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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Ecol. Evol.</journal-id>
<journal-title>Frontiers in Ecology and Evolution</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Ecol. Evol.</abbrev-journal-title>
<issn pub-type="epub">2296-701X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fevo.2016.00084</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Environmental Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The Abundance, Diversity, and Metabolic Footprint of Soil Nematodes Is Highest in High Elevation Alpine Grasslands</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Kergunteuil</surname> <given-names>Alan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/320186/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Campos-Herrera</surname> <given-names>Raquel</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/75402/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>S&#x000E1;nchez-Moreno</surname> <given-names>Sara</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/241466/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Vittoz</surname> <given-names>Pascal</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/360809/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Rasmann</surname> <given-names>Sergio</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/58666/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Functional Ecology laboratory, Institute of Biology, University of Neuch&#x000E2;tel</institution> <country>Neuch&#x000E2;tel, Switzerland</country></aff>
<aff id="aff2"><sup>2</sup><institution>Centro Para os Recursos Biol&#x000F3;gicos e Alimentos Mediterr&#x000E2;nicos (MeditBio), Faculdade de Ci&#x000EA;ncias e Tecnologia, Universidade do Algarve</institution> <country>Faro, Portugal</country></aff>
<aff id="aff3"><sup>3</sup><institution>Plant Protection Products Unit (DTEVPF), National Institute for Agricultural and Food Research and Technology</institution> <country>Madrid, Spain</country></aff>
<aff id="aff4"><sup>4</sup><institution>Institute of Earth Surface Dynamics, University of Lausanne</institution> <country>Lausanne, Switzerland</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Ivan Hiltpold, Western Sydney University, Australia</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Jared Gregory Ali, Cornell University, USA; Luis Sampedro, Spanish National Research Council, Spain</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Alan Kergunteuil <email>alan.kergunteuil&#x00040;unine.ch</email></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Agroecology and Land Use Systems, a section of the journal Frontiers in Ecology and Evolution</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>07</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection">
<year>2016</year>
</pub-date>
<volume>4</volume>
<elocation-id>84</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>05</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>07</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2016 Kergunteuil, Campos-Herrera, S&#x000E1;nchez-Moreno, Vittoz and Rasmann.</copyright-statement>
<copyright-year>2016</copyright-year>
<copyright-holder>Kergunteuil, Campos-Herrera, S&#x000E1;nchez-Moreno, Vittoz and Rasmann</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) or licensor 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>Nematodes are key components of soil biodiversity and represent valuable bio-indicators of soil food webs. Numerous community indices have been developed in order to track variations in nematode-mediate soil ecosystem processes, but their use is mainly restricted to anthropogenic stresses. In this study, we propose to expand the use of nematodes&#x00027; derived ecological indices in order to shed light on variations of soil food webs in natural systems distributed along elevation gradients. For this purpose, we aimed at determining how elevation affects the community structure and the trophic diversity by studying the abundance, the composition and the functional diversity of nematode communities. Nematode communities were sampled every 200 m across five transects that span about 2000 m in elevation in the Alps. To understand the underlying ecological parameters driving these patterns we studied both abiotic factors (soil properties) and biotic factors (trophic links, relationships with plant diversity). We found that (1) nematode abundance increases with elevation of lowland forests and alpine meadows; (2) differences in nematodes communities rely on habitat-specific functional diversity (e.g., tolerance to harsh environments, &#x0201C;colonizer/persister&#x0201D; status) while most trophic groups are ubiquitous; and (3) the metabolic footprint of the complete nematode community increases with elevation. We thus conclude that the contribution of soil dwelling nematodes to belowground ecosystem processes, including carbon and energy flow, is stronger at high elevation. The resulting cascading effects on the soil food web structure are discussed from an ecosystem functioning perspective. Overall, this study highlights the importance of nematodes in soil ecosystems and brings insights on their functional role along ecological gradients.</p>
</abstract>
<kwd-group>
<kwd>elevation gradient</kwd>
<kwd>entomopathogenic nematodes</kwd>
<kwd>nematophagous fungi</kwd>
<kwd>plant-herbivore interaction</kwd>
<kwd>soil ecosystem functioning</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="77"/>
<page-count count="12"/>
<word-count count="8627"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>It has been estimated that under the earth&#x00027;s surface, the myriad of soil habitats shelter about 25% of the worldwide described species, thus providing crucial reservoirs of biodiversity and subsequent ecosystem functioning (Fitter et al., <xref ref-type="bibr" rid="B24">2005</xref>; Deca&#x000EB;ns, <xref ref-type="bibr" rid="B17">2010</xref>; Bardgett and van der Putten, <xref ref-type="bibr" rid="B3">2014</xref>). While research on soil biota continues to bear inherent challenges, the combination of traditional research with genomic tools has accelerated the exploration of soil diversity and our understanding of ecosystem dynamics (Johnson et al., <xref ref-type="bibr" rid="B32">2007</xref>). In addition, numerous studies have become increasingly focused on replacing soil diversity within trophic interactions for unraveling soil ecosystem processes (Bardgett and van der Putten, <xref ref-type="bibr" rid="B3">2014</xref>). Indeed, soil fauna is essential for ecosystem functioning through different processes, such as primary production and nutrient cycling of carbon, phosphorous, or nitrogen (Brussaard, <xref ref-type="bibr" rid="B11">1997</xref>). The role of soil functional diversity in the decomposition of organic matter and, more importantly, in the assimilation of carbon in food webs, governs energy flows worldwide (Hunt and Wall, <xref ref-type="bibr" rid="B30">2002</xref>; Krumins et al., <xref ref-type="bibr" rid="B37">2013</xref>).</p>
<p>Several groups of soil-dwelling organisms (e.g., bacteria, fungi, protists, collembolan, enchytraeid worms or earthworms) can partition their task in order to optimize trophic interactions and energy flow. In addition, among soil inhabitants, the group of roundworms (i.e., nematodes; phylum Nematoda) is a key component of the belowground living mosaic. Indeed, nematodes, with more than 14,000 described species, are distributed in almost every habitat on Earth, and represent more than 80% of metazoan taxonomic and functional diversity in soils (Bongers and Bongers, <xref ref-type="bibr" rid="B8">1998</xref>; Hodda et al., <xref ref-type="bibr" rid="B34">2009</xref>). Nematodes can be assigned to basically all functional trophic guilds, and span the whole gamut of ecological adaptations, ranging from &#x0201C;colonizer&#x0201D; (r strategists) to &#x0201C;persister&#x0201D; (K strategists) along a colonizer-persister (&#x0201C;cp&#x0201D;) scale (Bongers, <xref ref-type="bibr" rid="B7">1990</xref>). Besides the diversity in life history traits, nematodes sustain a large range of trophic groups and eight feeding types have been described: herbivore, fungivore, bacterivore, substrate ingester, predator of animals, unicellular eukaryote feeder, parasites, and omnivore (Yeates et al., <xref ref-type="bibr" rid="B74">1993</xref>). The combination of both cp groups and feeding habits provides a wide diversity of functional guilds. In addition, nematodes occupy a central position in soil food-webs by linking microbial communities with macrofauna. Hence, nematodes are widely used as appropriate bioindicators to track changes in the environment and the resulting cascading effects on soil food-web structure (Sochov&#x000E1; et al., <xref ref-type="bibr" rid="B60">2006</xref>; Wilson and Kakouli-Duarte, <xref ref-type="bibr" rid="B71">2009</xref>). Several community and metabolic footprints indices have been developed in order to assess how nematode communities affect (or are affected by) soil quality (Bongers and Ferris, <xref ref-type="bibr" rid="B9">1999</xref>; Ferris et al., <xref ref-type="bibr" rid="B23">2001</xref>; Ferris, <xref ref-type="bibr" rid="B22">2010</xref>), although such studies remain mostly restricted to anthropogenic systems (Salam&#x000FA;n et al., <xref ref-type="bibr" rid="B58">2014</xref>; Zhao et al., <xref ref-type="bibr" rid="B77">2015</xref>). Here, we propose to expand the use of nematodes&#x00027; derived ecological indices for increasing our understanding soil-driven ecosystem functioning along natural ecological gradients.</p>
<p>Studying the causes and consequences of species abundance and distribution along environmental clines remains crucial for providing insights into community assembly and ecosystem functioning (Gaston, <xref ref-type="bibr" rid="B25">2000</xref>; Doherty et al., <xref ref-type="bibr" rid="B20">2011</xref>; Oliver et al., <xref ref-type="bibr" rid="B47">2015</xref>). In this context, ecological gradients act as potent environmental filters and thus provide powerful tools for dissecting biotic and abiotic factors driving species diversity and ecosystem dynamics. For instance, elevation gradients have been classically used to develop key ecological concepts such as the niche theory or the species-energy hypothesis (Grinell, <xref ref-type="bibr" rid="B26">1917</xref>; Brown, <xref ref-type="bibr" rid="B10">1971</xref>; Lomolino, <xref ref-type="bibr" rid="B40">2001</xref>). More recently, various authors have considered elevation gradients as promising &#x0201C;natural experiments&#x0201D; to test evolutionary hypotheses in species niche-breadth or predict plant adaptation to changing environment (K&#x000F6;rner, <xref ref-type="bibr" rid="B36">2007</xref>; Alexander et al., <xref ref-type="bibr" rid="B1">2015</xref>; Rasmann and Pellissier, <xref ref-type="bibr" rid="B54">2015</xref>). Indeed, mountain slopes present strong variation in both biotic and abiotic factors that can to alter ecological niches, abundance in species population, or community assemblage (Hodkinson, <xref ref-type="bibr" rid="B28">2005</xref>). In addition, biotic variations occur over short distances, thereby limiting the confounding effect of phylogeography when studying inter-specific interactions from a comparative ecology approach (Rasmann et al., <xref ref-type="bibr" rid="B53">2014</xref>). While, numerous studies have demonstrated the ability of nematodes to colonize the harshest environments, such as the polar regions (Loof, <xref ref-type="bibr" rid="B41">1971</xref>; Yeates, <xref ref-type="bibr" rid="B73">2010</xref>), only few studies have been interested in studying their distribution along elevation, and to our knowledge, none of them have assessed changes in nematode communities along continuous elevation gradients (Hoschitz and Kaufmann, <xref ref-type="bibr" rid="B29">2004</xref>).</p>
<p>With the present work, we aimed at unraveling the community ecology of soil-dwelling nematodes along steep elevation gradients, from the colline regions up to the Alpine grasslands. Specifically, we hypothesized: (1) a decrease in nematode abundance at high elevation following classic views on biodiversity gradients (McCain and Grytnes, <xref ref-type="bibr" rid="B42">2010</xref>); (2) changes in the nematode communities&#x00027; structures according to variations of ecological niches along the gradient; and (3) changes in the nematode-mediated metabolic footprint indices along the elevation gradient of the Alps.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and methods</title>
<sec>
<title>Study site</title>
<p>To dissect nematode food web structure along elevation gradients, between July and August 2013, we sampled soils ranging from 700 m above sea level (asl) up to 2700 m asl across five transects in the Swiss Alps (Figure <xref ref-type="supplementary-material" rid="SM4">S1</xref>). The five transects were collected over 130 km in order to assess variations in nematode communities over a large scale in Alpine systems. Along each elevational transect, sampling sites of 2 &#x000D7; 2 m were chosen approximately separated from each other by an elevation of 200 m asl (<italic>n</italic> &#x0003D; 48 sites, Table <xref ref-type="supplementary-material" rid="SM1">S1</xref>). As we aimed to measure soil diversity in the most pristine conditions, we sampled within the climacic vegetation at each site (Delarze et al., <xref ref-type="bibr" rid="B18">2015</xref>). In lowlands, soil samples were predominantly collected within <italic>Fagus sylvatica, Quercus</italic> spp., or <italic>Castanea sativa</italic> dominated forests. Sites in the mountain and the subalpine belts were mainly collected in <italic>F. sylvatica, Pinus sylvestris, Abies alba</italic>, or <italic>Picea abies</italic> dominated forests, while sampling in the alpine zone was done in Alpine grasslands found above the timberline (Figure <xref ref-type="supplementary-material" rid="SM4">S1</xref>, Table <xref ref-type="supplementary-material" rid="SM1">S1</xref>). All along the elevation gradient we avoided cultivated, urban, or heavily grazed areas and selected sites with a similar exposition and slope for a same transect.</p>
<p>Sampling sites of three transects out of the five (i.e., 28 sites along the Mont d&#x00027;Or, Salgesch, and Vallon de Nant transects, Table <xref ref-type="supplementary-material" rid="SM1">S1</xref>) were selected according to the study conducted by Pellissier et al. (<xref ref-type="bibr" rid="B51">2010</xref>), who described plant communities (abundance of plant taxa based on Braun-Blanquet categories) within a 40 m<sup>2</sup> (grasslands) or 250 m<sup>2</sup> (forests) quadrat at each site (Vittoz and Guisan, <xref ref-type="bibr" rid="B68">2007</xref>). Hence, over three transects, each site was also described with the corresponding plant species list and plant cover estimation for each species. This allowed testing for potential spatial correlations between nematode species and the local flora (see below).</p>
</sec>
<sec>
<title>Soil and nematode sampling</title>
<p>At each site, we randomly collected 10&#x02013;30 soil cores of 5 cm diameter within a 2 &#x000D7; 2 m area and with a maximal depth of 30 cm till we reached a total of 1.5 Kg of soil after the removal of all rock particles bigger than 2 cm in diameter. The bulk soil was homogenized before dividing it into several subsamples.</p>
<p>Initially, 300 g of the bulk soil were used for measuring soil traits (soil humidity, pH, conductivity and root fraction, i.e., percent root biomass). For soil humidity, we calculated the difference between soil fresh weight and soil dry weight after 7 days at 70&#x000B0;C. Both pH and conductivity were measured using a 914 pH/Conductometer (Metrohn, Herisau, Switzerland) after mixing 50 g of this subsample with 100 ml of deionized water. Finally, under the microscope, we visually separated all discernible root fragments from the other soil components and weighed them to obtain the proportion in percent of root biomass, calculated as the ratio of root biomass on total soil mass.</p>
<p>Next, out of the initial soil bulk, a sub-sample of 200 g of fresh soil was used for extracting soil nematodes: bacterivores, fungivores, herbivores, predators, and omnivores. For this purpose, we used the sieving and Baermann funnel method (Barker, <xref ref-type="bibr" rid="B4">1985</xref>). All free-living nematodes in each sample were then counted under the dissecting microscope and mounted into a slide. At least 100 nematodes in each sample were then identified under a dissecting microscope to family or genus level, and assigned to a functional guild based on their trophic group and life-histories (Yeates et al., <xref ref-type="bibr" rid="B74">1993</xref>).</p>
<p>Finally, in order to improve the description of nematode communities, we also performed targeted genomic approach on 200 additional grams of fresh soil to identify entomopathogenic nematodes (EPNs; i.e., nematodes parasites of invertebrates that are only free-living in the soil as the third instar infective juvenile state), and nematophagous fungi (NF) which are important in shaping nematode communities but remain virtually impossible to distinguish under a dissecting microscope. Using species-specific primers/probe and quantitative real time PCR procedures, we screened 13 EPNs species and 6 NF according to well-established methods (Atkins et al., <xref ref-type="bibr" rid="B2">2005</xref>; Zhang et al., <xref ref-type="bibr" rid="B75">2006</xref>; Torr et al., <xref ref-type="bibr" rid="B66">2007</xref>; Campos-Herrera et al., <xref ref-type="bibr" rid="B13">2011a</xref>,<xref ref-type="bibr" rid="B15">b</xref>, <xref ref-type="bibr" rid="B12">2012</xref>, <xref ref-type="bibr" rid="B14">2015</xref>; Pathak et al., <xref ref-type="bibr" rid="B49">2012</xref>; Table <xref ref-type="supplementary-material" rid="SM2">S2</xref>). The procedures for the establishment of the pure cultures of the organisms used as positive controls, and the protocols followed for the DNA extraction and the standard curves design were performed following Campos-Herrera et al. (<xref ref-type="bibr" rid="B14">2015</xref>). Briefly, EPNs and NF were collected using the sucrose extraction method (Jenkins, <xref ref-type="bibr" rid="B31">1964</xref>), recovering the nematodes in a sieve of 25 &#x003BC;m mesh. The DNA from both the known quantities of the target organisms and the field samples were extracted by Power Soil&#x000AE; DNA Isolation Kit (MoBio laboratories, Inc., protocol for maximum yield, see Campos-Herrera et al., <xref ref-type="bibr" rid="B14">2015</xref>). Details of the concentration and protocols for all the target species were described by Campos-Herrera et al. (<xref ref-type="bibr" rid="B14">2015</xref>). We employed a 10-fold dilution for the enumeration of nematodes in the qPCR reactions, whereas, for NF used the total DNA with no dilution. All the organisms quantified by qPCR were expressed as per 100 g of dry soil. In addition, we estimated the NF relative biomass rate by dividing the NF DNA quantity of each species by the total amount of DNA (de Rooij-van der Goes et al., <xref ref-type="bibr" rid="B19">1995</xref>; Campos-Herrera et al., <xref ref-type="bibr" rid="B12">2012</xref>, <xref ref-type="bibr" rid="B14">2015</xref>; Duncan et al., <xref ref-type="bibr" rid="B21">2013</xref>).</p>
</sec>
<sec>
<title>Statistical analyses</title>
<p>All statistical analyses were performed with R software, version 3.2.2 (R Core Team, <xref ref-type="bibr" rid="B55">2015</xref>).</p>
<sec>
<title>Soil traits</title>
<p>The correlations between the four soil traits recorded (soil humidity, pH, conductivity, and root fraction) and the elevation were individually tested through Pearson&#x00027;s coefficient. Those relationships were plotted in Figure <xref ref-type="supplementary-material" rid="SM5">S2</xref> using either non-linear regressions (package &#x0201C;nls2&#x0201D;: Grothendieck, <xref ref-type="bibr" rid="B27">2013</xref>) or mixed linear regressions (package &#x0201C;lme4&#x0201D;: Bates et al., <xref ref-type="bibr" rid="B5">2015</xref>) with &#x0201C;elevation&#x0201D; as fixed factor and &#x0201C;transects&#x0201D; as random factor.</p>
</sec>
<sec>
<title>Abundance and species diversity of nematodes along elevation gradients</title>
<p>The total number of nematodes was expressed as number of individuals per 100 g of dry soil and the Simpson diversity index (D) was calculated as a measure of nematode diversity using the package &#x0201C;vegan&#x0201D; (Oksanen et al., <xref ref-type="bibr" rid="B46">2015</xref>). Mixed linear regressions (package &#x0201C;lme4&#x0201D;: Bates et al., <xref ref-type="bibr" rid="B5">2015</xref>) were used to analyze the total number of nematodes, the diversity of nematode communities and the infestation rate of nematophagous fungi along elevation gradients, using &#x0201C;elevation&#x0201D; as fixed factor and &#x0201C;transects&#x0201D; as random factor.</p>
</sec>
<sec>
<title>Nematode community structure along elevation gradients</title>
<p>In order to describe the structure of nematode communities (composition and abundance of nematode taxa) along elevation gradients, we performed a partial least square discriminant analysis, PLS-DA (package &#x0201C;mixOmics&#x0201D;; le Cao et al., <xref ref-type="bibr" rid="B39">2015</xref>). The PLS-DA is well suited for dealing with a large number of variables (47 taxa of nematodes) across a limited number of samples (43 sites). Before the analysis, a logarithmic transformation was applied to the data to improve the symmetric distribution of the variables and one outlier was removed from the original dataset based on the initial score plot. In order to plot a multivariate analysis appropriately interpretable, the final model retained was computed with the four soils traits measured and the 19 taxa capturing the most of the variations between nematode communities&#x00027; structures across elevation zones (i.e., the 19 taxa with a variable importance in the projection, VIP, superior to 1).</p>
</sec>
<sec>
<title>Association between nematode communities and plant communities</title>
<p>First, we constructed plant community structure along the three transects where floristic inventories were conducted by performing a second PLS-DA on the 100 plants with a VIP superior to 1 (results not shown; LV1 &#x0003D; 40%, LV2 &#x0003D; 38% of intergroup variance).</p>
<p>Second, we assessed the correlations between nematode distribution (presence and abundance) and local flora (presence and cover percentage based on Braun-Blanquet categories) across sites using two hierarchical clusterings (package &#x0201C;pvclust&#x0201D;: Suzuki and Shimodaira, <xref ref-type="bibr" rid="B61">2015</xref>; the 19 taxa of nematodes and the 100 plants with a VIP superior to 1 were retained). For both clustering, a dendrogram was created using the Ward agglomerative method applied on a distance matrix computed from correlation method. Bootstrap replications were set to 10,000 and stable clusters with a significant approximatively-unbiased (AU) <italic>p</italic>-value were highlighted (significance level 0.05). Significant correlations between nematode and plant taxa across these two dendrograms were indicated by different segments (Spearman&#x00027;s rank correlation test, &#x003B1; &#x0003D; 0.05; <italic>p</italic>-values adjusted by the Benjamini and Hochberg method: Benjamini and Hochberg, <xref ref-type="bibr" rid="B6">1995</xref>).</p>
</sec>
<sec>
<title>Variation in nematode trophic function along elevation gradients</title>
<p>In order to assess the functional role of nematode-based soil food webs along elevation gradients, we calculated several indices, which are based on the abundance of functional guilds of nematodes (Bongers and Bongers, <xref ref-type="bibr" rid="B8">1998</xref>; Ferris et al., <xref ref-type="bibr" rid="B23">2001</xref>; Table <xref ref-type="supplementary-material" rid="SM3">S3</xref>).</p>
<p>For this purpose, first, all identified nematodes were classified into the main five trophic habits (bacterial-feeders, fungal-feeders, plant-feeders, omnivores, and predators; Yeates et al., <xref ref-type="bibr" rid="B74">1993</xref>), and along the colonizer-persister (cp) scale (Bongers, <xref ref-type="bibr" rid="B7">1990</xref>). The colonizer-persister (cp) scale classifies nematode families into five groups (from 1 to 5) reflecting the life-history characteristics similarly to the r/K scale (Bongers and Bongers, <xref ref-type="bibr" rid="B8">1998</xref>). Nematodes belonging to the cp 1 group are fast-growing, bacterivore enrichment-opportunistic nematodes, which increase their population fast after soil enrichment processes; nematodes belonging to cp 2, cp 3, and cp 4 groups present progressively longer life cycles and are more sensitive to environmental perturbation. Nematodes in groups 4 and 5 are in general predators and omnivores, K-strategists, very sensitive to soil perturbation.</p>
<p>Next, we calculated five nematode-based ecological indicators: (1) the sigma-maturity index (&#x003A3;MI; Bongers, <xref ref-type="bibr" rid="B7">1990</xref>), (2) the maturity index (MI; Bongers, <xref ref-type="bibr" rid="B7">1990</xref>), and (3) and the plant-parasitic index (PPI; Bongers, <xref ref-type="bibr" rid="B7">1990</xref>). These first three indices represent the proportions of the different cp groups for the whole nematode community, the free-living nematodes, and the plant-parasitic nematodes, respectively. For all three, a higher value indicates that nematodes harboring &#x0201C;persiter&#x0201D; life history traits are predominant within each of those different nematode categories. (4) The enrichment index (EI; Ferris et al., <xref ref-type="bibr" rid="B23">2001</xref>) is based on the biomass of opportunistic nematodes that respond rapidly to the increase of bacterial and fungal populations that arise from organic matter decomposition. High values indicate high soil enrichment and high fertility. Finally, (5) the channel index (CI; Ferris et al., <xref ref-type="bibr" rid="B23">2001</xref>) is the ratio between the biomass of fungivore to bacterivore nematodes, and greater values indicate that fungal decomposition (the fungal &#x0201C;channel&#x0201D;) predominates over bacterial decomposition for a given site. For specific calculation of each index see equations provided in Supplementary Materials (Equations 1&#x02013;3).</p>
<p>In addition to the five nematode community indices described above, we also calculated the metabolic footprints (MF) according to the equation developed by Ferris (<xref ref-type="bibr" rid="B22">2010</xref>), and using the Nematode Joint Indicator Analysis tool (Sieriebriennikov et al., <xref ref-type="bibr" rid="B59">2014</xref>; <ext-link ext-link-type="uri" xlink:href="https://sieriebriennikov.shinyapps.io/ninja/">https://sieriebriennikov.shinyapps.io/ninja/</ext-link>; see the Equation 4 provided in Supplementary Materials). The MF balances the mass of carbon used by nematodes for both production (growth and egg production) and respiration (metabolism activities) components. MF can be computed either for specific functional trophic guilds or for the whole nematode community. In this later case, the so-called &#x0201C;composite MF&#x0201D; represents an indicator of the energy flow channeled by nematodes in general within soil food webs. High composite MF suggests that nematode assemblage store high amount of soil carbon (Ferris, <xref ref-type="bibr" rid="B22">2010</xref>).</p>
<p>The effect of elevation on all nematode community indices and MF was tested using mixed linear models (package &#x0201C;lme4&#x0201D;: Bates et al., <xref ref-type="bibr" rid="B5">2015</xref>) with &#x0201C;elevation&#x0201D; as fixed factor and &#x0201C;transect&#x0201D; as random factor.</p>
</sec>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Soil traits</title>
<p>Elevation was correlated with soil moisture (Figure <xref ref-type="supplementary-material" rid="SM5">S2A</xref>; <italic>r</italic> &#x0003D; 0.38; <italic>t</italic> &#x0003D; 2.75, <italic>df</italic> &#x0003D; 46, <italic>P</italic> &#x0003D; 0.008), conductivity (Figure <xref ref-type="supplementary-material" rid="SM5">S2B</xref>; <italic>r</italic> &#x0003D; &#x02212;0.44; <italic>t</italic> &#x0003D; &#x02212;3.37, <italic>df</italic> &#x0003D; 46, <italic>P</italic> &#x0003D; 0.002), root fraction (Figure <xref ref-type="supplementary-material" rid="SM5">S2D</xref>; <italic>r</italic> &#x0003D; 0.66; <italic>t</italic> &#x0003D; 5.99, <italic>df</italic> &#x0003D; 46, <italic>P</italic> &#x0003C; 0.001), while no correlation was observed for the pH (Figure <xref ref-type="supplementary-material" rid="SM5">S2C</xref>; <italic>r</italic> &#x0003D; &#x02212;0.09; <italic>t</italic> &#x0003D; &#x02212;0.64, <italic>df</italic> &#x0003D; 46, <italic>P</italic> &#x0003D; 0.526). Both the root fraction and the soil humidity increased along the altitudinal gradient: the root fraction was multiplied by 4 between locations sampled under 900 m and those sampled over 2000 m while the humidity ranged between 27 &#x000B1; 3 and 35 &#x000B1; 2% over these two elevation levels. On the contrary, soil conductivity sharply decreased with elevation from 1772 &#x000B1; 78 mS.m<sup>&#x02212;1</sup> under 900 m to 1478 &#x000B1; 35 mS.m<sup>&#x02212;1</sup> over 2000 m.</p>
</sec>
<sec>
<title>Abundance and species diversity of nematodes along elevation gradients</title>
<p>Overall, we extracted 34.752 nematodes from the 48 soil samples collected along the five transects. Nematodes were assigned to 44 genera or three additional families when the identification of the genus was uncertain. The total number of nematodes increased along elevation gradient (Figure <xref ref-type="fig" rid="F1">1A</xref>). Although the specific richness was not affected by elevation (LMM, &#x003C7;<sup>2</sup> &#x0003D; 0.61, <italic>df</italic> &#x0003D; 1, <italic>P</italic> &#x0003D; 0.44), the simpson index measured on nematode communities and taking into account taxa abundance was positively correlated with elevation (Figure <xref ref-type="fig" rid="F1">1B</xref>). Finally, the increase in both nematode numbers and biodiversity up along the mountain slope was coupled with an important drop in the relative biomass of nematophagous fungi (Figure <xref ref-type="fig" rid="F1">1C</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p><bold>Effect of elevation on (A) total number of nematodes, (B) nematode species diversity, and (C) infestation rate of nematophagous fungi</bold>. Shown are the sampling sites beloning to five mountain transects as shown in Figure <xref ref-type="supplementary-material" rid="SM4">S1</xref>. The dashed lines represent the predictions of the mixed linear models. <italic>r</italic><sup>2</sup>, coefficient of determination; &#x003B1;, regression slope; <italic>P</italic>, significance of the regression slope.</p></caption>
<graphic xlink:href="fevo-04-00084-g0001.tif"/>
</fig>
<p>Beyond the general increase in nematode population along mountain clines, all the trophic groups of nematodes also increased, except predators and parasites, i.e., entomopathogenic nematodes (Figure <xref ref-type="fig" rid="F2">2</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p><bold>Effect of elevation on the abundance of nematode&#x00027;s trophic group, (A) herbivores, (B) bacterivores, (C) omnivores, (D) fungivores, (E) predators, (F) parasites (i.e., entomopathogenic nematodes)</bold>. Shown are the sampling sites beloning to five mountain transects as shown in Figure <xref ref-type="supplementary-material" rid="SM4">S1</xref>. When the mixed linear model is significant, the dashed lines represent the predictions of the models. <italic>r</italic><sup>2</sup>, coefficient of determination; &#x003B1;, regression slope; <italic>P</italic>, significance of the regression slope.</p></caption>
<graphic xlink:href="fevo-04-00084-g0002.tif"/>
</fig>
</sec>
<sec>
<title>Nematode community structure along elevation gradients</title>
<p>The composition of nematode communities also differed along elevation gradients (Figure <xref ref-type="fig" rid="F3">3</xref>). The two axes of the PLS-DA retained for the projection explained 57 and 21% of the inter-group variance (Figure <xref ref-type="fig" rid="F3">3A</xref>). Over the two axes, we were able to discriminate clusters of nematode communities based on elevation zones. Particularly, communities observed between 1500 and 2000 m and those collected above 2000 m were clearly separated from each other (Figure <xref ref-type="fig" rid="F3">3A</xref>). As shown in Figure <xref ref-type="fig" rid="F3">3B</xref>, nematode communities at low elevations, i.e., under 1500 m, were mainly characterized by the presence of <italic>Tripyla, Alaimus, Wilsonema</italic> and <italic>Cervidellus</italic>. <italic>Tripyla</italic>, and <italic>Alaimus</italic> genera were scarcely present between 1500 and 2000 m and completely absent at higher elevations while <italic>Wilsonema</italic> and <italic>Cervidellus</italic> remained at high elevation but in a much lower abundances. The genera <italic>Aphelenchoides, Plectus, Prodorylaimus</italic>, and <italic>Mesodorylaimus</italic> mostly dominated the nematode communities between 1500 and 2000 m. <italic>Prodorylaimus</italic> and <italic>Mesodorylaimus</italic> were not present in soil originating from other elevational levels. Among soil traits, soil humidity was driving intermediate elevation communities. Over 2000 m, four nematode genera were found in high abundance; three of them (<italic>Eudorylaimus, Paratylenchus, Teratocephalus</italic>) were also recorded at lower elevations, although in lower abundance, while <italic>Pratylenchus</italic> was only collected over 2000 m. These high elevation communities were strongly associated with high root fractions in soils.</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p><bold>Nematode distribution along elevation gradients. (A)</bold> PLS-DA scores plot of the 43 sampling sites where nematodes were collected. Only the 19 nematode taxa with a VIP&#x0003E;1 are retained in the model. The first and the second axis explain 57 and 21% of the inter-group variance respectively. <bold>(B)</bold> Correlation disk representing the correlations of the two axis of the PLS-DA with each nematode taxon and the four soil traits: (1) pH, (2) conductivity, (3) humidity, and (4) root fraction.</p></caption>
<graphic xlink:href="fevo-04-00084-g0003.tif"/>
</fig>
</sec>
<sec>
<title>Association between nematode communities and plant communities</title>
<p>We next assessed the spatial correlations between nematode and plant communities along elevation gradients. First, the dendrogram based on the distance matrix analysis of plant communities inventoried across three transects indicated a strong clustering of plants according to three elevational levels (Figure <xref ref-type="fig" rid="F4">4</xref>). Plants characterizing low (i.e., under 1500 m) and intermediate elevations (i.e., between 1500 and 2000 m) were grouped in two single clusters, while plant communities sampled over 2000 m were split in four stable clusters. Second, the dendrogram based on nematodes communities showed a broader, less structured distribution in relation to elevation. Nevertheless, the eight taxa characterizing high and low nematode communities were separated in two single clusters of the dendrogram, while the four nematode&#x00027;s taxa specific to intermediate altitudes were more largely spread across the classification tree.</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p><bold>Hierarchical clustering and correlations between plant and nematode distribution</bold>. Clustering are performed with the 100 plants and the 19 taxa of nematodes with a VIP &#x0003E; 1 in the previous PLS-DAs (distances based on correlation method; agglomeration based on Ward&#x00027;s method). Stable clusters are highlighted (bootstrap replication: 10,000; approximatively-unbiased <italic>p</italic> &#x0003C; 0.05). Nematodes and plants characterizing elevation communities are colored according to the identification of their respective communities based on the previous PLS-DAs. Nematodes and plants not characteristic of elevation communities appear in gray.</p></caption>
<graphic xlink:href="fevo-04-00084-g0004.tif"/>
</fig>
<p>A total of 44 significant correlations between nematode and plant taxa were observed (Figure <xref ref-type="fig" rid="F4">4</xref>). These correlations were homogenously distributed across the different trophic groups of nematodes even if 3 herbivore genera, mainly due to <italic>Pratylenchus</italic>, accounted for almost half of these correlations. Indeed, this genus characterizing alpine communities was related to 15 plant species, most of them typical to high elevations. <italic>Prodorylaimus</italic>, an omnivore genera particularly abundant in soils collected at intermediate elevations was correlated to six rather uncommon plant species in our dataset belonging to mesotrophic to eutrophic plant communities. In the same elevation zone, <italic>Mesodorylaimus</italic> was surprisingly correlated with <italic>Cuscuta epithymum</italic>, a parasite plant species. Finally, two nematode taxa associated to low elevation communities, <italic>Tripyla</italic> and <italic>Cervidellus</italic>, were related with only one plant.</p>
</sec>
<sec>
<title>Variation in nematode trophic function along elevation gradients</title>
<p>We recorded an increase in the relative abundance of colonizer to persistent nematodes up along the transects, as showed by an increase of the sigma maturity index (&#x003A3;MI) with elevation ranging from 2.21 &#x000B1; 0.06 under 900 m, up to 2.43 &#x000B1; 0.07 for soils collected above 2000 m (Figure <xref ref-type="supplementary-material" rid="SM6">S3A</xref>). This elevation pattern relied mainly on an increase of the PPI at high elevation (Figure <xref ref-type="supplementary-material" rid="SM6">S3C</xref>), while elevation did not affect the MI (Figure <xref ref-type="supplementary-material" rid="SM6">S3B</xref>). These results indicate that more persistent nematodes are found at high elevation, mainly due to the high abundance of plant-parasitic nematodes.</p>
<p>As shown in Figures <xref ref-type="fig" rid="F5">5A,B</xref> the EI informing about the relative abundance of opportunistic nematodes was stable with elevation but the CI increased. This indicates greater relative biomass of fungivore nematodes at high elevation. The CI was multiplied by three to reach 38.11 &#x000B1; 11.06 in soils located over 2000 m compared to soils under 900 m. Finally, the composite MF clearly increased with elevation, indicating that the amount of carbon entering the soil food webs from nematode food sources is progressively higher at higher elevations (Figure <xref ref-type="fig" rid="F5">5C</xref>).</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p><bold>Effect of elevation on (A) opportunistic nematodes (enrichment index), (B) fungivore to bacterivore nematodes (channel index), and (C) carbon retained by nematodes in the soil food web (&#x003A3;metabolic footprint)</bold>. Shown are the sampling sites beloning to five mountain transects as shown in Figure <xref ref-type="supplementary-material" rid="SM4">S1</xref>. When the mixed linear model is significant, the dashed lines represent the predictions of the model. <italic>r</italic><sup>2</sup>, coefficient of determination; &#x003B1;, regression slope; <italic>P</italic>, significance of the regression slope.</p></caption>
<graphic xlink:href="fevo-04-00084-g0005.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The decrease in species diversity along elevation gradient is a common feature for aboveground ecosystems. On the contrary, our results indicate that nematode communities become more abundant and richer at high elevation within the range included in this study (700&#x02013;2700 m asl). In addition, a steady increase in the composite metabolic footprint (MF) of nematode communities along elevation gradient indicates that nematodes sustain greater part of the soil&#x00027;s energy flow at high elevation. Hence, this study brings novel insights on the role of soil fauna driving soil ecosystem functioning along elevation gradients.</p>
<sec>
<title>Abundance and species diversity of nematodes along elevation gradients</title>
<p>Species richness generally decreases with elevation for most of the organisms studied across a broad range of taxonomic groups, including soil fauna like mites (Chapin and K&#x000F6;rner, <xref ref-type="bibr" rid="B16">1995</xref>; Nagy et al., <xref ref-type="bibr" rid="B45">2003</xref>; Hodkinson, <xref ref-type="bibr" rid="B28">2005</xref>; McCain and Grytnes, <xref ref-type="bibr" rid="B42">2010</xref>; Vittoz et al., <xref ref-type="bibr" rid="B67">2010</xref>; Mumladze et al., <xref ref-type="bibr" rid="B44">2015</xref>). Therefore, opposite to general predictions, we observed that both nematode abundance and nematode diversity increases at high elevation (Figures <xref ref-type="fig" rid="F1">1A,B</xref>). Because our linear models showed no sign of attenuation, it even suggests that the altitudinal threshold after which nematode abundance should decline might be located above 2700 m. Nematodes occur in every ecosystem, often providing available organic carbon sources, and this study confirms their previously reported ability to colonize harsh environments such as Antarctic or high elevation biotopes (Yeates, <xref ref-type="bibr" rid="B73">2010</xref>). Nonetheless, in the Alps, above 3000 m (the alpine and nival stages), vegetation and organic soil layers becomes extremely rare, very inducing a reduction of nematode diversity.</p>
<p>Where vegetation is still relatively abundant (i.e., below 3000 m), different ecological factors can be proposed for understanding this elevation pattern in nematode distribution. Free water in the soil matrix is certainly one of the most important parameter controlling nematode activity and several authors have shown that water availability promotes nematode populations (e.g., Todd et al., <xref ref-type="bibr" rid="B65">1999</xref>; Landesman et al., <xref ref-type="bibr" rid="B38">2011</xref>). Hence, higher nematode abundance at mid- to high-elevation could be linked with the observed increase in soil moisture at high elevation (Figure <xref ref-type="fig" rid="F3">3</xref> and Figure <xref ref-type="supplementary-material" rid="SM5">S2</xref>), which is related higher rainfall frequency and amount at high elevation in the Alps (K&#x000F6;rner, <xref ref-type="bibr" rid="B35">2003</xref>). High elevation nematodes are also clearly associated with denser root systems, probably shaping soil micro-habitats that offer shelters against abiotic stresses and increase water retention for free-living nematodes. Additional biotic factors like top-down pathogen pressures over the nematode community are also probably involved, since high elevation soils bare lower amounts of nematophagous fungi (Figure <xref ref-type="fig" rid="F1">1C</xref>), thereby providing enemy-free zones for nematodes to thrive.</p>
<p>The elevation pattern observed for nematode distribution is in line with Hoschitz and Kaufmann (<xref ref-type="bibr" rid="B29">2004</xref>) who recorded relatively high densities of nematodes and diversity within nematode communities collected above 1950 m in the Austrian Alps and is in line with the hypothesis that nematodes might be predominant within high elevation mesofauna because they harbor better adaptations to extreme habitats than most of the other soil&#x02013;dwelling invertebrates (Procter, <xref ref-type="bibr" rid="B52">1990</xref>). In this context, the ecology of nematode taxa and the functional diversity within nematode communities is expected to vary along mountain clines (see Discussion below).</p>
</sec>
<sec>
<title>Nematode and plant communities along elevation gradients</title>
<p>As shown in Figure <xref ref-type="fig" rid="F3">3A</xref>, three different nematode communities can be distinguished across four elevational zones. In the alpine zone, i.e., over 2000 m, the composition of nematode communities is characterized by four taxa: <italic>Eudorylaimus, Teratocephalus, Pratylenchus</italic>, and <italic>Paratylenchus</italic> (Figure <xref ref-type="fig" rid="F3">3B</xref>). Numerous taxa of nematode have a worldwide distribution although some of them are more frequently found in specific habitats. <italic>Eudorylaimus</italic> and <italic>Teratocephalus</italic> have been previously found able to colonize arctic or high elevation soils due to their ability to cope with extreme cold temperature (Loof, <xref ref-type="bibr" rid="B41">1971</xref>; Ruess et al., <xref ref-type="bibr" rid="B57">1999</xref>; Hoschitz and Kaufmann, <xref ref-type="bibr" rid="B29">2004</xref>). <italic>Pratylenchus</italic>, an endoparasitic herbivore, might survive harsh conditions due to its life style within root tissues, which confers appropriate protection against unfavorable environmental conditions (Jones and Fosu-Nyarko, <xref ref-type="bibr" rid="B33">2014</xref>). Within the <italic>Paratylenchidae</italic> family, many infective juveniles form resistant stages to survive harsh conditions (Bongers, <xref ref-type="bibr" rid="B7">1990</xref>). Consequently, the establishment and winter survival of <italic>Paratylenchus</italic> at high elevation could be promoted by the highly resistant juvenile larvae, but this needs to be further studied.</p>
<p>Variation in the local flora might also explain variation in nematode community clustering along elevation gradients. Indeed, the hierarchical clustering based on nematode diversity shows that nematode taxa specific to high and low elevation are distributed within two single clusters whereas nematode genera characterizing intermediate communities are spread across the whole dendrogram (Figure <xref ref-type="fig" rid="F4">4</xref>). While the hierarchical clustering indicates that practically all trophic groups are ubiquitous across the different nematode communities at all elevations, the ecology of nematodes and the functional traits conferring adaptations to elevation niches might be consequently predominant in driving patterns of community spatial variation.</p>
<p>Along the same lines, we could highlight a strong clustering of plant diversity along elevation gradients. At low elevation, quite pristine environments are dominated by beech forests, an habitat where 75 nematode species have been previously inventoried in Denmark (Yeates, <xref ref-type="bibr" rid="B72">1972</xref>). Among nematode taxa characterizing the lowland communities, <italic>Tripyla</italic> is the most characteristic genus, mainly correlated with the dominant tree species, <italic>F. sylvatica</italic>. <italic>Cervidellus</italic> is counterintuitively correlated with the subalpine species <italic>Juniperus communis</italic>. This might be driven by the fact that <italic>Cervidellus</italic> is also present in the subalpine and alpine zones, although in a much lower amount compared to low elevation.</p>
<p>At intermediate elevation, two characteristic taxa of nematodes are correlated to several plant species that encompass a range of diverse habitats. First, <italic>Mesodorylaimus</italic> is surprisingly correlated with <italic>C. epithymum</italic>, a parasite plant species developing haustoria on the host stem. Both <italic>Mesodorylaimus</italic> and <italic>C. epithymum</italic> were collected in only one sample and we cannot exclude a biased correlation, probably indirectly driven by other, more suitable plants. Second, in the same elevation zone, <italic>Prodorylaimus</italic> is significantly correlated to six plant species that occur mainly in mesotrophic to eutrophic pastures: <italic>Plantago media, Crepis aurea, Potentilla erecta, Carum carvi, Hypericum maculatum</italic>, and <italic>Deschampsia cespitosa</italic>.</p>
<p>Finally, among the nematode taxa characterizing high elevation communities, the herbivore genus <italic>Pratylenchus</italic>, is correlated with 15 plant species mainly characterizing two plant communities: the high alpine calcareous grasslands with long snow cover, and the subalpine-alpine acidic grasslands or heathlands (transition between the upper subalpine forests and lower alpine grasslands). These numerous correlations confirm that <italic>Pratylenchus</italic> has developed a wide host range including high diversity of plant habitats (Jones and Fosu-Nyarko, <xref ref-type="bibr" rid="B33">2014</xref>). At high elevation, the relaxation in plant defenses against herbivores could explain this wide host range (Pellissier et al., <xref ref-type="bibr" rid="B50">2012</xref>; Rasmann et al., <xref ref-type="bibr" rid="B53">2014</xref>), but this needs to be confirmed. Thus, considering the number of significant correlations between local flora and the abundance of nematode taxa across elevation zones, this study suggests that nematodes with broader ecological niches including more diversified vegetation might be advantaged at high elevation, i.e., in more fragmented landscapes with higher variability of the vegetation (Rasmann et al., <xref ref-type="bibr" rid="B53">2014</xref>). That said, our methodological approach has the intrinsic limitation of being purely correlative, and future research should address the specificity of plant-nematode interaction across different habitats.</p>
</sec>
<sec>
<title>Variation in nematode trophic function along elevation gradients</title>
<p>In recent years, numerous studies have advocated the importance of replacing taxonomical biodiversity with functional diversity for uncovering mechanisms of ecosystem functioning (Th&#x000E9;baud and Loreau, <xref ref-type="bibr" rid="B63">2006</xref>; Reiss et al., <xref ref-type="bibr" rid="B56">2009</xref>; Thompson et al., <xref ref-type="bibr" rid="B64">2012</xref>; Montoya et al., <xref ref-type="bibr" rid="B43">2015</xref>). Hence, a shift from studying the composition of nematode communities from a taxonomical perspective to analyzing the assemblage of these communities based on trophic functional guilds is appropriate for better understanding changes in soil ecosystem functioning along elevation gradients. Here, we analyzed several major classes of community indices in order to estimate the contribution of nematodes to soil food web structure along elevations.</p>
<p>First, our results show an increase of the sigma-maturity index (&#x003A3;MI) along mountain slopes (Figure <xref ref-type="supplementary-material" rid="SM6">S3A</xref>), and, consequently, indicate that nematodes sensitive to environmental perturbations and harboring longer life cycles are more abundant at high elevation. This increase in the &#x003A3;MI relies on both free-living and plant-parasitic nematodes. However, our study suggests that higher &#x003A3;MI values on mountaintops are mainly driven by an increase of herbivorous nematodes with slow growing rates and longer life cycle at high elevation (Figure <xref ref-type="supplementary-material" rid="SM6">S3C</xref>). This increase in &#x0201C;persisters&#x0201D; within plant-feeding nematodes at high elevation could be due to low annual soil temperature and slow turnover and nutrient cycling, which might be more suitable for nematodes with longer life cycles and low reproduction rates. Furthermore, tolerance of &#x0201C;persister&#x0201D; nematodes toward stress conditions, like those occurring at high elevation, should be more suitable for plant-feeding than for free-living nematodes (Bongers, <xref ref-type="bibr" rid="B7">1990</xref>).</p>
<p>Second, the increase of the CI with elevation (Figure <xref ref-type="fig" rid="F5">5B</xref>), i.e., the ratio of fungivore to bacterivore nematodes, reveals that the fungal decomposition pathways support greater nematode biomass than bacterial decomposition at high elevation. This pattern might be explained by the variation of the productivity of soils as argued by Wardle et al. (<xref ref-type="bibr" rid="B69">2004</xref>). At high elevation, plant traits such as slow growing and long leaf life span result in slow mineralization rates, and thus in less fertile soils (see also our results of decrease in conductivity at higher elevation, Figure <xref ref-type="supplementary-material" rid="SM5">S2B</xref>). These high elevation conditions enhance fungal-based energy flows within ecosystems, consequently accompanied by slower decomposition rates compared to lowland soils with more bacterial-based pathways (Wardle and Yeates, <xref ref-type="bibr" rid="B70">1993</xref>; Zhao and Neher, <xref ref-type="bibr" rid="B76">2014</xref>).</p>
<p>The fifth community index retained in our study, the enrichment index (EI), is not affected by elevation, even if we recorded strong variability between soil locations (Figure <xref ref-type="fig" rid="F5">5A</xref>). Hence, the ratio of nematodes indicating enrichment and basal characteristics of the food web is likely to rely on local soil conditions, independently of elevation.</p>
<p>In addition to the above-mentioned indices, the metabolic footprints (MF) of nematode communities can inform on how carbon assimilation in soil food web from autotrophic organisms varies with elevation (Ferris, <xref ref-type="bibr" rid="B22">2010</xref>). Overall, the increase of the composite MF (i.e., the MF for the whole nematode community) along mountain slopes is similarly quite surprising. Indeed, while abundance and species diversity of most of soil invertebrates decrease with elevation (Hodkinson, <xref ref-type="bibr" rid="B28">2005</xref>; Rasmann et al., unpublished), we here show that the energy flow canalized through nematodes increases with elevation. These results are in line with a previous study performed in grasslands and demonstrating the stronger role of soil mesofauna in incorporating carbon within soil food-webs compared to macrofauna (Ostle et al., <xref ref-type="bibr" rid="B48">2007</xref>). However, changes in habitats, like those occurring along elevation clines, trigger variations in soil biota, and might impact the resulting nutrient fluxes differently. For instance, the abundance and the biodiversity of nematodes and mites along grassland successional stages evolve in opposite directions, and this triggers variation in interactions between vegetation and soil biota and therefore variation in nutrient fluxes (Swift et al., <xref ref-type="bibr" rid="B62">1998</xref>). In this context, our results along elevation pattern deserve further studies for better understanding to what extent nematodes replace other soil invertebrates (earthworms, collembolans, enchytraeidae, mites) for carbon cycling in Alpine soils.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusions</title>
<p>Our results show that harsh elevation environments drive modifications in the composition of nematode communities based on ecological traits conferring local adaptations. In addition, the correlations between local flora and nematode distribution suggest that nematodes colonizing various high elevation habitats could cope with more fragmented and spatially variable vegetation on mountain tops. Further studies with higher taxonomic resolution are required to validate this hypothesis. Indeed, while genera of nematodes found at high elevation seem to harbor wider host-range, we cannot exclude that different species within these genera are specialized on different habitats and/or plant species. Finally, this study highlights the potential of nematodes&#x00027; derived ecological indices in understanding ecosystem processes along ecological gradients. We could observe that the role played by nematodes in nutrient cycling increases with elevation, as they partially take over carbon assimilation in soil food web. Future accurate sampling strategies of nematodes across more specific habitats are nevertheless required to dissect how ecosystems types and ecological factors affect nematode-driven soil ecosystem processes along elevation gradient.</p>
</sec>
<sec id="s6">
<title>Author contributions</title>
<p>SR, RC, SS planned the experiment and collected the data. PV provided plant cover data. AK analyzed the data and wrote the manuscript. All authors reviewed and commented previous versions of the manuscript.</p>
<sec>
<title>Conflict of interest statement</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>
</body>
<back>
<ack>
<p>Julia Bilat and Lea Megali provided assistance during field collection. The authors thank the editor for inviting this contribution, and the two reviewers for their insightful comments. This work was financed by Swiss National Science Foundation grants 31003A_159869 and PZ00P3_131956 to SR.</p>
</ack>
<sec sec-type="supplementary-material" id="s7">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="http://journal.frontiersin.org/article/10.3389/fevo.2016.00084">http://journal.frontiersin.org/article/10.3389/fevo.2016.00084</ext-link></p>
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