid water had once been present, but it was not clear from orbit whether the landing site constituted a habitable environment. Sedimentary evidence at the rover-scale supports orbital interpretations that Gale once hosted a large lake for &#x223c;10<sup>5</sup>&#x2013;10<sup>7</sup>&#xa0;years with fluctuating lake levels, during the Late Noachian to Early Hesperian (<xref ref-type="bibr" rid="B90">Grotzinger et al., 2015</xref>). The ancient lake in Gale likely had a neutral pH, low salinity, variable redox states of iron and sulfur, and contained all the major chemical elements necessary for life. Therefore, this lake was deemed habitable for hypothetical chemolithoautotrophic microbes (<xref ref-type="bibr" rid="B88">Grotzinger et al., 2014</xref>). The successes of the MSL mission, and the Mars Exploration Rovers (MER) mission before it (e.g., <xref ref-type="bibr" rid="B195">Squyres and Knoll, 2005</xref>), have resulted in NASA&#x2019;s Mars Exploration Program goals progressing from &#x201c;follow the water&#x201d; to &#x201c;search for habitable environments&#x201d; to now &#x201c;seek signs of life.&#x201d; As such, the newest Mars rover, <italic>Perseverance</italic>, is exploring an ancient lake system within Jezero crater (<xref ref-type="fig" rid="F2">Figure 2</xref>) with a specific focus on searching for signs of ancient microbial life (<xref ref-type="bibr" rid="B64">Farley et al., 2020</xref>). Part of this mission involves the collection of Martian soils and rocks that will be brought back to Earth for detailed analysis (<xref ref-type="bibr" rid="B15">Beaty et al., 2019</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Global context for Jezero and Gale craters on Mars. The <italic>Perseverance</italic> and <italic>Curiosity</italic> rovers are exploring these areas, which are probable targets for future life detection missions. <bold>(A)</bold> Jezero crater is characterized by deltaic deposits on the western and northern edges of the crater. The <italic>Perseverance</italic> rover&#x2019;s approximate area of operation (as of December 2021) is shown. <bold>(B)</bold> Gale crater contains the prominent Mt. Sharp (Aeolis Mons) deposit. The <italic>Curiosity</italic> rover&#x2019;s approximate area of operation (as of December 2021) is shown north of Aeolis Mons.</p>
</caption>
<graphic xlink:href="fspas-09-849078-g002.tif"/>
</fig>
<p>Successful mission design and data collection for sample return missions, including the current Mars 2020 mission in Jezero crater and the subsequent Mars Sample Return campaign, requires an understanding of (1) how microbial life responds to changes in water availability and activity and geochemical gradients under drying conditions, including changes to microbial spatial distributions or their association with different mineral assemblages (e.g., clays, silicas, carbonates), (2) how and what type of biosignatures (chemical, textural, or morphological) are preserved through time and in which minerals and deposits, and (3) how surface processes and geochemistry might affect where and how biosignatures are concentrated within specific environments. As Earth is the only planet known to host life, understanding the three requirements detailed above necessitates a better characterization of terrestrial analogs to inform Martian landing site selection over a range of past possible Mars climate scenarios. It is important to consider the spatial scale of data products from terrestrial analogs; to be most relevant to Mars exploration, data collection should span from orbital down to rover scales.</p>
<p>In this review we focus on five previously identified terrestrial analogs for Mars that have the potential to inform us about biosignature preservation in ancient Martian paleo-lakes, specifically those discovered in Gale and Jezero craters. These analog sites host mineral assemblages similar to some Martian craters and encompass a range of chemistries and climates [e.g., &#x201c;warm and wet&#x201d; (e.g. <xref ref-type="bibr" rid="B173">Ramirez and Craddock, 2018</xref>); &#x201c;cold and wet&#x201d; (<xref ref-type="bibr" rid="B58">Fair&#xe9;n, 2010</xref>), &#x201c;icy/snowball with transient warming&#x201d; (e.g., <xref ref-type="bibr" rid="B220">Wordsworth et al., 2013</xref>; <xref ref-type="bibr" rid="B219">Wordsworth, 2016</xref>), or semiarid to hyperarid (e.g., <xref ref-type="bibr" rid="B99">Horvath and Andrews-Hanna, 2017</xref>, <xref ref-type="bibr" rid="B100">2021</xref>)] proposed for Late Noachian to Early Hesperian Mars. Each analog also hosts polyextremophiles that are predominantly microbial. While we do not consider an exhaustive list of potential analogs in this study, we believe the body of research at these sites are representative of the types of data and studies being conducted on Earth that can increase our understanding of the connections among environmental and geochemical conditions, microbial habitability, and biosignature preservation potential on Mars. Our synthesis of research at these sites also identifies major gaps and recommends future work to bridge these gaps.</p>
<sec id="s1-1">
<title>1.1 Ancient Martian Lake Systems</title>
<p>Two of the best studied habitable environments on Mars are within Gale and Jezero craters (<xref ref-type="fig" rid="F2">Figure 2</xref>). Gale crater is a Late Noachian- to Early Hesperian-aged crater that is &#x223c;150&#xa0;km in diameter (<xref ref-type="bibr" rid="B206">Thomson et al., 2011</xref>). It is located along the crustal dichotomy, a topographic boundary that separates the heavily cratered southern highlands of Mars and the sparsely cratered northern lowlands. The crater hosts a 5-km-high sedimentary mound, Aeolis Mons (i.e., Mt. Sharp), which is the <italic>Curiosity</italic> mission&#x2019;s primary science target (<xref ref-type="bibr" rid="B89">Grotzinger et al., 2012</xref>). This is due to the fact that lower strata of Mt. Sharp contains hematitic and hydrated clay- and sulfate-bearing rock, which were detected from orbit (<xref ref-type="bibr" rid="B146">Milliken and Bish, 2010</xref>; <xref ref-type="bibr" rid="B73">Fraeman et al., 2013</xref>), but are accessible on the ground by the <italic>Curiosity</italic> rover. Investigations by the rover, as well as from satellite imagery, have determined that Gale crater hosted a series of large lakes, both before (<xref ref-type="bibr" rid="B90">Grotzinger et al., 2015</xref>) and after (e.g., <xref ref-type="bibr" rid="B161">Palucis et al., 2016</xref>) the emplacement of Mt. Sharp. These lakes may have been as large as &#x223c;5,800&#xa0;km<sup>2</sup> in area and up to &#x223c;0.7&#xa0;km deep (<xref ref-type="bibr" rid="B161">Palucis et al., 2016</xref>). The sources of water to the lakes were likely from a combination of groundwater and surface runoff, the latter potentially resulting from snowmelt (<xref ref-type="bibr" rid="B90">Grotzinger et al., 2015</xref>; <xref ref-type="bibr" rid="B161">Palucis et al., 2016</xref>; <xref ref-type="bibr" rid="B180">Roseborough et al., 2021</xref>). The climate during the time of lakes is debated, with modeling and geomorphologic arguments suggesting a relatively arid- to semi-arid climate with temperatures above freezing (<xref ref-type="bibr" rid="B100">Horvath and Andrews-Hanna, 2021</xref>), whereas the mineralogy and geochemistry support more dynamic climates with periods of prolonged warm and semi-arid conditions on a mostly cold/snowball Mars (<xref ref-type="bibr" rid="B75">Fukushi et al., 2019</xref>). Fukushi et al. (<ext-link ext-link-type="uri" xlink:href="https://www.zotero.org/google-docs/?UCRq76">2019</ext-link>) estimated that early lakes in Gale developed in &#x223c;10<sup>4</sup> to &#x223c;10<sup>6</sup>&#xa0;year-long semiarid climates based on pore water chemistry from the last wetting event near the <italic>Curiosity</italic> landing site (i.e., Yellowknife Bay), which is based on finding water with neutral pH, mild salinity, low levels of dissolved CO<sub>2</sub>, and highly oxidizing conditions (<italic>E</italic>
<sub>
<italic>h</italic>
</sub> &#x3e; 300&#xa0;mV, where <italic>E</italic>
<sub>
<italic>h</italic>
</sub> is redox potential).</p>
<p>Jezero crater is a &#x223c;45&#xa0;km diameter crater located in the Nili Fossae region of Mars. It was selected as the landing site of the <italic>Perseverance</italic> rover due to the presence of two sedimentary fan-like structures inferred to be deltas from orbit (e.g., <xref ref-type="bibr" rid="B66">Fassett and Head, 2008b</xref>; <xref ref-type="bibr" rid="B83">Goudge et al., 2015</xref>) which was later confirmed with sedimentological ground observations (<xref ref-type="bibr" rid="B137">Mangold et al., 2021</xref>). These deposits and their mineralogy indicate an ancient habitable lake (with similar water conditions to Gale) that formed during the Late Noachian to the Early Amazonian (<xref ref-type="bibr" rid="B54">Ehlmann et al., 2008</xref>; <xref ref-type="bibr" rid="B83">Goudge et al., 2015</xref>; <xref ref-type="bibr" rid="B136">Mangold et al., 2020</xref>). Jezero is an ideal location to search for biosignatures on Mars due to its geologic context (an ancient lake), its mineral diversity from orbit (including hydrated magnesium carbonates and olivine, clay minerals, and silicas), and its potential to preserve biosignatures based on these specific mineral deposits (<xref ref-type="bibr" rid="B85">Grant et al., 2018</xref>). There are also potential hydrothermal deposits within Jezero, as well as aqueously altered mafic and ultramafic rock, allowing for the search for traces of prebiotic chemical processes (<xref ref-type="bibr" rid="B23">Bosak et al., 2021</xref>).</p>
</sec>
<sec id="s1-2">
<title>1.2 Criteria for Terrestrial Mars Analogs</title>
<p>Based on these two landing sites, terrestrial analogs would ideally meet several specific Mars-like conditions. Both the Gale and Jezero lakes are thought to have been active during the Late Noachian through the end of the Hesperian. There is debate about the range of temperatures on the Martian surface at this time, but there is no clear geomorphic or sedimentologic evidence that the lakes were ice-covered (e.g., <xref ref-type="bibr" rid="B161">Palucis et al., 2016</xref>), such that average temperatures may have been above freezing when lakes were present. Work by <xref ref-type="bibr" rid="B75">Fukushi et al. (2019)</xref> suggests redox conditions at Gale supported distinct periods of warming on an otherwise cold (&#x223c;0&#xb0;C) Mars. Given these constraints, terrestrial lake systems that span mean annual temperatures at and above 0&#xb0;C are desirable targets. Both the Gale and Jezero lakes appear to have been fed from a combination of groundwater and surface water, which is the case for many terrestrial lake systems, though some studies suggest that the runoff was sourced from snowmelt (versus direct precipitation) (<xref ref-type="bibr" rid="B90">Grotzinger et al., 2015</xref>; <xref ref-type="bibr" rid="B161">Palucis et al., 2016</xref>; <xref ref-type="bibr" rid="B180">Roseborough et al., 2021</xref>). Mars is a mostly basaltic planet (<xref ref-type="bibr" rid="B203">Tanaka et al., 2014</xref>), so ideal Earth analogs would be hosted in basaltic terrains, with mafic to ultramafic rocks that lack extensive metamorphism or tectonics. Ideal analogs would also have similar mineralogies to those found at Gale and Jezero, namely the presence of magnesium carbonates, Fe/Mg clay minerals, amorphous silica, hematite, and sulfates (<xref ref-type="bibr" rid="B208">Vaniman et al., 2014</xref>; <xref ref-type="bibr" rid="B83">Goudge et al., 2015</xref>; <xref ref-type="bibr" rid="B174">Rampe et al., 2017</xref>). In order to document how polyextremophile microorganisms respond or vary as a function of water activity and chemistry, analog systems should also have well-documented water salinities, pH, and redox potential, in addition to well-characterized microbial populations, and process and/or metabolism specific biosignatures. Lastly, as it is thought that Martian lake systems went through periods of wetting and drying (<xref ref-type="bibr" rid="B197">Stein et al., 2018</xref>), knowing the hydrologic history of each analog site is important, specifically periods of lake desiccation due to climate change or glaciation and changes in water sources or chemistries over time.</p>
</sec>
</sec>
<sec id="s2">
<title>2 Terrestrial Analog Sites</title>
<p>We review five terrestrial analog sites that span climatic, geological, and geochemical conditions (<xref ref-type="fig" rid="F3">Figure 3</xref>) that meet the above criteria for Late Noachian to Hesperian lakes on Mars. As surface and orbital observations support multiple periods of lake stability in Gale crater, likely separated by long durations of aridity, we chose several Atacama salars as an analog for hyperarid Mars (<xref ref-type="bibr" rid="B59">Fair&#xe9;n et al., 2010</xref>). The low temperatures, high solar irradiance, and hypersalinity of soils make this a robust analog (<xref ref-type="bibr" rid="B14">Azua-Bustos et al., 2017</xref>; <xref ref-type="bibr" rid="B235">H&#xe4;der and Cabrol, 2018</xref>), and the formation of modern microbialites in surface waters provides a natural laboratory to investigate microbialite formation in Mars-like environments (<xref ref-type="bibr" rid="B60">Far&#xed;as et al., 2014</xref>). During lake highstands on Mars, the climate has been suggested to be either &#x201c;warm and wet,&#x201d; &#x201c;cold and wet,&#x201d; or &#x201c;icy/snowball Mars with transient warming&#x201d; (or fluctuate between warmer/wetter and colder/drier conditions) based on modeling, geomorphology, and/or geochemical constraints (e.g., <xref ref-type="bibr" rid="B58">Fair&#xe9;n, 2010</xref>; <xref ref-type="bibr" rid="B219">Wordsworth, 2016</xref>; <xref ref-type="bibr" rid="B99">Horvath and Andrews-Hanna, 2017</xref>, <xref ref-type="bibr" rid="B100">2021</xref>; <xref ref-type="bibr" rid="B102">Hurowitz et al., 2017</xref>). To cover periglacial and icy climates with varying degrees of aridity, we chose two polar sites, the Haughton Impact crater in the Canadian Arctic, and the McMurdo Dry Valleys of Antarctica, which host some of the oldest lakes in Antarctica (<xref ref-type="bibr" rid="B241">Hendy et al., 1977</xref>). Haughton impact crater was also chosen as it is morphologically similar to Martian lake basins (i.e., an impact crater) and hosts endolithic communities in impact-shocked rocks, providing opportunities to study how we might conduct subsurface searches for life. Rio Tinto was chosen as an analog for a &#x201c;warm and wet,&#x201d; but acidic, Mars, and Lonar crater was chosen due to its geologic and morphologic similarity to Martian lake basins (i.e., an impact crater within basaltic terrain). We note, however, that the high population density and agricultural activity of the Lonar region (<xref ref-type="bibr" rid="B144">Menzel et al., 2013</xref>, <xref ref-type="bibr" rid="B143">2014</xref>) may limit its utility in studies of microbial habitability due to confounding anthropogenic influences. In addition, many of these analogs have been used to test instruments, rovers, and field work logistics due to their similarities to the conditions expected on Mars (e.g., Rio Tinto (<xref ref-type="bibr" rid="B155">Orgel et al., 2014</xref>), Haughton Impact Crater (<xref ref-type="bibr" rid="B125">Lee, 2002</xref>; <xref ref-type="bibr" rid="B110">Kereszturi, 2011</xref>), the Antarctic Dry Valleys (<xref ref-type="bibr" rid="B9">Anderson et al., 1992</xref>), and the Atacama Desert (<xref ref-type="bibr" rid="B226">Cabrol et al., 2001</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Map of the Earth showing the locations of five terrestrial Mars analogs. Panels show the regional context of each site. <bold>(A)</bold> Haughton Impact Crater on Devon Island, Nunavut Canada. Seasonal meltwater flows out of the crater through the river valley on the northeast side of the crater wall. <bold>(B)</bold> The Atacama Desert in Chile, this region contains many hypersaline saltflats including Salar de Atacama (SdA), Salar de Laco (SdL), Salar de Aguas Calientes 3 (AC3). <bold>(C)</bold> Lake Bonney is one of several perennially ice-covered, chemically stratified lakes surrounded by bare rock in the Mcmurdo Dry Valleys of Antarctica. Neighbording lakes include Fryxell and Hoare. Glacial streams and the lake margins (moat) melt during the brief Austral summer. <bold>(D)</bold> Lonar Crater and lake in Lonar, India. Lonar is the only basaltic crater lake on Earth. The lake&#x2019;s watershed experiences heavy agricultural cultivation. <bold>(E)</bold> The Rio Tinto River flows from heavily mined headwaters to the Atlantic Ocean. The headwaters are highly acidic and are characterized by high concentrations of iron and other heavy metals.</p>
</caption>
<graphic xlink:href="fspas-09-849078-g003.tif"/>
</fig>
<p>The intent of this review is to focus on a subset of sites relevant to Late Noachian to Early Hesperian lakes (and their possible associated climates) across which we can compare remote and <italic>in situ</italic> observations, not to review every terrestrial environment that has been proposed as a Mars analog. We present an approach that can now be applied to the many other terrestrial analogs. While no terrestrial analog is a perfect representation for Martian lakes, together, these five analogs (1) provide windows into the microbial habitability and preservation potential in Martian craters that once hosted lakes, (2) have been relatively well-studied in terms of their geologic history and environmental history, and (3) constitute natural laboratories in which to test Mars mission concepts and technologies from the orbital to lander/rover/drone scales (<xref ref-type="fig" rid="F4">Figure 4</xref>, <xref ref-type="sec" rid="s9">Supplementary Table S2</xref>). Below we synthesize a cross-site comparison of geological setting, climate, mineralogy, water chemistry, and active microbiology, generated from an extensive literature review. This work is consolidated in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>
<bold>(A)</bold> Cumulative number of Web of Science publications between 1993 and 2021 that match the search term &#x201c;Mars&#x201d; and terms for each terrestrial analog site. ATC &#x3d; &#x201c;Atacama salars&#x201d; or &#x201c;saltflats&#x201d;; HIC &#x3d; &#x201c;Haughton Impact Crater&#x201d; or &#x201c;structure&#x201d;; LON &#x3d; &#x201c;Lonar lake&#x201d; or &#x201c;crater&#x201d;; MDV &#x3d; &#x201c;McMurdo Dry Valleys&#x201d;; RIO &#x3d; &#x201c;Rio Tinto&#x201d; or &#x201c;Riotinto&#x201d; or &#x201c;Tinto River.&#x201d; Search conducted October 2021. Dashed vertical lines denote when notable rovers landed on Mars. <bold>(B)</bold> The % of publications for each site that match disciplinary categories. These broad categories are based on category assignments generated by Web of Science. Total number of publications is indicated parenthetically beneath the analog site code. See <xref ref-type="sec" rid="s9">Supplementary Table S2</xref> for details.</p>
</caption>
<graphic xlink:href="fspas-09-849078-g004.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>A cross-site comparison of selected environmental, mineralogical, chemical, and biological parameters.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th colspan="7" align="left">Terrestrial analog</th>
<th colspan="2" align="center">Martian lake system</th>
</tr>
<tr>
<th align="left">Location and climate</th>
<th align="left">Units</th>
<th align="center">Lake Bonney, MDV</th>
<th align="center">Haughton crater</th>
<th align="center">Rio Tinto</th>
<th align="center">Lonar crater</th>
<th align="center">Atacama salars</th>
<th align="center">Jezero</th>
<th align="center">Gale</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Latitude, Longitude</td>
<td align="left">DD</td>
<td align="left">-77.71&#xb0;, 162.37&#xb0;</td>
<td align="left">75.38&#xb0;, -89.67&#xb0;</td>
<td align="left">37.28&#xb0;, -6.87&#xb0;</td>
<td align="left">19.98&#xb0;, 76.51&#xb0;</td>
<td align="left">-23.60&#xb0;, -68.24&#xb0;</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Climate Classification</td>
<td align="left">-</td>
<td align="left">Polar Desert - Ice Cap (EF)</td>
<td align="left">Polar Tundra (ET)</td>
<td align="left">Continental Mediterranean (Csa)</td>
<td align="left">Tropical Savannah (Aw)</td>
<td align="left">Cold Desert (BWk)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Mean Ann. Air Temp (MAAT)</td>
<td align="left">&#xb0;C</td>
<td align="left">-17.1 <xref ref-type="bibr" rid="B48">Doran and Fountain (2021)</xref>
</td>
<td align="left">-16.4 <xref ref-type="bibr" rid="B119">Lacelle et al., (2008)</xref>
</td>
<td align="left">16.1 <xref ref-type="bibr" rid="B30">Chacon-Baca et al., (2021)</xref>
</td>
<td align="left">26 <xref ref-type="bibr" rid="B144">Menzel et al., (2013)</xref>
</td>
<td align="left">1&#x2013;14 <xref ref-type="bibr" rid="B177">Risacher et al., (1999)</xref>
</td>
<td align="left">&#x3e;0</td>
<td align="left">&#x3e;0 <xref ref-type="bibr" rid="B90">Grotzinger et al., (2015)</xref>
</td>
</tr>
<tr>
<td align="left">Mean Ann. Precip. (MAP)</td>
<td align="left">mm</td>
<td align="left">&#x3c;100 <xref ref-type="bibr" rid="B72">Fountain et al., (1999)</xref>
</td>
<td align="left">&#x3c;13 <xref ref-type="bibr" rid="B247">Lee and Osinski (2005)</xref>
</td>
<td align="left">849.1 <xref ref-type="bibr" rid="B30">Chacon-Baca et al., (2021)</xref>
</td>
<td align="left">752 <xref ref-type="bibr" rid="B116">Komatsu et al., (2014)</xref>
</td>
<td align="left">50&#x2013;150 <xref ref-type="bibr" rid="B178">Risacher et al., (2003)</xref>
</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">% Precip. as snow</td>
<td align="left">%</td>
<td align="left">100 <xref ref-type="bibr" rid="B245">Keys (1980)</xref>
</td>
<td align="left">67 <xref ref-type="bibr" rid="B119">Lacelle et al., (2008)</xref>
</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Elevation</td>
<td align="left">m</td>
<td align="left">60 <xref ref-type="bibr" rid="B229">Doran and Gooseff (2020)</xref>
</td>
<td align="left">140 Robertson and Mason (1975)</td>
<td align="left">400 <xref ref-type="bibr" rid="B228">Davis et al., (2000)</xref>
</td>
<td align="left">500 <xref ref-type="bibr" rid="B143">Menzel et al. (2014)</xref>
</td>
<td align="left">2300&#x2013;4000 <xref ref-type="bibr" rid="B178">Risacher et al., (2003)</xref>
</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Arid or hyper-Arid</td>
<td align="left">
<italic>-</italic>
</td>
<td align="left">Yes</td>
<td align="left">Yes</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">Yes</td>
<td align="left">Likely</td>
<td align="left">Likely</td>
</tr>
<tr>
<td colspan="9" align="left">Geologic Setting</td>
</tr>
<tr>
<td align="left">&#x2003;Major Lithologies</td>
<td align="left">
<italic>-</italic>
</td>
<td align="left">Schists, argillites, quartzites, marble, granite intrusives Lyons et al., (2002); <xref ref-type="bibr" rid="B222">Angino et al., (1962)</xref>
</td>
<td align="left">Anhydrite/gypsum, shale, sandstone, limestone, dolomite, metagranite, gneiss <xref ref-type="bibr" rid="B156">Osinksi et al., (2005)</xref>
</td>
<td align="left">Hematite, goethite, jarosite, pyrite <xref ref-type="bibr" rid="B52">Edwards et al., (2007)</xref>
</td>
<td align="left">Basalt, plagioclase, pyroxene, impact glass <xref ref-type="bibr" rid="B134">Maloof et al., (2010)</xref>
</td>
<td align="left">Gypsum, halite, carbonates, anorthite <xref ref-type="bibr" rid="B70">Flahaut et al., (2017)</xref>
</td>
<td align="left">Basaltic</td>
<td align="left">Basaltic</td>
</tr>
<tr>
<td align="left">&#x2003;Mineral Classes</td>
<td align="left">-</td>
<td align="left">Phyllosilicates, Clay Minerals, Carbonates, Other Silicates, Volcanics</td>
<td align="left">Sulfates, Clay Minerals, Carbonates, Volcanics, Other Silicates</td>
<td align="left">Oxides, Sulfates, Sulfides</td>
<td align="left">Volcanics</td>
<td align="left">Sulfates, Halides, Carbonates, Volcanic</td>
<td align="left">Volcanics</td>
<td align="left">Volcanics</td>
</tr>
<tr>
<td align="left">&#x2003;Mafic/Ultra-mafic</td>
<td align="left">
<italic>-</italic>
</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="left">Yes</td>
<td align="left">No</td>
<td align="left">Yes</td>
<td align="left">Yes</td>
</tr>
<tr>
<td align="left">&#x2003;Impact Structure</td>
<td align="left">
<italic>-</italic>
</td>
<td align="left">No</td>
<td align="left">Yes</td>
<td align="left">No</td>
<td align="left">Yes</td>
<td align="left">No</td>
<td align="left">Yes</td>
<td align="left">Yes</td>
</tr>
<tr>
<td colspan="9" align="left">Modern hydrology</td>
</tr>
<tr>
<td align="left">&#x2003;Basin</td>
<td align="left">-</td>
<td align="left">Closed <xref ref-type="bibr" rid="B239">Hendy (2000)</xref>
</td>
<td align="left">Open (when lake was present) <xref ref-type="bibr" rid="B156">Osinski and Lee (2005)</xref>
</td>
<td align="left">Open (Estuary) <xref ref-type="bibr" rid="B228">Davis et al., (2000)</xref>
</td>
<td align="left">Closed <xref ref-type="bibr" rid="B144">Menzel et al., (2013)</xref>; <xref ref-type="bibr" rid="B116">Komatsu et al., (2014)</xref>; <xref ref-type="bibr" rid="B143">Menzel et al. (2014)</xref>
</td>
<td align="left">Closed <xref ref-type="bibr" rid="B224">Bobst et al., (2001)</xref>; <xref ref-type="bibr" rid="B178">Risacher et al., (2003)</xref>
</td>
<td align="left">Open <xref ref-type="bibr" rid="B83">Goudge et al., (2015)</xref>; <xref ref-type="bibr" rid="B137">Mangold et al., (2021)</xref>
</td>
<td align="left">Open <xref ref-type="bibr" rid="B242">Irwin et al., (2005)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Depth</td>
<td align="left">m</td>
<td align="left">40 <xref ref-type="bibr" rid="B130">Lyons and Priscu (2016)</xref>
</td>
<td align="left">N/A</td>
<td align="left">spring waters are several cm deep <xref ref-type="bibr" rid="B8">Amils et al., (2007)</xref>
</td>
<td align="left">6 <xref ref-type="bibr" rid="B116">Komatsu et al., (2014)</xref>
</td>
<td align="left">lagoons are several m deep</td>
<td align="left">no data</td>
<td align="left">300&#x2013;700 <xref ref-type="bibr" rid="B161">Palucis et al., (2016)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Water Source(s)</td>
<td align="left">-</td>
<td align="left">Glacial melt <xref ref-type="bibr" rid="B130">Lyons and Priscu (2016)</xref>
</td>
<td align="left">Snow melt <xref ref-type="bibr" rid="B156">Osinski and Lee (2005)</xref>
</td>
<td align="left">Seasonal run-off, groundwater discharge <xref ref-type="bibr" rid="B233">Ferris et al., (2004)</xref>
</td>
<td align="left">Seasonal run-off, groundwater discharge <xref ref-type="bibr" rid="B116">Komatsu et al., (2014)</xref>; <xref ref-type="bibr" rid="B143">Menzel et al. (2014)</xref>
</td>
<td align="left">Groundwater seepage <xref ref-type="bibr" rid="B178">Risacher et al., (2003)</xref>; <xref ref-type="bibr" rid="B243">Kampff et al., (2005)</xref>
</td>
<td align="left">surface runoff</td>
<td align="left">groundwater and surface runoff (likely snowmelt) <xref ref-type="bibr" rid="B90">Grotzinger et al., (2015)</xref>; <xref ref-type="bibr" rid="B161">Palucis et al., (2016)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Paleolake Present</td>
<td align="left">
<italic>-</italic>
</td>
<td align="left">Yes <xref ref-type="bibr" rid="B240">Hendy et al., (1979)</xref>; <xref ref-type="bibr" rid="B50">Doran et al., (1994)</xref>; <xref ref-type="bibr" rid="B251">Obryk et al., (2017)</xref>; <xref ref-type="bibr" rid="B237">Hall et al., (2015)</xref>; <xref ref-type="bibr" rid="B259">Toner et al., (2013)</xref>; <xref ref-type="bibr" rid="B249">Matsubaya et al., (1979)</xref>; <xref ref-type="bibr" rid="B241">Hendy et al., (1977)</xref>
</td>
<td align="left">Yes <xref ref-type="bibr" rid="B96">Hickey et al., (1988)</xref>
</td>
<td align="left">No</td>
<td align="left">Yes <xref ref-type="bibr" rid="B116">Komatsu et al., (2014)</xref>; <xref ref-type="bibr" rid="B253">Prasad et al., (2014)</xref>
</td>
<td align="left">Yes <xref ref-type="bibr" rid="B224">Bobst et al., (2001)</xref>; <xref ref-type="bibr" rid="B254">Rech et al., (2002)</xref>; <xref ref-type="bibr" rid="B107">Jordan et al., (2014)</xref>
</td>
<td align="left">Yes</td>
<td align="left">Yes</td>
</tr>
<tr>
<td colspan="9" align="left">Geochemistry</td>
</tr>
<tr>
<td align="left">&#x2003;Water presence</td>
<td align="left">
<italic>-</italic>
</td>
<td align="left">Perennially ice-covered lake, seasonal melt-water streams <xref ref-type="bibr" rid="B11">Armitage and House (1962)</xref>
</td>
<td align="left">Snow patches, ground water, seasonal melt water streams, water ice <xref ref-type="bibr" rid="B119">Lacelle et al., (2008)</xref>; <xref ref-type="bibr" rid="B34">Clarke et al., (2019)</xref>
</td>
<td align="left">Spring and river system with seasonal wet-dry cycles <xref ref-type="bibr" rid="B228">Davis et al., (2000)</xref>; <xref ref-type="bibr" rid="B69">Fern&#xe1;ndez-Remolar et al., (2005)</xref>
</td>
<td align="left">Lake with seasonal melt-water streams <xref ref-type="bibr" rid="B22">Borul, (2012)</xref>
</td>
<td align="left">Lagoons, hypersaline brines, streams, groundwater <xref ref-type="bibr" rid="B24">Boschetti et al., (2007)</xref>; <xref ref-type="bibr" rid="B262">Z&#xfa;&#xf1;iga et al., (1991)</xref>
</td>
<td align="left">Yes during Late Noachian/Early Hesperian <xref ref-type="bibr" rid="B83">Goudge et al., (2015)</xref>
</td>
<td align="left">Yes during Late Noachian/Early Hesperian, possibly into Early Amazonian <xref ref-type="bibr" rid="B90">Grotzinger et al., (2015)</xref>; <xref ref-type="bibr" rid="B8">Amils et al., (2007)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Water activity (<italic>a</italic>
<sub>
<italic>w</italic>
</sub>)</td>
<td align="left">
<italic>-</italic>
</td>
<td align="left">0.70&#x2013;0.74 <xref ref-type="bibr" rid="B260">Tregoning et al., (2015)</xref>; <xref ref-type="bibr" rid="B248">Levy et al., (2012)</xref>
</td>
<td align="left">no data</td>
<td align="left">no data</td>
<td align="left">no data</td>
<td align="left">0.62&#x2013;0.99 <xref ref-type="bibr" rid="B24">Boschetti et al., (2007)</xref>; <xref ref-type="bibr" rid="B42">Cubillos et al., (2018)</xref>
</td>
<td align="left">no data</td>
<td align="left">no data</td>
</tr>
<tr>
<td align="left">&#x2003;Mean water temp</td>
<td align="left">&#xb0;C</td>
<td align="left">-5 to 4 MCM LTER Data Repository</td>
<td align="left">0&#x2013;4 <xref ref-type="bibr" rid="B119">Lacelle et al., (2008)</xref>
</td>
<td align="left">10&#x2013;40 <xref ref-type="bibr" rid="B101">Hubbard et al., (2009)</xref>
</td>
<td align="left">24&#x2013;30 <xref ref-type="bibr" rid="B22">Borul, (2012)</xref>; <xref ref-type="bibr" rid="B167">Pedge et al., (2013)</xref>
</td>
<td align="left">10&#x2013;25 <xref ref-type="bibr" rid="B24">Boschetti et al., (2007)</xref>; <xref ref-type="bibr" rid="B42">Cubillos et al., (2018)</xref>
</td>
<td align="left">&#x3e;0 <xref ref-type="bibr" rid="B236">Halevy et al., (2011)</xref>
</td>
<td align="left">&#x3e;0 Horvath and Andrews-Hanna (2017)</td>
</tr>
<tr>
<td align="left">&#x2003;pH</td>
<td align="left">
<italic>-</italic>
</td>
<td align="left">5.5&#x2013;9 MCM LTER Data Repository</td>
<td align="left">7.5&#x2013;8.2 <xref ref-type="bibr" rid="B119">Lacelle et al., (2008)</xref>
</td>
<td align="left">2&#x2013;2.5 <xref ref-type="bibr" rid="B30">Chacon-Baca et al., (2021)</xref>; <xref ref-type="bibr" rid="B8">Amils et al., (2007)</xref>
</td>
<td align="left">9.5&#x2013;10.5 <xref ref-type="bibr" rid="B22">Borul, (2012)</xref>; <xref ref-type="bibr" rid="B167">Pedge et al., (2013)</xref>
</td>
<td align="left">7.6&#x2013;8.5 <xref ref-type="bibr" rid="B24">Boschetti et al., (2007)</xref>
</td>
<td align="left">Likely neutral during delta formation <xref ref-type="bibr" rid="B83">Goudge et al., (2015)</xref>; <xref ref-type="bibr" rid="B54">Ehlmann et al., (2008)</xref>; <xref ref-type="bibr" rid="B231">Dundar et al., (2019)</xref>
</td>
<td align="left">6.5&#x2013;8.3 <xref ref-type="bibr" rid="B75">Fukushi et al., (2019)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Salinity</td>
<td align="left">ppt (PSU)</td>
<td align="left">0&#x2013;15 in epilimnion, 120&#x2013;150 in hypolimnion MCM LTER Data Repository</td>
<td align="left">0&#x2013;1 <xref ref-type="bibr" rid="B119">Lacelle et al., (2008)</xref>; <xref ref-type="bibr" rid="B24">Boschetti et al., (2007)</xref>
</td>
<td align="left">1&#x2013;3 <xref ref-type="bibr" rid="B30">Chacon-Baca et al., (2021)</xref>; <xref ref-type="bibr" rid="B234">Garc&#xed;a-Moyano et al., (2007)</xref>
</td>
<td align="left">8&#x2013;10 in the epilimnion, 30&#x2013;40 in the hypolimnion <xref ref-type="bibr" rid="B144">Menzel et al., (2013)</xref>; <xref ref-type="bibr" rid="B22">Borul, (2012)</xref>; <xref ref-type="bibr" rid="B223">Antony et al., (2013)</xref>
</td>
<td align="left">lagoons are 7&#x2013;65; brines are &#x3e;200 <xref ref-type="bibr" rid="B262">Z&#xfa;&#xf1;iga et al., (1991)</xref>; <xref ref-type="bibr" rid="B42">Cubillos et al., (2018)</xref>
</td>
<td align="left">Low <xref ref-type="bibr" rid="B83">Goudge et al., (2015)</xref>; Ehlmann et al., (2008)</td>
<td align="left">0.5&#x2013;35 <xref ref-type="bibr" rid="B75">Fukushi et al., (2019)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Redox potential (<italic>E</italic>
<sub>
<italic>h</italic>
</sub>)</td>
<td align="left">mV</td>
<td align="left">750 in epilimnion, 20&#x2013;100 in hypolimnion <xref ref-type="bibr" rid="B246">Lee et al., (2004)</xref>
</td>
<td align="left">no data</td>
<td align="left">220&#x2013;700 <xref ref-type="bibr" rid="B69">Fern&#xe1;ndez-Remolar et al., (2005)</xref>; <xref ref-type="bibr" rid="B101">Hubbard et al., (2009)</xref>; <xref ref-type="bibr" rid="B255">S&#xe1;nchez-Andrea et al. (2011)</xref>
</td>
<td align="left">no data</td>
<td align="left">-30 to -170 <xref ref-type="bibr" rid="B262">Z&#xfa;&#xf1;iga et al., (1991)</xref>; <xref ref-type="bibr" rid="B10">Arias et al., (2017)</xref>
</td>
<td align="left">no data</td>
<td align="left">-100 to 1200 <xref ref-type="bibr" rid="B75">Fukushi et al., (2019)</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Alkalinity</td>
<td align="left">
<italic>-</italic>
</td>
<td align="left">Carbonate buffered <xref ref-type="bibr" rid="B261">Weand (1975)</xref>
</td>
<td align="left">Carbonate buffered <xref ref-type="bibr" rid="B119">Lacelle et al., (2008)</xref>
</td>
<td align="left">
<italic>no data</italic>
</td>
<td align="left">Carbonate buffered <xref ref-type="bibr" rid="B22">Borul, (2012)</xref>; <xref ref-type="bibr" rid="B167">Pedge et al., (2013)</xref>
</td>
<td align="left">Sulfate buffered <xref ref-type="bibr" rid="B128">Lowenstein and Risacher (2009)</xref>
</td>
<td align="left">Potentially buffered by silicates and carbonates <xref ref-type="bibr" rid="B83">Goudge et al., (2015)</xref>; <xref ref-type="bibr" rid="B54">Ehlmann et al., (2008)</xref>; <xref ref-type="bibr" rid="B225">Brown et al. (2020)</xref>
</td>
<td align="left">no data</td>
</tr>
<tr>
<td align="left">&#x2003;Dissolved Oxygen</td>
<td align="left">
<italic>mgL</italic>
<sup>
<italic>&#x2212;1</italic>
</sup>
</td>
<td align="left">30&#x2013;40 in the epilimnion, 0&#x2013;5 in the hypolimnion MCM LTER Data Repository</td>
<td align="left">no data</td>
<td align="left">6&#x2013;8 in river surface <xref ref-type="bibr" rid="B8">Amils et al., (2007)</xref>; <xref ref-type="bibr" rid="B234">Garc&#xed;a-Moyano et al., (2007)</xref>
</td>
<td align="left">9&#x2013;15 in the epilimnion, 0.1&#x2013;3 in the hypolimnion <xref ref-type="bibr" rid="B22">Borul, (2012)</xref>; <xref ref-type="bibr" rid="B167">Pedge et al., (2013)</xref>
</td>
<td align="left">0.6&#x2013;10 <xref ref-type="bibr" rid="B262">Z&#xfa;&#xf1;iga et al., (1991)</xref>; <xref ref-type="bibr" rid="B10">Arias et al., (2017)</xref>
</td>
<td align="left">no data</td>
<td align="left">no data</td>
</tr>
<tr>
<td align="left">&#x2003;Unique chemistries</td>
<td align="left">
<italic>-</italic>
</td>
<td align="left">Perchlorate (0.05&#x2013;0.5&#xa0;&#x3bc;g&#xa0;L<sup>&#x2212;1</sup>) <xref ref-type="bibr" rid="B103">Jackson et al., (2012)</xref>
</td>
<td align="left">N/A</td>
<td align="left">Highly concentrated heavy metals (Fe, Cu, Zn, As, Mn, Cr, etc.) <xref ref-type="bibr" rid="B228">Davis et al., (2000)</xref>
</td>
<td align="left">N/A</td>
<td align="left">Perchlorates are present; brines contain LiCl (up to 500 gL<sup>-1</sup>) <xref ref-type="bibr" rid="B67">Fern&#xe1;ndez-Remolar et al., (2013)</xref>
</td>
<td align="left">Low sulfur region of Mars <xref ref-type="bibr" rid="B244">Karunattillake et al., (2014)</xref>
</td>
<td align="left">N/A</td>
</tr>
<tr>
<td colspan="9" align="left">Biological activity and Biomarkers</td>
</tr>
<tr>
<td align="left">&#x2003;Location of extant microbial life</td>
<td align="left">
<italic>-</italic>
</td>
<td align="left">Lake water column, lake ice cover, streams, soils <xref ref-type="bibr" rid="B159">Paerl and Priscu (1998)</xref>; <xref ref-type="bibr" rid="B166">Patriarche et al., (2021)</xref>
</td>
<td align="left">Snowpack, streams, soils, shattered rocks <xref ref-type="bibr" rid="B34">Clarke et al., (2019)</xref>; <xref ref-type="bibr" rid="B37">Cockell et al., (2003)</xref>; <xref ref-type="bibr" rid="B36">Cockell et al., (2002)</xref>; <xref ref-type="bibr" rid="B227">Cockell et al., (2001)</xref>
</td>
<td align="left">Acidic springs, river, sediments <xref ref-type="bibr" rid="B30">Chacon-Baca et al., (2021)</xref>; <xref ref-type="bibr" rid="B255">S&#xe1;nchez-Andrea et al. (2011)</xref>; <xref ref-type="bibr" rid="B257">Sanz et al., (2011)</xref>
</td>
<td align="left">Lake water column, sediments <xref ref-type="bibr" rid="B144">Menzel et al., (2013)</xref>; <xref ref-type="bibr" rid="B212">Wani et al., (2006)</xref>; <xref ref-type="bibr" rid="B205">Thakker and Ranade (2002)</xref>
</td>
<td align="left">Lagoons, brines, salt crusts <xref ref-type="bibr" rid="B42">Cubillos et al., (2018)</xref>; <xref ref-type="bibr" rid="B232">Fernandez et al., (2016)</xref>; <xref ref-type="bibr" rid="B258">Stivaletta et al., (2011)</xref>
</td>
<td align="left">N/A</td>
<td align="left">N/A</td>
</tr>
<tr>
<td align="left">&#x2003;Extant microbial communities</td>
<td align="left">-</td>
<td align="left">Cyanophyte and crysophyte algae in water column, cyanobacterial mats in streams and lake margins <xref ref-type="bibr" rid="B159">Paerl and Priscu (1998)</xref>; <xref ref-type="bibr" rid="B166">Patriarche et al., (2021)</xref>
</td>
<td align="left">Endolithic cyanobacterial communities in gneisses <xref ref-type="bibr" rid="B37">Cockell et al., (2003)</xref>
</td>
<td align="left">Diatoms, bacteria and archaea in acidic springs bacteria and fungi <xref ref-type="bibr" rid="B30">Chacon-Baca et al., (2021)</xref>; <xref ref-type="bibr" rid="B255">S&#xe1;nchez-Andrea et al. (2011)</xref>; <xref ref-type="bibr" rid="B257">Sanz et al., (2011)</xref>
</td>
<td align="left">Mainly cyanobacteria, few zooplankton, mainly ciliates and rotifers, bacteria <xref ref-type="bibr" rid="B144">Menzel et al., (2013)</xref>; <xref ref-type="bibr" rid="B212">Wani et al., (2006)</xref>; <xref ref-type="bibr" rid="B205">Thakker and Ranade (2002)</xref>
</td>
<td align="left">Brines only support archaeal genera from family Halobacteriaceae<italic>;</italic> lagoons support halophilic cyanobacteria <xref ref-type="bibr" rid="B42">Cubillos et al., (2018)</xref>; <xref ref-type="bibr" rid="B232">Fernandez et al., (2016)</xref>; <xref ref-type="bibr" rid="B258">Stivaletta et al., (2011)</xref>
</td>
<td align="left">N/A</td>
<td align="left">N/A</td>
</tr>
<tr>
<td align="left">&#x2003;Biomarkers</td>
<td align="left">-</td>
<td align="left">Cyanobacterial filament sheaths, diatom frustules, protozoan cysts, photosynthetic pigments, and minerals <xref ref-type="bibr" rid="B50">Doran et al., (1994)</xref>; <xref ref-type="bibr" rid="B230">Doran et al., (1998)</xref>
</td>
<td align="left">Tricyclic terpanes, hopanes, steranes, pregnanes in melt breccias; hopanes in limestone bedrock, recent sediments and recent ice; squalene, diploptene, C40 carotenoids, n-alkanes <xref ref-type="bibr" rid="B36">Cockell et al., (2002)</xref>; <xref ref-type="bibr" rid="B127">Lindgren et al., (2009)</xref>; <xref ref-type="bibr" rid="B165">Parnell et al., (2004)</xref>; <xref ref-type="bibr" rid="B164">Parnell et al., (2005)</xref>
</td>
<td align="left">Filamentous or coccoidal bacteria-like fossils, larger filaments of fungi and/or green algae <xref ref-type="bibr" rid="B68">Fern&#xe1;ndez-Remolar and Knoll (2008)</xref>
</td>
<td align="left">Leaf wax n-alkanes, microbial mats, n-heptadecane, carotenoids, diploptene, phytane, moretene <xref ref-type="bibr" rid="B185">Sarkar et al., (2015)</xref>
</td>
<td align="left">N-alkanes, n-fatty acids, n-aldehydes, n-alkanols, isoprenoids, steroids, and hopanoids <xref ref-type="bibr" rid="B67">Fern&#xe1;ndez-Remolar et al., (2013)</xref>; <xref ref-type="bibr" rid="B256">S&#xe1;nchez-Garc&#xed;a et al., (2018)</xref>
</td>
<td align="left">N/A</td>
<td align="left">N/A</td>
</tr>
<tr>
<td align="left">&#x2003;Macrobiogenic structures</td>
<td align="left">-</td>
<td align="left">Cyanobacterial mats in streams, lake margin <xref ref-type="bibr" rid="B252">Parker et al., (1981)</xref>
</td>
<td align="left">Biofilms in meltwater streams, endostromatolites <xref ref-type="bibr" rid="B36">Cockell et al., (2002)</xref>
</td>
<td align="left">Goethite stromatolites (biogenicity is unconfirmed) <xref ref-type="bibr" rid="B30">Chacon-Baca et al., (2021)</xref>; <xref ref-type="bibr" rid="B68">Fern&#xe1;ndez-Remolar and Knoll (2008)</xref>
</td>
<td align="left">Cyanobacterial mats <xref ref-type="bibr" rid="B201">Surakasi et al., (2010)</xref>; Sarkar et al., (2014)</td>
<td align="left">Microbial mats and microbialites <xref ref-type="bibr" rid="B47">Dorador et al., (2018)</xref>; <xref ref-type="bibr" rid="B60">Far&#xed;as et al., (2014)</xref>; <xref ref-type="bibr" rid="B62">Far&#xed;as and Acuna (2020)</xref>
</td>
<td align="left">N/A</td>
<td align="left">N/A</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s2-1">
<title>2.1 Haughton Impact Crater</title>
<p>Located on Devon Island in the Canadian Arctic, the Haughton Impact Crater (HIC) is a large crater (23&#xa0;km in diameter) formed by an impact approximately 39&#xa0;Ma (<xref ref-type="bibr" rid="B156">Osinski and Lee, 2005</xref>). While a crater lake may have been present immediately after the impact, subsequent erosion removed any evidence along with impactites (<xref ref-type="bibr" rid="B156">Osinski and Lee, 2005</xref>). A lake formed within &#x223c;8&#x2013;10 million years of the impact, resulting in the Haughton Formation of dolomite-rich Miocene-age lacustrine sediments (<xref ref-type="bibr" rid="B96">Hickey et al., 1988</xref>). The paleohydrology of the lake responsible for the Haughton Formation is poorly constrained, and Quaternary glacial and fluvioglacial sediments overlay the formation itself (<xref ref-type="bibr" rid="B119">Lacelle et al., 2008</xref>). The modern climate at HIC is broadly consistent with a polar desert (<xref ref-type="bibr" rid="B119">Lacelle et al., 2008</xref>), and water is present mainly as ice, including surface ice, ground ice, and semi-permanent snowbanks (<xref ref-type="bibr" rid="B34">Clarke et al., 2019</xref>), with seasonal streams that transport cobble to gravel-sized sediment constituting the only liquid water (<xref ref-type="bibr" rid="B156">Osinski and Lee, 2005</xref>; <xref ref-type="bibr" rid="B119">Lacelle et al., 2008</xref>). Geochemical characterization of these water sources is consistent with dolomite dissolution (<xref ref-type="bibr" rid="B119">Lacelle et al., 2008</xref>), with several lacustrine sediment samples from the Haughton Formation yielding high sulfate concentrations (<xref ref-type="bibr" rid="B126">L&#xe9;veill&#xe9;, 2007</xref>). Solute concentrations and pH values (7.5&#x2013;8.3) were lowest in residual snowbanks and increased in snow meltwater and streams, indicating progressive carbonate dissolution (<xref ref-type="bibr" rid="B119">Lacelle et al., 2008</xref>).</p>
<p>As a desiccated impact structure that once held a paleolake and currently has a cold desert climate, HIC is a compelling analog to Gale and Jezero craters. Despite the harsh environment, there is abundant evidence of biological activity and biomarker preservation in HIC. Biofilms form on meltwater streaks (several m wide and 100&#xa0;s of m long) on the crater wall that are comparable to recurring slope lineae on Mars (<xref ref-type="bibr" rid="B34">Clarke et al., 2019</xref>) and may be possible to characterize with sub-meter resolution imagery (i.e. aerial, drone, or field-based data). Large sulfur isotope fractionations in the sulfate-rich bedrock (<xref ref-type="bibr" rid="B163">Parnell et al., 2010</xref>) provides evidence for persistent microbial sulfate reduction. Endolithic microbial communities, including cyanobacterial species, can thrive in the impact-shocked rocks at HIC (<xref ref-type="bibr" rid="B36">Cockell et al., 2002</xref>, <xref ref-type="bibr" rid="B37">2003</xref>). Finally, various lipid biomarkers of biogenic origin, including tricyclic terpenes, hopanes, steranes, and pregnanes (<xref ref-type="bibr" rid="B162">Parnell et al., 2006</xref>; <xref ref-type="bibr" rid="B120">Lacelle et al., 2009</xref>; <xref ref-type="bibr" rid="B127">Lindgren et al., 2009</xref>), occur in HIC microenvironments such as melt breccias, dolomitic limestone bedrock, and young surface ice (<xref ref-type="bibr" rid="B165">Parnell et al., 2004</xref>, <xref ref-type="bibr" rid="B164">2005</xref>).</p>
</sec>
<sec id="s2-2">
<title>2.2 Atacama Salars</title>
<p>The Atacama Desert in Northern Chile is the oldest continually arid region on Earth, with desert conditions having developed in the Late Triassic (<xref ref-type="bibr" rid="B33">Clarke, 2006</xref>; <xref ref-type="bibr" rid="B107">Jordan et al., 2014</xref>). Precipitation of up to 25&#xa0;mm&#xa0;yr<sup>&#x2212;1</sup> falls mainly in the austral summer and potential evaporation is &#x223c;2000&#xa0;mm&#xa0;yr<sup>&#x2212;1</sup>, resulting in a negative hydric water balance (<xref ref-type="bibr" rid="B177">Risacher et al., 1999</xref>). Persistent desert conditions have formed distinctly Mars-like soils, which are up to 2 million years old, and are characterized by extremely low moisture, low concentrations of organic matter, and Mars-like salt compositions, including perchlorates (<xref ref-type="bibr" rid="B55">Ericksen, 1983</xref>; <xref ref-type="bibr" rid="B150">Navarro-Gonz&#xe1;lez et al., 2003</xref>; <xref ref-type="bibr" rid="B56">Ewing et al., 2008</xref>). Atacama surface soils have the highest concentrations of perchlorate found naturally on Earth (up to 0.6&#xa0;wt%), which approach the concentrations reported for Martian soils (0.5&#x2013;1&#xa0;wt%, <xref ref-type="bibr" rid="B44">Davila et al., 2013</xref>). This mountainous region contains many closed (up to hundreds of meters) evaporitic basins, known as salt flats or <italic>salars</italic>, some of which contain saline lakes or liquid brines.</p>
<p>Salar de Atacama is the largest evaporitic basin (<xref ref-type="bibr" rid="B12">Arriagada et al., 2006</xref>; <xref ref-type="bibr" rid="B70">Flahaut et al., 2017</xref>). Smaller basins, such as Salar de Laco and Salar de Aguas Calientes, are located at higher elevation (<xref ref-type="bibr" rid="B70">Flahaut et al., 2017</xref>; <xref ref-type="bibr" rid="B4">Aerts et al., 2020</xref>). Considered together, these salars represent a natural gradient in elevation, temperature, evaporation, and soil moisture (<xref ref-type="bibr" rid="B178">Risacher et al., 2003</xref>; <xref ref-type="bibr" rid="B4">Aerts et al., 2020</xref>). Solar irradiance is uniformly high. Salar lakes (lagoons) and pools are fed by ephemeral streams, snowmelt, springs, and/or groundwater; evaporation exceeds inflows in all cases and salinities range from hypo to hypersaline (<xref ref-type="bibr" rid="B24">Boschetti et al., 2007</xref>). Salar brines are hypersaline (350&#x2013;550 gL<sup>-1</sup> of salt), near neutral pH, with low redox potential (&#x3c;-30&#xa0;mV) (<xref ref-type="bibr" rid="B178">Risacher et al., 2003</xref>; <xref ref-type="bibr" rid="B24">Boschetti et al., 2007</xref>; <xref ref-type="bibr" rid="B10">Arias et al., 2017</xref>; <xref ref-type="bibr" rid="B42">Cubillos et al., 2018</xref>). No brines in the Atacama are alkaline (<xref ref-type="bibr" rid="B128">Lowenstein and Risacher, 2009</xref>). Mean annual air temperatures range from 1 to 14&#xb0;C, depending on elevation, and mean daily water temperatures range from 10 to 25&#xb0;C, depending on season and elevation (<xref ref-type="bibr" rid="B24">Boschetti et al., 2007</xref>; <xref ref-type="bibr" rid="B42">Cubillos et al., 2018</xref>).</p>
<p>Despite the multiple extreme conditions, patchy microbial communities survive in both surface and subsurface soils and in the hypersaline brines, though the population of bacterial cells in soils is low (or was not detected) in some areas (<xref ref-type="bibr" rid="B150">Navarro-Gonz&#xe1;lez et al., 2003</xref>; <xref ref-type="bibr" rid="B38">Connon et al., 2007</xref>; <xref ref-type="bibr" rid="B40">Crits-Christoph et al., 2013</xref>). Fueled by the hygroscopic abilities of halite, endoevaporitic microbial communities (dominated by phototrophs), persist 3&#x2013;7&#xa0;mm beneath salt crusts (<xref ref-type="bibr" rid="B215">Wierzchos et al., 2006</xref>; <xref ref-type="bibr" rid="B43">Davila et al., 2008</xref>). Halophilic archaea from the family Halobacteriaceae, some of which are capable of surviving in high lithium environments, thrive in salt crusts, brines, and pools (<xref ref-type="bibr" rid="B42">Cubillos et al., 2018</xref>).</p>
<p>Salar soils contain biomarkers in Neogene evaporites that record past aqueous conditions (<xref ref-type="bibr" rid="B172">Pueyo et al., 2002</xref>). Lipid biomarkers, which are diagnostic of prokaryotic life (<xref ref-type="bibr" rid="B216">Wilhelm et al., 2017</xref>, <xref ref-type="bibr" rid="B217">2019</xref>; <xref ref-type="bibr" rid="B256">S&#xe1;nchez-Garc&#xed;a et al., (2018)</xref>), are well-preserved in salars due to the hyperaridity (<xref ref-type="bibr" rid="B216">Wilhelm et al., 2017</xref>) and presence of halite and gypsum salts (<xref ref-type="bibr" rid="B67">Fern&#xe1;ndez-Remolar et al., 2013</xref>; <xref ref-type="bibr" rid="B51">dos Santos et al., 2016</xref>).</p>
</sec>
<sec id="s2-3">
<title>2.3 Lake Bonney, Dry Valleys, Antarctica</title>
<p>The McMurdo Dry Valleys (MDV) contain numerous lakes and are the largest ice-free portion of the Antarctic continent (<xref ref-type="bibr" rid="B141">McKnight et al., 1999</xref>). Conditions in this polar desert ecosystem are cold (mean annual temperature is &#x2212;17 to &#x2212;25&#xb0;C) and arid (mean annual precipitation is &#x3c;10&#xa0;mm), and experience strong katabatic winds from the polar plateau (<xref ref-type="bibr" rid="B72">Fountain et al., 1999</xref>; <xref ref-type="bibr" rid="B49">Doran et al., 2002</xref>; <xref ref-type="bibr" rid="B48">Doran and Fountain, 2021</xref>)<italic>.</italic>
</p>
<p>The MDV region contains several ice-covered lakes in hydraulically closed basins that receive inputs mainly from local glaciers (<xref ref-type="bibr" rid="B72">Fountain et al., 1999</xref>; <xref ref-type="bibr" rid="B82">Gooseff et al., 2011</xref>). Lake Bonney is the most-well studied, beginning in the 1960s (e.g., <xref ref-type="bibr" rid="B11">Armitage and House, 1962</xref>), and receives water inputs from four ephemeral streams fed by Taylor Glacier, which it abuts. Water remains liquid (&#x2212;5&#xb0;C to &#x2b;6&#xb0;C) due to heat from solar radiation, stream inflow, and the latent heat of ice formation (<xref ref-type="bibr" rid="B140">McKay et al., 1985</xref>). Bonney consists of two lobes (East and West) that are connected by a shallow sill; both lobes have highly stratified water columns that contain a fresh, well-oxygenated epilimnion that overlies a hypersaline (&#x3e;70&#xa0;ppt), suboxic or anoxic, nutrient rich hypolimnion (<xref ref-type="bibr" rid="B193">Spigel and Priscu, 1998</xref>; <xref ref-type="bibr" rid="B82">Gooseff et al., 2011</xref>). Of relevance to Mars, perchlorate has been measured in the water column (0.05&#x2013;0.5&#xa0;&#x3bc;gL<sup>&#x2212;1</sup>) (<xref ref-type="bibr" rid="B103">Jackson et al., 2012</xref>).</p>
<p>Antarctic perennially ice-covered aquatic environments are considered oases for life in a harsh, polyextreme environment. Lake Bonney&#x2019;s water column hosts a complex microbial ecosystem with evidence for phylogenetically diverse bacteria, microalgae and fungi and many microbial metabolisms, including photoautotrophy, mixotrophy, and chemolithoautotrophy (<xref ref-type="bibr" rid="B159">Paerl and Priscu, 1998</xref>; <xref ref-type="bibr" rid="B209">Vick-Majors et al., 2014</xref>; <xref ref-type="bibr" rid="B210">Vick-Majors and Priscu, 2019</xref>; <xref ref-type="bibr" rid="B166">Patriarche et al., 2021</xref>). Despite the ice cover limiting light to &#x3c;3% of incident, photosynthesis by cryptophytes and chrysophytes occurs in the epilimnion and phytoplankton and bacterioplankton production are maximized directly beneath the ice cover and just above the chemocline, where nutrients are supplied via diffusion (<xref ref-type="bibr" rid="B171">Priscu et al., 1988</xref>). Microbial sulfate reduction occurs below the chemocline in both lobes where sulfate is present (<xref ref-type="bibr" rid="B130">Lyons and Welch, 2016</xref>). Cyanobacterial mats are common in the lake margins (moats) that form during the short summer and in glacial meltwater streams (<xref ref-type="bibr" rid="B218">Wood et al., 2008</xref>; <xref ref-type="bibr" rid="B114">Kohler et al., 2016</xref>); dominant taxa include <italic>Phormidium</italic>, <italic>Nostoc</italic>, and <italic>Oscillatoria</italic> species, though diatom algae are also present (<xref ref-type="bibr" rid="B82">Gooseff et al., 2011</xref>). Recent research demonstrates the potential for these microbiological mat communities to be characterized via orbital data (<xref ref-type="bibr" rid="B169">Power et al., 2020</xref>; <xref ref-type="bibr" rid="B182">Salvatore et al., 2020</xref>).</p>
<p>Lake sediments contain many biomarkers, including cyanobacterial filament sheaths, diatom frustules, protozoan cysts, photosynthetic pigments, and minerals (e.g., carbonates) associated with microbial activity (<xref ref-type="bibr" rid="B50">Doran et al., 1994</xref>). This site is the only analog that is completely devoid of plants, metazoans, and human influence and therefore provides a unique opportunity to study microbial interactions in a Mars-like system with few confounding factors.</p>
</sec>
<sec id="s2-4">
<title>2.4 Lonar Lake</title>
<p>Lonar Lake (LON) is shallow (max depth 6&#xa0;m) and occupies a young impact crater formed between 15 and 570&#xa0;ka (<xref ref-type="bibr" rid="B187">Sengupta and Bhandari, 1988</xref>; <xref ref-type="bibr" rid="B188">Sengupta et al., 1997</xref>; <xref ref-type="bibr" rid="B198">Storzer and Koeberl, 2004</xref>; <xref ref-type="bibr" rid="B108">Jourdan et al., 2011</xref>). The crater is located on a &#x223c;65&#xa0;Ma Deccan basalt that overlies the southern Indian shield in the Buldhana district, Maharashtra, India (<xref ref-type="bibr" rid="B118">Kumar, 2005</xref>; <xref ref-type="bibr" rid="B221">Wright, 2014</xref>). Primary minerals include plagioclase (labradorite) and pyroxenes (augite and pigeonite) (<xref ref-type="bibr" rid="B134">Maloof et al., 2010</xref>). Hydrothermal alteration materials including saponite, celadonite, and calcite (<xref ref-type="bibr" rid="B91">Hagerty and Newsom, 2003</xref>), are proposed to be the result of groundwater interactions with remnant impact energy (<xref ref-type="bibr" rid="B151">Nayak, 1996</xref>). The impact excavated into the multi-layer basaltic aquifer, forming a closed basin lake approximately 25&#x2013;65&#xa0;m below local springs (<xref ref-type="bibr" rid="B144">Menzel et al., 2013</xref>, <xref ref-type="bibr" rid="B143">2014</xref>; <xref ref-type="bibr" rid="B116">Komatsu et al., 2014</xref>). Lonar lies in the core monsoon zone, and surface runoff is the dominant water source during the monsoon season from July to September, with groundwater springs on the crater walls predominant in the dry season (<xref ref-type="bibr" rid="B116">Komatsu et al., 2014</xref>; <xref ref-type="bibr" rid="B143">Menzel et al., 2014</xref>). Streams have incised Dhara Canyon and formed an alluvial fan inside the crater (<xref ref-type="bibr" rid="B144">Menzel et al., 2013</xref>, <xref ref-type="bibr" rid="B143">2014</xref>). The lake is saline (8&#x2013;40&#xa0;ppt) and hyperalkaline (3,000&#x2013;5,000&#xa0;mg/L) due to evaporative concentration, with pH from 9.5 to 10.5 (<xref ref-type="bibr" rid="B22">Borul, 2012</xref>; <xref ref-type="bibr" rid="B144">Menzel et al., 2013</xref>; <xref ref-type="bibr" rid="B167">Pedge and Ahirrao, 2013</xref>). The water column is highly eutrophic, and the water appears yellow-green to dark green due to the high concentration of algae and dissolved solids (<xref ref-type="bibr" rid="B202">Surve et al., 2021</xref>). Laminated sediments form in the anoxic zone (below 4&#xa0;m), constituting one of the few climate records in Central India (<xref ref-type="bibr" rid="B144">Menzel et al., 2013</xref>).</p>
<p>Microbial life is diverse in the waters of Lonar lake, including cyanobacteria, planctomycetes, spirochaetes, and an alkalophilic methanogen (<xref ref-type="bibr" rid="B205">Thakker and Ranade, 2002</xref>). Cytophagales and microaerophilic Bacteroidaceae are abundant in soils and contribute to organic matter remineralization (<xref ref-type="bibr" rid="B212">Wani et al., 2006</xref>). Lake sediments preserve a variety of biomarkers (i.e., <italic>n</italic>-alkanes from leaf waxes, <italic>n</italic>-heptadecane, carotenoids, diplotene, phytane, and moretene) ranging from 1.4 to 10.1 Ka (<xref ref-type="bibr" rid="B185">Sarkar et al., 2015</xref>).</p>
</sec>
<sec id="s2-5">
<title>2.5 R&#xed;o Tinto, Spain (RIO)</title>
<p>The R&#xed;o Tinto system, located in the Iberian Pyritic Belt in Southwest Spain, is the world&#x2019;s largest acidic river (&#x223c;95&#xa0;km long) (<xref ref-type="bibr" rid="B25">Boulter, 1993</xref>). The estuary system, formed via hydrothermal activity approximately 2&#xa0;Ma (<xref ref-type="bibr" rid="B69">Fern&#xe1;ndez-Remolar et al., 2005</xref>), flows through ore deposits (iron and copper sulfides) to the Atlantic Ocean. These subsurface deposits include copiapite, jarosite, schwertmannite, halotrichite, and gypsum and are generally depleted in organic compounds (<xref ref-type="bibr" rid="B52">Edwards et al., 2007</xref>). Despite freshwater inputs and seasonal wetting-drying cycles, the Tinto River headwaters are characterized by high acidity (pH 2&#x2013;2.5) and high concentrations of iron and other heavy metals (i.e., Cu, Zn, As, Mn, Cr, etc.) (<xref ref-type="bibr" rid="B8">Amils et al., 2007</xref>; <xref ref-type="bibr" rid="B101">Hubbard et al., 2009</xref>; <xref ref-type="bibr" rid="B30">Chacon-Baca et al., 2021</xref>). The headwaters are an extremely oxidizing environment with redox potential ranging from 220 to 700&#xa0;mV (<xref ref-type="bibr" rid="B69">Fern&#xe1;ndez-Remolar et al., 2005</xref>; <xref ref-type="bibr" rid="B101">Hubbard et al., 2009</xref>). Many minerals with relevance to Mars form in the seasonally arid streambeds, including iron oxides and ferric sulfates (such as hydronium jarosite) (<xref ref-type="bibr" rid="B69">Fern&#xe1;ndez-Remolar et al., 2005</xref>).</p>
<p>Most biomass at R&#xed;o Tinto is constrained to the riverbed and rock surfaces, where filamentous algae and fungi form biofilms that trap prokaryotic organisms (<xref ref-type="bibr" rid="B6">Amaral Zettler et al., 2002</xref>; <xref ref-type="bibr" rid="B8">Amils et al., 2007</xref>; <xref ref-type="bibr" rid="B5">Aguilera et al., 2010</xref>), but iron and sulfur oxidizing microbes do grow in subsurface sulfide deposits via chemolithotrophic metabolisms (<xref ref-type="bibr" rid="B69">Fern&#xe1;ndez-Remolar et al., 2005</xref>; <xref ref-type="bibr" rid="B8">Amils et al., 2007</xref>). High concentrations of subsurface methane suggest anaerobic methane oxidizing microbes may also be present (<xref ref-type="bibr" rid="B7">the MARTE Team et al., 2008</xref>)<italic>.</italic> While subsurface deposits are generally organic-poor, smectite phyllosilicates contain organic carbon and preserve a diversity of biomarkers (<xref ref-type="bibr" rid="B68">Fern&#xe1;ndez-Remolar and Knoll, 2008</xref>). Ironstones in headwater terraces contain well-preserved macroscopic and microscopic biosignatures within iron oxide precipitates (<xref ref-type="bibr" rid="B69">Fern&#xe1;ndez-Remolar et al., 2005</xref>).</p>
</sec>
</sec>
<sec id="s3">
<title>3 Synthesis</title>
<p>While each analog site is unique with respect to geologic setting, climate, and geochemistry, all have relevance to Late Noachian through Early Hesperian lakes on Mars, and together inform our understanding of how habitability and biosignature preservation varies across extant terrestrial analogs. Each analog also has considerable remote and <italic>in situ</italic> geological and biological observations. Below we compare water geochemistry at analog sites to that predicted for crater lakes at Gale and Jezero, discuss patterns in biosignature preservation at each analog, and explore how incorporating remotely sensed observations with rover-scale field-studies can increase the value of such studies to the field of astrobiology.</p>
<sec id="s3-1">
<title>3.1 Microbial Habitability</title>
<p>Field sites relevant to astrobiology experience environmental conditions that expand our understanding of the limits for life (defined as microbial growth or metabolism). On Earth, microbial habitability is limited primarily by water availability and activity (<italic>a</italic>
<sub>
<italic>w</italic>
</sub>), where water activity is related to the amount of water in a liquid (<xref ref-type="bibr" rid="B170">Price and Sowers, 2004</xref>; <xref ref-type="bibr" rid="B145">Merino et al., 2019</xref>). Microbes prefer higher <italic>a</italic>
<sub>
<italic>w</italic>
</sub> liquids and the lower limit observed for life is <italic>a</italic>
<sub>
<italic>w</italic>
</sub> &#x3d; 0.6, but most microbes cannot grow at <italic>a</italic>
<sub>
<italic>w</italic>
</sub> &#x3c; 0.9 and only extremophilic microbes can survive below <italic>a</italic>
<sub>
<italic>w</italic>
</sub> &#x3d; 0.75 (<xref ref-type="bibr" rid="B154">Oren, 2008</xref>). Other geochemical characteristics of water, such as temperature and salinity, influence life via the modulation of water availability. In addition to water, life requires an energy source to drive chemical reactions (<xref ref-type="bibr" rid="B105">Jelen et al., 2016</xref>). Physiochemical gradients generate variable redox conditions and these gradients along with proton gradients, likely fueled metabolism and growth as microbial life arose on Earth (<xref ref-type="bibr" rid="B121">Lane et al., 2010</xref>).</p>
<p>Each terrestrial analog experiences multiple extreme conditions, and yet microbial communities persist at all sites, demonstrating the ability of extremophilic life to adapt simultaneously to multiple stressors. This occurrence suggests that life may have evolved to withstand the conditions of nearly every niche on Earth, albeit at varying abundances and levels of diversity (<xref ref-type="bibr" rid="B145">Merino et al., 2019</xref>). To examine the limits of habitability on Earth and make inferences about the potential habitability of Mars, it is useful to compare the unique combination of boundary conditions that control habitability and influence the structure and function of microbial communities at terrestrial analogs to those predicted for ancient Mars lakes. Here, we characterize four key environmental parameters at each analog&#x2014;pH, temperature, salinity, and redox potential (<xref ref-type="fig" rid="F5">Figure 5</xref>). The similarity of analog boundary conditions to the conditions predicted for Late Noachian to Early Hesperian lakes in Gale and Jezero craters is indicated by overlapping polygons in this multidimensional space. The polar desert analogs (HIC and BON) are characterized by cold, neutral water with moderate salinity (&#x3c;50&#xa0;ppt) and a wide range of redox potentials, and in these ways are most similar to our current understandings of the Martian paleolakes in Gale and Jezero craters. While the remaining sites show less similarity in these four parameters than HIC or BON, they are important for gaining insight into the capability of life to adapt to environments with very low water activity (ATC brines), where mineral assemblages are similar to Mars (RIO), and in basaltic crater lakes (LON).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>
<bold>(A)</bold> The temperature, salinity, pH and redox potential (<italic>E</italic>
<sub>
<italic>h</italic>
</sub>) boundaries predicted for Mars lakes during the Late Noachian to Early Hesperian. Martian lakes compared to <bold>(B&#x2013;F)</bold> boundaries observed for five terrestrial Mars analog sites discussed in the main text. Each polygon edge (thick lines) represents the range observed for a single parameter. Filled polygon areas represent parameter distributions in multidimensional space. The dashed polygons in <bold>(B&#x2013;F)</bold> compare the martian lakes parameter distribution to each terrestrial analog. Missing values are indicated by the absence of a polygon edge on a particular axis. Note that the Mars lakes polygon <bold>(A)</bold> depicts best estimates of parameter ranges when liquid water was present. All of the terrestrial analog polygons <bold>(B&#x2013;F)</bold> depict boundaries for liquid water present in the modern environment. Modeled after <xref ref-type="bibr" rid="B145">Merino et al., 2019</xref>.</p>
</caption>
<graphic xlink:href="fspas-09-849078-g005.tif"/>
</fig>
<p>These comparisons between environmental conditions at terrestrial analogs and in Mars paleo-lakes (<xref ref-type="fig" rid="F5">Figure 5</xref>) may assist researchers to select the analog that is most appropriate to address specific research questions and goals. One limitation of these comparisons is that they depict only the endpoints of published environmental parameters in the present and do not consider how boundary conditions co-vary spatially or temporally (e.g., over seasonal, interannual, or geological time scales). For example, shortly after impacts, hydrothermal systems are known to develop (<xref ref-type="bibr" rid="B157">Osinski et al., 2013</xref>). Hydrothermal systems have been proposed as locations where life may have originated on Earth or on Mars. Most impact events that form large craters (&#x3e;2&#xa0;km diameter on Earth, &#x3e;5&#xa0;km on Mars) have the potential to general a hydrothermal system (<xref ref-type="bibr" rid="B157">Osinski et al., 2013</xref>). The geochemical parameters of the hydrothermal system will evolve over time as the impact crater cools (eg., <xref ref-type="bibr" rid="B117">Kring et al., 2020</xref>). On Earth, salinities in hydrothermal fluids are often initially high (&#x223c;20% NaCl) at high temps (75&#x2013;100&#xb0;C) and decrease as temperatures cool (<xref ref-type="bibr" rid="B129">L&#xfc;ders and Rickers, 2004</xref>). Anoxic or potentially euxinic conditions can develop depending on how isolated the crater basin is from the surrounding aqueous environment (<xref ref-type="bibr" rid="B158">O&#x2019;Sullivan et al., 2016</xref>). Redox conditions depend on the minerals present, and hydrothermal craters on Earth can support several microbial metabolisms, including iron reduction, sulfate reduction, sulfur reduction, and methane oxidation (<xref ref-type="bibr" rid="B117">Kring et al., 2020</xref>). Habitable temperatures (&#x3c;120&#xb0;C) can persist in impact-induced hydrothermal systems for &#x223c;10<sup>3</sup>&#x2013;10<sup>5</sup>&#xa0;years, depending on the impact size and host rock permeability (<xref ref-type="bibr" rid="B2">Abramov, 2004</xref>; <xref ref-type="bibr" rid="B117">Kring et al., 2020</xref>).</p>
<p>Microorganisms are present within the entirety of the phase space represented at each analog. The diversity, evenness, and abundance of microbial life, however, will vary greatly within the phase space as fewer organisms can tolerate the more &#x201c;extreme&#x201d; range of conditions, especially when multiple extreme conditions co-occur. Understanding how these parameters combine to limit life and shape its distribution in time and space is critical to further our understanding of whether life could have evolved on Mars and where to look for it.</p>
</sec>
<sec id="s3-2">
<title>3.2 Biosignature Preservation Potential at Analog Sites</title>
<p>Biosignature preservation potential refers to the likelihood that an organic biomarker is lithified and survives diagenesis and/or other degradation processes to be detectable in the present day. Biosignature preservation is extremely heterogeneous due to many factors that vary over small spatial scales (i.e., mm to cm), such as water activity and availability, UV radiation, oxygenation (redox potential), and the formation of organic-mineral complexes which can protect lipids from degradation (<xref ref-type="bibr" rid="B95">Hays et al., 2017</xref>). By compiling previous research conducted at the selected Mars analog sites we can examine how mineralogy and environmental conditions impact biosignature preservation potential. A variety of organic biomarkers have been recovered from Mars analogs (<xref ref-type="table" rid="T1">Table 1</xref>, <xref ref-type="sec" rid="s9">Supplementary Figure S1</xref>, <xref ref-type="sec" rid="s9">Supplementary Table S3</xref>), however, we focused our analysis on lipids, which are important targets for identifying biosignatures on Mars because these complex organic molecules have a low probability of abiotic origin (<xref ref-type="bibr" rid="B46">Des Marais, 2013</xref>) and are likely to survive long-term storage (i.e., &#x223c;10<sup>6</sup>&#xa0;years) on Mars (<xref ref-type="bibr" rid="B76">Georgiou and Deamer, 2014</xref>; <xref ref-type="bibr" rid="B196">Srivastava et al., 2020</xref>). Lipid biomarkers have been recovered at all five sites, demonstrating that every site preserves biosignatures over Quaternary to Jurassic timescales (up to 10<sup>8</sup>&#xa0;years) regardless of differences in local mineralogy (<xref ref-type="table" rid="T1">Table 1</xref>, <xref ref-type="sec" rid="s9">Supplementary Figure S1</xref>, <xref ref-type="sec" rid="s9">Supplementary Table S3</xref>). Lipid biomarkers are categorized into five classes based on hydrocarbon identity and structure after <xref ref-type="bibr" rid="B27">Brocks and Summons (2003)</xref>. While the taxonomic specificity of lipid biomarkers varies, in general, they provide some insight into what classes of organisms were present in ancient ecosystems (<xref ref-type="bibr" rid="B200">Summons et al., 2021</xref>).</p>
<p>Because the surficial mineralogy of Mars can be characterized remotely, understanding how mineralogy affects preservation of biomolecules on Earth is a priority. For example, studies have shown that soils and sediments with high abundances of clay minerals (phyllosilicates) prevent diagenesis and tend to preserve organics well (e.g., <xref ref-type="bibr" rid="B95">Hays et al., 2017</xref>). Clay mineral assemblages are found at all analog sites except HIC and may promote biomarker preservation. All six classes of lipid biomarkers have been detected in clay minerals at BON, though the age of these biomarkers has not been determined (<xref ref-type="bibr" rid="B50">Doran et al., 1994</xref>). Lipid biomarkers are also well-preserved in halide minerals, such as the halite and gypsum salts found in ATC (<xref ref-type="bibr" rid="B67">Fern&#xe1;ndez-Remolar et al., 2013</xref>; <xref ref-type="bibr" rid="B51">dos Santos et al., 2016</xref>). At RIO, 2&#x2013;8&#xa0;Ma fossils are well-preserved, likely due to the presence of iron oxide (microfossils) and goethite (macrofossils) (<xref ref-type="bibr" rid="B68">Fern&#xe1;ndez-Remolar and Knoll, 2008</xref>). Iron oxides increase preservation by providing radiation protection (<xref ref-type="bibr" rid="B80">G&#xf3;mez G&#xf3;mez et al., 2004</xref>). This process is especially relevant to sedimentary rocks formed at Meridiani Planum, the landing site of the <italic>Opportunity</italic> rover<italic>,</italic> and suggests these rocks are capable of preserving evidence of microbial life (<xref ref-type="bibr" rid="B68">Fern&#xe1;ndez-Remolar and Knoll, 2008</xref>).</p>
<p>Environmental factors also impact preservation. Radiation exposure decreases preservation potential because long exposures can destroy organic molecules and alter their associated isotopic ratios (<xref ref-type="bibr" rid="B199">Summons et al., 2011</xref>)<italic>.</italic> Ultraviolet radiation exposure is especially high at high latitudes, like BON and HIC, and at high elevations, like regions of ATC. UV radiation protection might be encountered in deep lakes, lakes with high suspended solid concentrations, or areas with rapid soil/sediment accumulation (<xref ref-type="bibr" rid="B184">Santschi et al., 1990</xref>).</p>
<p>A second key environmental factor impacting biomarker preservation on Earth is the oxygen exposure time (<xref ref-type="bibr" rid="B176">Reiche et al., 2018</xref>). Highly productive aquatic systems tend to see high organic matter preservation owing to high respiration rates and correspondingly low oxygen levels (<xref ref-type="bibr" rid="B214">Wetzel, 2001</xref>). Similarly, high sediment accumulation rates in deltaic settings reduce the oxygen exposure time, thereby promoting preservation (<xref ref-type="bibr" rid="B149">Naeem et al., 2000</xref>; <xref ref-type="bibr" rid="B95">Hays et al., 2017</xref>). Deeper lakes promote preservation because anoxic conditions reduce oxidative diagenesis (<xref ref-type="bibr" rid="B17">Berner, 1989</xref>) and support sulfurization, which can preserve biosignatures (<xref ref-type="bibr" rid="B175">Raven et al., 2016</xref>). Sulfurization enhances preservation over geologic time scales by converting organic matter into more recalcitrant macromolecules. Sulfate minerals are common in Gale, for example in the Murray Formation, and sulfurization is a potential mechanism for preserving organic matter in mudstones. Exploring sulfurization preservation in analogs with deep, closed basin lakes with anoxic bottom waters, like Lake Bonney, would have strong relevance to Gale Crater. In particular, future studies should assess how organic matter structure, sedimentation rate and redox conditions impact the process of sulfurization. Most organic matter preserved in lacustrine and deltaic environments, however, is of terrestrial origin, and may obscure the signal of less productive <italic>in situ</italic> aquatic communities. Lake Bonney and Haughton Impact Crater, whose watersheds are either completely or partially devoid of terrestrial vegetation, may be especially useful for future biomarker research.</p>
<p>Subaerial environments on Earth&#x2019;s surface that do not have standing lakes or pools, like Haughton Impact Crater and Atacama soils, preserve a variety of organic, chemical, and isotopic biosignatures (<xref ref-type="bibr" rid="B98">Horgan, 2016</xref>). Extremely dry soils, like those of the Atacama, appear to preserve biomarkers well, especially when shielded from UV radiation (<xref ref-type="bibr" rid="B57">Fagliarone et al., 2020</xref>). The concentration of organics in these environments is variable, where high concentrations of organic matter are rare and often associated with microbial mats (<xref ref-type="bibr" rid="B95">Hays et al., 2017</xref>). Given the uncertainty in surface coverage of microbial communities in desert soils and potentially Mars, determining biomarker preservation potential in these environments is difficult.</p>
<p>The biomarker record at analog sites is complex and there are numerous caveats for interpretation even at locations whose geologic history and modern environment are well-characterized. More research is necessary to further elucidate the process of biomarker preservation within mineral matrices at terrestrial analogs, especially over longer timescales. Our analysis identifies which minerals are currently underexplored with respect to lipid biomarkers at each analog site (<xref ref-type="sec" rid="s9">Supplementary Figure S1</xref>). Such work is vital to predict what diagenetic processes could occur in similar environments on Mars and can inform site selection for future astrobiological missions.</p>
</sec>
<sec id="s3-3">
<title>3.3 Biosignature Preservation Potential on Mars</title>
<p>Many of the sedimentary rocks on the Martian surface have experienced minimal alteration since their deposition due to the lack of robust plate tectonics on Mars (<xref ref-type="bibr" rid="B26">Breuer and Spohn, 2003</xref>). For example, the ancient smectite-bearing mudstones found in Gale crater show little mineralogical evidence for burial diagenesis, despite burial depths of up to 5&#xa0;km (<xref ref-type="bibr" rid="B21">Borlina et al., 2015</xref>). This phenomenon likely increases the potential for biomarkers to be preserved. However, there are also many challenges for biomarker preservation on Mars, which were reviewed extensively by Hays and others (2017). Briefly, these include (1) water activity and availability, which impact both habitability and biosignature preservation potential; (2) chemical oxidants, such as perchlorates, are common in Martian regolith and can degrade organic biosignatures; and (3) high ultraviolet radiation on Mars&#x2019; surface. Exposure ages on Mars vary and some areas of Gale Crater are as young as 80 &#xb1; 30 million years (<xref ref-type="bibr" rid="B63">Farley et al., 2014</xref>), but continued exposure to ionizing radiation will eventually destroy all biomarker signals in the top few cm&#x2019;s of exposed regolith and can impact biomarkers in the top 1&#xa0;m of the surface (<xref ref-type="bibr" rid="B238">Hassler et al., 2014</xref>; <xref ref-type="bibr" rid="B95">Hays et al., 2017</xref>).</p>
<p>The rovers currently exploring Gale and Jezero craters, <italic>Curiosity</italic> and <italic>Perseverance</italic>, respectively, both possess analytical instrumentation capable of detecting lipid biosignatures (i.e., alkanes, isoprenoids, fatty acids, or alcohols) and other organic biomarkers. <italic>Curiosity</italic>, in Gale Crater, is outfitted with a suite of instruments known as the Sample Analysis at Mars (SAM), which can detect a variety of biosignatures ranging from polar and non-polar organics, large organic molecules (&#x3e;20&#xa0;C atoms per molecule), and refractory organics (<xref ref-type="bibr" rid="B131">Mahaffy et al., 2012</xref>). <italic>Perseverance,</italic> in Jezero Crater, carries the Scanning Habitable Environments with Raman and Luminescence for Organics and Chemicals (SHERLOC), which uses a UV Raman spectrometer and fine-scale imaging capabilities to detect biosignatures (<xref ref-type="bibr" rid="B16">Beegle et al., 2015</xref>).</p>
<p>Detecting certain lipid classes via mass spectroscopy methods often requires extraction in organic solvents and separation of the total lipid extract into component parts based on polarity (<xref ref-type="bibr" rid="B14">Azua-Bustos et al., 2020</xref>). SAM has the capabilities to perform some extractions, including volatilizing lipids for GC-MS analysis with tetramethylammonium hydroxide (<xref ref-type="bibr" rid="B217">Williams et al., 2019</xref>). The spectroscopic method used by SHERLOC does not require pre-derivatization but is more susceptible to matrix effects, which can occur when organics are mixed with regolith or sediment and have the potential to confound biomarker detection (<xref ref-type="bibr" rid="B1">Abbey et al., 2017</xref>). The detection limits for SAM (on the order of ppb, <xref ref-type="bibr" rid="B217">Williams et al., 2019</xref>) are approximately 1000 times more sensitive than for SHERLOC (on the order of ppm, <xref ref-type="bibr" rid="B16">Beegle et al., 2015</xref>). The <italic>Rosalind Franklin</italic> is scheduled to launch in September 2022 and expected to land in Oxia Planum, a clay-rich plain (<xref ref-type="bibr" rid="B135">Mandon et al., 2021</xref>), in mid-2023. This rover will detect biomarkers via the Mars Organic Molecular Analyzer (MOMA), which contains a gas chromatographic-mass spectrometer and a Raman spectrometer (<xref ref-type="bibr" rid="B189">Siljestr&#xf6;m et al., 2014</xref>; <xref ref-type="bibr" rid="B77">Goesmann et al., 2017</xref>). MOMA cannot perform complex pre-treatments and has a detection limit similar to SHERLOC (<xref ref-type="bibr" rid="B189">Siljestr&#xf6;m et al., 2014</xref>; <xref ref-type="bibr" rid="B77">Goesmann et al., 2017</xref>). Unlike the other rovers, the <italic>Rosalind Franklin</italic> can drill to 2&#xa0;m depths (<xref ref-type="bibr" rid="B109">Kereszturi et al., 2016</xref>), which may allow the collection of regolith with higher preservation potential. The concentration and distribution of biomarkers will have a large impact on the ability of rovers to detect biomarkers <italic>in situ</italic> due to these inherent instrument sensitivities. Thus, identification of targets that are most likely to harbor preserved biomarkers is critical. Field studies with rover-scale technologies at terrestrial analogs provides an opportunity to identify favorable working conditions for specific instruments or techniques and can increase the chance of detecting features of interest (e.g., <xref ref-type="bibr" rid="B20">Bontognali et al., 2021</xref>).</p>
</sec>
<sec id="s3-4">
<title>3.4 Remote Sensing at Analogs to Guide Exploration on Mars</title>
<p>Remote sensing techniques are a cornerstone of Mars research because they enable frequent coverage of large areas and are a cost-effective precursor to <italic>in situ</italic> analysis (<xref ref-type="bibr" rid="B132">Malin et al., 2007</xref>; <xref ref-type="bibr" rid="B207">van der Meer et al., 2012</xref>). Interpretation of satellite data informs landing site selection (<xref ref-type="bibr" rid="B79">Golombek et al., 2017</xref>; <xref ref-type="bibr" rid="B84">Grant et al., 2011</xref>, <xref ref-type="bibr" rid="B85">2018</xref>) and rover-based spectral and image data are used to determine targets for follow up <italic>in situ</italic> analysis, and in some cases, sample collection (i.e., <xref ref-type="bibr" rid="B64">Farley et al., 2020</xref>). In addition to providing information on topography and mineralogy, remote sensing may also be useful for detecting evidence of life and identifying regions on Mars amenable to subsurface sampling (<xref ref-type="bibr" rid="B111">Kereszturi, 2012a</xref>).</p>
<p>Applying remote sensing to terrestrial analogs with well-characterized biological features provides an opportunity to develop techniques to remotely detect signs of extant (and possibly extinct) microbial life. These techniques could be used to inform rover landing site selection and sample collection on Mars, as well as other terrestrial bodies with potential astrobiological importance. In <xref ref-type="sec" rid="s3-4-1">Section 3.4.1</xref>, we consider the spatial scale and morphology of macrobiogenic features (&#x3e; cm scale) at each analog in comparison with the resolution of Mars remote imagers to determine what types of observations would be necessary to detect these microbially-generated features. In <xref ref-type="sec" rid="s3-4-2">Section 3.4.2</xref>, we discuss visible and near infrared (VNIR) spectral features of minerals present at each analog in relation to instrumentation coverage of Mars imagers. Further, we consider which of the minerals that can be spectrally detected have high biomarker preservation potential, which can inform the search for putative biomarkers on Mars (<xref ref-type="bibr" rid="B23">Bosak et al., 2021</xref>).</p>
<sec id="s3-4-1">
<title>3.4.1 Remote Observation of Biogenic Features in Terrestrial Analogs</title>
<p>Microbial life can form macroscopic biological features (&#x3e; cm scale) including microbial mats/biofilms, microbialites, ooids, etc. Microbial mats and biofilms are present at all five analog sites, though these vary in species composition, morphology, and extent (spatial and temporal) (<xref ref-type="table" rid="T1">Table 1</xref>, <xref ref-type="sec" rid="s9">Supplementary Table S4</xref>). The McMurdo Dry Valleys host patchy cyanobacterial mats in the margins (moats) of ice-covered lakes and seasonal melt-water streams that are active only during the brief summer weeks (<xref ref-type="bibr" rid="B192">Sohm et al., 2020</xref>). These mats contain bacteria, archaea, and eukarya (diatoms) (<xref ref-type="bibr" rid="B250">Mikucki et al., 2010</xref>) and can span tens of meters around the lake margins and in streams (<xref ref-type="bibr" rid="B169">Power et al., 2020</xref>). Biofilms at Haughton Impact crater are similarly seasonally ephemeral; dark biofilm aggregates (species composition unknown) grow in melt streaks from semi-permanent snow patches during summer drainage (<xref ref-type="bibr" rid="B34">Clarke et al., 2019</xref>). While these melt streaks can reach up to 1&#xa0;km in length, they are more commonly several hundred meters in length, and have an average width of 7&#xa0;m. Extensive microbial mat communities in the surface waters and margins of Lonar Lake, dominated by phototrophs, show the opposite seasonality, where mat thickness and color depends on freshwater inflow, and these mats sometimes disappear entirely during the arid summer months (<xref ref-type="bibr" rid="B201">Surakasi et al., 2010</xref>; <xref ref-type="bibr" rid="B186">Sarkar et al., 2014</xref>). At their maximum extent, these mats can cover the entire lake surface (approximately 1&#xa0;km<sup>2</sup>). In contrast, thick surficial biofilms at Rio Tinto are ubiquitous on rock surfaces and are present year round (<xref ref-type="bibr" rid="B68">Fern&#xe1;ndez-Remolar and Knoll, 2008</xref>; <xref ref-type="bibr" rid="B30">Chacon-Baca et al., 2021</xref>). RIO biofilms are dominated by fungi that form dense streamers and host acid-tolerant bacteria and algae (mainly diatoms and chlorophytes) (<xref ref-type="bibr" rid="B6">Amaral Zettler et al., 2002</xref>; <xref ref-type="bibr" rid="B68">Fern&#xe1;ndez-Remolar and Knoll, 2008</xref>). In Atacama salars, sediment biofilms and microbial mats in hypersaline lake surface waters are dominated by halophilic bacteria and archaea, and are present year-round (<xref ref-type="bibr" rid="B47">Dorador et al., 2018</xref>; <xref ref-type="bibr" rid="B61">Far&#xed;as, 2020</xref>). The distribution of these mats is uneven and depends on small-scale variations in environmental controls.</p>
<p>Microbialites, formed when mineral detritus is trapped by extrapolymeric substances produced by microbial mats (<xref ref-type="bibr" rid="B153">Noffke et al., 2001</xref>), are present in Haughton and potentially Rio Tinto. At HIC, finely laminated calcite deposits occur in dolomitic bedrock outcrops within the impact structure and around its southern rim; these endostromatolites were likely formed via abiotic and microbially-mediated mineralization (<xref ref-type="bibr" rid="B120">Lacelle et al., 2009</xref>). The preserved microbial communities in limestone fissures mostly consist of aerobic and chemoheterotrophic bacteria (<xref ref-type="bibr" rid="B168">Pellerin et al., 2009</xref>). In the Rio Tinto headwaters, multilayered deposits of finely laminated goethite resemble stromatolites, though the biogenicity of these deposits has not been confirmed and they may have been formed via seasonally episodic sedimentation (<xref ref-type="bibr" rid="B68">Fern&#xe1;ndez-Remolar and Knoll, 2008</xref>).</p>
<p>Because macrobiological features can be large (cm to km) and distinct from the surrounding abiotic environment, the ability to remotely detect (via orbiters or drones) their presence based on certain characteristics has been demonstrated at many locations on Earth, including Mars analog sites. For example, microbial mats can also be remotely sensed based on spectral characteristics. In the Fryxell Basin of the McMurdo Dry Valleys, high-resolution orbital imagers have used unique infrared spectral signatures to detect local microbial mat communities (mainly filamentous cyanobacteria) and to analyze their spatial and temporal variability (<xref ref-type="bibr" rid="B182">Salvatore et al., 2020</xref>). Analyses of microbial mat coverage from orbital remote sensing can be paired with field data to estimate biomass and carbon stocks of these microbial communities with high accuracy (<xref ref-type="bibr" rid="B169">Power et al., 2020</xref>; <xref ref-type="bibr" rid="B181">Salvatore et al., 2021</xref>). Similarly, Warren-Rhodes and others (2007) demonstrated that chlorophyll pigment biosignatures in the Atacama Desert could be detected via VNIR spectra from satellite imagery, as could environments previously identified to hold high potential for hosting microbial life (such as alluvial fans and deltas).</p>
<p>Stromatolites also can be remotely sensed based on their morphology. The biogenicity of stromatolites, however, is difficult to confirm and relying on the morphology as the sole means of detection has a high likelihood of leading to a false positive (<xref ref-type="bibr" rid="B142">McMahon and Cosmidis, 2021</xref>). A combination of microtextural and geochemical data and optical microscopy will likely be necessary to confirm stromatolite biogenicity (<xref ref-type="bibr" rid="B81">Goodwin and Papineau, 2022</xref>) and will require the use of rover cameras and sampling assays on Mars (<xref ref-type="bibr" rid="B142">McMahon and Cosmidis, 2021</xref>).</p>
<p>While terrestrial satellites can detect these macrobiological features remotely, the ability to detect similar features on Mars will depend on instrument capabilities and require an interpretive framework informed by terrestrial biology. Comparing the expected achievable spatial resolution of several key Mars instruments to the spatial extent of macrobiological features at each analog reveals that most features are unlikely to be resolved from orbit and would require rover instruments for detection (<xref ref-type="fig" rid="F6">Figure 6</xref>). <xref ref-type="fig" rid="F6">Figure 6</xref> depicts the maximum spatial extent of macrobiological features, many of which are patchy in distribution and vary seasonally and interannually. Additionally, the spatial extent represents the maximum extent in one dimension and does not take total area into account. Remotely resolving features like the biofilms in meltwater streaks at HIC, which are long (up to 1&#xa0;km) but narrow (several m) will likely require sub-meter pixel sampling, as elongated features require higher spatial resolution to be accurately extracted (<xref ref-type="bibr" rid="B124">Lechner et al., 2009</xref>). These terrestrial analogs provide an opportunity to identify spatial thresholds (i.e., minimum extent) for remote detectability of macrobiological features. Future work should examine how biological and physical characteristics of these features, such as color, pigment concentrations, thickness, percent cover, activity, etc., impact detectability.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Spatial extent of macrobiological features at each analog site compared to the spatial resolution of imaging instrumentation on the <italic>Curiosity</italic> rover in Gale crater, the <italic>Perseverance</italic> rover in Jezero crater, and global data sets from the Mars Reconnaissance Orbiter and Mars Odyssey Orbiter. Rover-scale instrumentation would be required to spatially resolve the majority of macrobiological features at analog sites. See <xref ref-type="sec" rid="s9">Supplementary Tables S1, S4</xref> for details on Mars instruments and analog macrobiological features, respectively.</p>
</caption>
<graphic xlink:href="fspas-09-849078-g006.tif"/>
</fig>
<p>Because direct visual detection of active macrobiological features on Mars is unlikely, more research into understanding if characteristics of preserved microbial communities at these analog sites can be remotely sensed and how duration of preservation impacts observability, is critical. Remote sensing data spanning sub-cm to km spatial scales are necessary to determine what characteristics of modern and/or preserved microbial communities at terrestrial analogs can be detected. Environments where the presence and concentration of biological material has high spatial variability, such as Atacama Salars (<xref ref-type="bibr" rid="B150">Navarro-Gonz&#xe1;lez et al., 2003</xref>; <xref ref-type="bibr" rid="B38">Connon et al., 2007</xref>; <xref ref-type="bibr" rid="B40">Crits-Christoph et al., 2013</xref>), McMurdo Dry Valleys (<xref ref-type="bibr" rid="B169">Power et al., 2020</xref>), and Haughton Impact Crater (<xref ref-type="bibr" rid="B34">Clarke et al., 2019</xref>), present a unique opportunity to develop and test methods for remotely mapping biosignatures (both their presence and spatial extent) at various spatial scales. Advancing the ability to remotely detect regions likely to harbor preserved biomarkers or characterize the spatial extent of ancient macrobiological features at terrestrial analog sites would be invaluable for informing landing site and sample selection on Mars (<xref ref-type="bibr" rid="B23">Bosak et al., 2021</xref>).</p>
</sec>
<sec id="s3-4-2">
<title>3.4.2 Spectroscopic Characterization of Mineralogy</title>
<p>Mineralogical information on Mars helps to constrain past formation environments and is a significant consideration in landing site selection (<xref ref-type="bibr" rid="B78">Golombek et al., 2012</xref>; <xref ref-type="bibr" rid="B84">Grant et al., 2011</xref>, <xref ref-type="bibr" rid="B85">2018</xref>) and identification of rover targets (e.g., <xref ref-type="bibr" rid="B74">Fraeman et al., 2020</xref>). Mapping the surface mineralogy of Mars is accomplished via remote sensing at satellite- and rover-scales (e.g., <xref ref-type="bibr" rid="B18">Bibring et al., 2006</xref>; <xref ref-type="bibr" rid="B53">Ehlmann and Edwards, 2014</xref>; <xref ref-type="bibr" rid="B106">Johnson et al., 2015</xref>). In order to identify minerals and formation environments with higher biopreservation potential, characteristic spectral features are identified, and interpretation is informed by knowledge of mineralogy and biopreservation on Earth (see <xref ref-type="bibr" rid="B23">Bosak et al., 2021</xref> and refs within). To optimize the environmental interpretation of remote spectral data, analog sites with well-characterized extant microbial communities and/or preserved biomarkers should be spectrally mapped at various scales with instruments similar to those on Mars (e.g. <xref ref-type="bibr" rid="B70">Flahaut et al., 2017</xref>).</p>
<p>Mineral formation environments on Earth are well-characterized and compiled into large libraries of mineral spectra (e.g., <xref ref-type="bibr" rid="B115">Kokaly et al., 2017</xref>). We compare visible and near infrared (VNIR) spectral characterizations of major mineral groups at each analog site with documented spectral coverage of select instrumentation on Mars (<xref ref-type="fig" rid="F7">Figure 7</xref>). The wavelength range of Mars instruments encompasses all absorption features of the minerals at the analog sites. Several mineral groups have not yet been spectrally characterized <italic>in situ</italic> at analog sites, in some cases due to the challenges inherent to field-based spectral analysis [e.g., oxides at HIC appear transparent in the IR (<xref ref-type="bibr" rid="B87">Greenberger et al., 2020</xref>)]. MDV sediment samples from Lake Hoare were collected in the field and later analyzed with lab based VNIR spectroscopy (<xref ref-type="bibr" rid="B19">Bishop et al., 2014</xref>). While ancient biomarkers have not been detected in all mineral groups, several groups, including oxides and volcanics at ATC, hydrated silicas and carbonates at BON, and hydrated silicas at RIO, are known to host preserved biomarkers. It is critical to determine how mineral composition impacts biosignature preservation (<xref ref-type="bibr" rid="B23">Bosak et al., 2021</xref>), and <italic>in situ,</italic> field-based efforts are needed to characterize minerals that host preserved biomarkers based on their physical and optical properties, chemical composition, and crystal structure. If any characteristics indicative of high preservation potential can be remotely sensed, this finding could aid identification of targets on Mars.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Characteristic spectral features (wavelength in um) of dominant mineral groups at terrestrial analogs measured with VNIR reflectance spectroscopy compared to the wavelength coverage of Mars-based passive imagers. Preserved lipid biomarkers have been detected in mineral groups with bolded names. Mineral spectra for the McMurdo Dry Valleys were analyzed in a laboratory (<xref ref-type="bibr" rid="B19">Bishop et al., 2014</xref>), spectra for all other analogs were determined remotely. <xref ref-type="sec" rid="s9">Supplementary Tables S1,S3,S5</xref> catalog relevant details on Mars instruments, lipid biomarkers, and mineral spectra, respectively.</p>
</caption>
<graphic xlink:href="fspas-09-849078-g007.tif"/>
</fig>
<p>Initial efforts to characterize mineralogy using field-based spectroscopy at rover-scales have been made at several analog sites (e.g., RIO: <xref ref-type="bibr" rid="B179">Roach et al., 2006</xref>; <xref ref-type="bibr" rid="B191">Sobron et al., 2014</xref>; ATC: <xref ref-type="bibr" rid="B70">Flahaut et al., 2017</xref>; <xref ref-type="bibr" rid="B211">Wang et al., 2018</xref>; HIC: <xref ref-type="bibr" rid="B87">Greenberger et al., 2020</xref>). In one study in Antarctica, mineralogy identified via remotely collected spectral data was calibrated with laboratory analyses, to allow more accurate determinations of mineral variations over an entire valley (&#x223c;20&#xa0;km<sup>2</sup>) (<xref ref-type="bibr" rid="B183">Salvatore et al., 2014</xref>). The number of studies that couple mineralogical data across spatial scales remain limited, however. Given the dependence of Mars exploration on remote mapping of minerals to determine targets of biological interest, analog studies that couple biological and geological measurements across spatial scales (kilometer to sub-centimeter) (e.g., <xref ref-type="bibr" rid="B213">Warren-Rhodes et al., 2007</xref>; <xref ref-type="bibr" rid="B169">Power et al., 2020</xref>; <xref ref-type="bibr" rid="B182">Salvatore et al., 2020</xref>, <xref ref-type="bibr" rid="B181">2021</xref>) are a priority.</p>
<p>In addition to passive sensing and VNIR spectra, Mars rovers have several active mineral characterization methods. Raman spectroscopy has been shown to be highly complementary with reflectance spectroscopy for target characterization (<xref ref-type="bibr" rid="B35">Cloutis et al., 2021</xref>), and Raman and XRD (e.g., <xref ref-type="bibr" rid="B191">Sobron et al., 2014</xref>; <xref ref-type="bibr" rid="B70">Flahaut et al., 2017</xref>), and X-ray fluorescence (e.g., <xref ref-type="bibr" rid="B87">Greenberger et al., 2020</xref>) have been applied to analog sites to calibrate and validate remote measurements of mineral compositions. These efforts are limited to smaller, rover-scale analyses and would be aided by remote observations at larger scales.</p>
</sec>
</sec>
</sec>
<sec id="s4">
<title>4 Conclusion and Future Priorities</title>
<p>In this review, we assessed the environmental conditions, geochemistry, microbial communities, and mineralogy of five terrestrial analogs that can inform biosignature preservation potential in different early Mars environments. We find that the polar desert analogs (HIC and BON), characterized by cold, neutral water with moderate salinity (&#x3c;50&#xa0;ppt) and a wide range of redox potentials, are most similar geochemically (and in terms of basin morphology and hydrology) to the Late Noachian to Early Hesperian Martian environment characterized at Gale crater (<xref ref-type="bibr" rid="B75">Fukushi et al., 2019</xref>). All analogs host polyextremophilic microbes that form microbial mats or biofilms, and these macrobiological features vary in spatial and temporal extent. At their maximum extent, these features would likely be unresolvable with satellite-scale observations (i.e., Mars Reconnaissance Orbiter and Mars Odyssey Orbiter) and would require rover-scale instrumentation for detection. The spatial threshold for remote detectability will vary based on the features morphology (i.e., percent cover, color, thickness) and season (i.e., perennial biofilms at RIO vs. biofilms in ephemeral melt-water streams at HIC and BON) and remains unconstrained due to the lack of studies that bridge rover- and orbital- spatial scales.</p>
<p>A thorough understanding of biosignature formation, preservation, and interpretation on Earth (<xref ref-type="bibr" rid="B23">Bosak et al., 2021</xref>) will increase the likelihood of detecting biosignatures (<xref ref-type="bibr" rid="B152">Neveu et al., 2018</xref>) and prevent false positives (<xref ref-type="bibr" rid="B142">McMahon and Cosmidis, 2021</xref>). While a variety of organic biomarkers have been detected at all analog sites, the influence of mineralogy and climate on preservation potential is complicated and remains unclear. These analog sites provide an excellent opportunity to better understand the chemistry of biomarker preservation within mineral matrices, especially over longer timescales (&#x3e;10<sup>6</sup> years), and such research will provide insight into how diagenetic processes could potentially alter biosignatures in paleolake environments on Mars. This work would be especially useful if permits methods to be developed for remotely detecting minerals with high biomarker preservation potential.</p>
<p>Rover-scale instrumentation currently provides the best chance for <italic>in situ</italic> detection of biosignatures on Mars. Current (<italic>Curiosity</italic> and <italic>Perseverance</italic>) and proposed rover missions (<italic>Rosalind Franklin</italic>) will continue to improve and refine the search for biosignature detection on Mars (i.e., <xref ref-type="bibr" rid="B138">Mart&#xed;n-Torres et al., 2015</xref>; <xref ref-type="bibr" rid="B109">Kereszturi et al., 2016</xref>; <xref ref-type="bibr" rid="B41">Cuadros et al., 2022</xref>). Orbiter-scale data is used to determine rover site selection (e.g., <xref ref-type="bibr" rid="B85">Grant et al., 2018</xref>), however, and data products at all available spatial scales are coupled to characterize Martian environments. Despite the existence of rover- and orbiter-scale data at the terrestrial analogs reviewed here, few studies explicitly couple data products from these scales, and even fewer correlate these data to assess how remote sensing can be used to detect patterns of habitability (past or present) (e.g., soil wetness, pigment concentrations, organic carbon stocks, etc.). Concerted efforts to couple rover-scale environmental measurements with remotely sensed data in the Atacama and the McMurdo Dry Valleys (e.g. <xref ref-type="bibr" rid="B213">Warren-Rhodes et al., 2007</xref> and <xref ref-type="bibr" rid="B169">Power et al., 2020</xref>, <xref ref-type="bibr" rid="B182">Salvatore et al., 2020</xref>, <xref ref-type="bibr" rid="B181">2021</xref>, respectively), demonstrate the value of integrating data products from disparate spatial scales.</p>
<p>In order to best inform interpretation of Mars satellite and rover imagery, analog studies should correlate multi-scale remote sensing assessments of broad-scale mineralogy and pigment concentrations with other rover-scale, <italic>in situ</italic> observations of local geochemistry, extant microbial communities, and preserved biomarkers. The five analogs reviewed here provide an ideal range of environmental conditions in which to generate these multi-scale datasets. This research will help determine how biosignature preservation varies with mineralogy and environmental conditions, and at what scale these indicators can be remotely detected. The interpretive framework that will result from this work will be critical to the search for life in evaporative Martian basins (and other terrestrial bodies).</p>
</sec>
</body>
<back>
<sec id="s5">
<title>Author Contributions</title>
<p>MP and WL conceived of the initial review topic and lead discussions, all authors performed data collection, analysis and initial figure generation, CH, MM and MP wrote the paper, CH and MM made all final figures and tables and MP and WL commented on and edited the manuscript.</p>
</sec>
<sec id="s6">
<title>Funding</title>
<p>Funding for students was provided by: NASA NH Space Grant; NASA-SSW-80NSSC19K0539 (MP); NASA-MDAP-80NSSC21K1097 (MP); NASA 20-EXO20-0022 (WL); NSF-EAR 1928309 (WL); and the Simons Foundation Project &#x23;623881 (WL).</p>
</sec>
<sec sec-type="COI-statement" id="s7">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s8">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s9">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fspas.2022.849078/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fspas.2022.849078/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.XLSX" id="SM1" mimetype="application/XLSX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="DataSheet1.docx" id="SM2" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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