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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2016.01093</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Genetic Diversity of Cultivated Lentil (<italic>Lens culinaris</italic> Medik.) and Its Relation to the World&#x00027;s Agro-ecological Zones</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Khazaei</surname> <given-names>Hamid</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/351294/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Caron</surname> <given-names>Carolyn T.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/357186/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Fedoruk</surname> <given-names>Michael</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Diapari</surname> <given-names>Marwan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/205428/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Vandenberg</surname> <given-names>Albert</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/326156/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Coyne</surname> <given-names>Clarice J.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/302501/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>McGee</surname> <given-names>Rebecca</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Bett</surname> <given-names>Kirstin E.</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/186614/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Plant Sciences, University of Saskatchewan</institution> <country>Saskatoon, SK, Canada</country></aff>
<aff id="aff2"><sup>2</sup><institution>London Research and Development Centre, Agriculture and Agri-Food Canada</institution> <country>London, ON, Canada</country></aff>
<aff id="aff3"><sup>3</sup><institution>USDA-ARS</institution> <country>Pullman, WA, USA</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Antonio M. De Ron, Spanish National Research Council, Spain</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Matthew Nicholas Nelson, University of Western Australia, Australia; Sripada M. Udupa, ICARDA, Morocco</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Kirstin E. Bett <email>k.bett&#x00040;usask.ca</email></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Crop Science and Horticulture, a section of the journal Frontiers in Plant Science</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>07</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection">
<year>2016</year>
</pub-date>
<volume>7</volume>
<elocation-id>1093</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>05</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>07</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2016 Khazaei, Caron, Fedoruk, Diapari, Vandenberg, Coyne, McGee and Bett.</copyright-statement>
<copyright-year>2016</copyright-year>
<copyright-holder>Khazaei, Caron, Fedoruk, Diapari, Vandenberg, Coyne, McGee and Bett</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>Assessment of genetic diversity and population structure of germplasm collections plays a critical role in supporting conservation and crop genetic enhancement strategies. We used a cultivated lentil (<italic>Lens culinaris</italic> Medik.) collection consisting of 352 accessions originating from 54 diverse countries to estimate genetic diversity and genetic structure using 1194 polymorphic single nucleotide polymorphism (SNP) markers which span the lentil genome. Using principal coordinate analysis, population structure analysis and UPGMA cluster analysis, the accessions were categorized into three major groups that prominently reflected geographical origin (world&#x00027;s agro-ecological zones). The three clusters complemented the origins, pedigrees, and breeding histories of the germplasm. The three groups were (a) South Asia (sub-tropical savannah), (b) Mediterranean, and (c) northern temperate. Based on the results from this study, it is also clear that breeding programs still have considerable genetic diversity to mine within the cultivated lentil, as surveyed South Asian and Canadian germplasm revealed narrow genetic diversity.</p>
</abstract>
<kwd-group>
<kwd>lentil</kwd>
<kwd>genetic diversity</kwd>
<kwd>population structure</kwd>
<kwd>germplasm</kwd>
<kwd>SNP markers</kwd>
<kwd>agro-ecological zones</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="50"/>
<page-count count="7"/>
<word-count count="5119"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Cultivated lentil (<italic>Lens culinaris</italic> Medikus ssp. <italic>culinaris</italic>) is the third most important cool-season grain legume in the world after chickpea (<italic>Cicer arietinum</italic> L.) and pea (<italic>Pisum sativum</italic> L.) (FAO, <xref ref-type="bibr" rid="B19">2015</xref>). Legumes are important components in farming systems, providing environmental and ecological benefits through crop rotation, especially by contributing to soil fertility and rhizosphere diversity through biological N<sub>2</sub> fixation. Global annual lentil production was around 5 million metric tons (Tg) from nearly 4.3 million ha (Mha) in 2013. Canada was the largest producer, contributing 38% of the world&#x00027;s production, followed by India, Turkey, and Australia (FAO, <xref ref-type="bibr" rid="B19">2015</xref>). Lentil was one of the first domesticated grain legumes, originating from the Near East center of origin (Zohary, <xref ref-type="bibr" rid="B50">1999</xref>). Lentil subsequently spread to central Asia and the Mediterranean Basin (Cubero, <xref ref-type="bibr" rid="B8">1981</xref>; Lev-Yadun et al., <xref ref-type="bibr" rid="B30">2000</xref>). It is a relatively new crop in North America, first introduced into northwest USA in the 1930s and into the northern temperate prairies of North America in the late 1960s (Muehlbauer et al., <xref ref-type="bibr" rid="B34">1995</xref>). Globally today, lentil is grown in three major distinct agro-ecological zones: Mediterranean, sub-tropical savannah, and northern temperate (Tullu et al., <xref ref-type="bibr" rid="B47">2011</xref>). These zones each exhibit different day lengths and temperatures, which limits the exchange of germplasm between agro-ecological adaptation zones.</p>
<p>Success in crop breeding is a function of heritability, genetic diversity, and selection. Natural agro-biodiversity stored in genebanks can be used to expand the diversity in crops. These collections are a vital source for discovering useful genes/alleles, which serve as a cornerstone for any pre-breeding program. There are currently 58,405 <italic>Lens</italic> accessions held in various genebanks worldwide (FAO, <xref ref-type="bibr" rid="B18">2010</xref>). International Center for Agricultural Research in the Dry Areas (ICARDA) hosts the largest collection (19%) followed by the National Bureau of Plant Genetic Resources, India (17%) and the Australian temperate field crops collection (9%). Currently, the most accessible and accessed lentil collection is held by the USDA-ARS (United States Department of Agriculture&#x02014;Agricultural Research Service; <ext-link ext-link-type="uri" xlink:href="https://npgsweb.ars-grin.gov/">https://npgsweb.ars-grin.gov/</ext-link>).</p>
<p>Assessments of genetic diversity and relationships among preserved germplasm have important implications both for facilitating reliable documentation of genetic resources and for identifying material with possible utility for specific breeding purposes, particularly in cultivated lentil and other species with a narrow genetic base. Lentil is an autogamous diploid species with seven chromosome pairs and a relatively large genome of &#x0007E;4 Gbp in the haploid complement (Arumuganathan and Earle, <xref ref-type="bibr" rid="B4">1991</xref>). Considerable genetic diversity has been reported in <italic>Lens</italic> genetic resources for agro-morphological and phenological characteristics (e.g., Erskine and Choudhary, <xref ref-type="bibr" rid="B15">1986</xref>; Erskine et al., <xref ref-type="bibr" rid="B13">1989</xref>; Lazaro et al., <xref ref-type="bibr" rid="B28">2001</xref>; Zaccardelli et al., <xref ref-type="bibr" rid="B49">2012</xref>; Crist&#x000F3;bal et al., <xref ref-type="bibr" rid="B7">2014</xref>). Molecular markers, as the more reliable and powerful of genetic tools, have been deployed to characterize lentil genetic resources. Various molecular marker techniques and types have been used for this purpose. These include restriction fragment length polymorphisms (RFLPs, Havey and Muehlbauer, <xref ref-type="bibr" rid="B23">1989</xref>), amplified fragment length polymorphisms (AFLPs, Sharma et al., <xref ref-type="bibr" rid="B41">1996</xref>; Alghamdi et al., <xref ref-type="bibr" rid="B2">2014</xref>), random amplified polymorphic DNAs (RAPDs, Abo-Elwafa et al., <xref ref-type="bibr" rid="B1">1995</xref>; Ford et al., <xref ref-type="bibr" rid="B21">1997</xref>; Ferguson et al., <xref ref-type="bibr" rid="B20">1998</xref>; Sonnante and Pignone, <xref ref-type="bibr" rid="B44">2001</xref>), and inter simple sequence repeats (ISSRs, Scippa et al., <xref ref-type="bibr" rid="B39">2008</xref>; Toklu et al., <xref ref-type="bibr" rid="B46">2009</xref>; El-Nahas et al., <xref ref-type="bibr" rid="B12">2011</xref>). Simple sequence repeats (SSRs) have the most widely used DNA markers for assessing genetic diversity in lentil (see Liu et al., <xref ref-type="bibr" rid="B31">2008</xref>; Babayeva et al., <xref ref-type="bibr" rid="B5">2009</xref>; Kaur et al., <xref ref-type="bibr" rid="B26">2011</xref>; Zaccardelli et al., <xref ref-type="bibr" rid="B49">2012</xref>; Dikshit et al., <xref ref-type="bibr" rid="B9">2015</xref>; Idrissi et al., <xref ref-type="bibr" rid="B24">2015</xref>).</p>
<p>In recent years, genome-wide nucleotide-level surveys from different individuals within or across species have received increasing emphasis (Yang et al., <xref ref-type="bibr" rid="B48">2015</xref>). Development of gene-based single nucleotide polymorphisms (SNP) markers is effective for detecting genetic diversity in plant species (Frascaroli et al., <xref ref-type="bibr" rid="B22">2013</xref>; Semagn et al., <xref ref-type="bibr" rid="B40">2014</xref>). SNPs are the most abundant type of polymorphism in all genomes, which allows high-throughput genotyping that is low cost, locus specific, and co-dominant with simple documentation. So far, only a limited number of SNP markers have been used to study the genetic diversity in lentil (Lombardi et al., <xref ref-type="bibr" rid="B33">2014</xref>; Basheer-Salimia et al., <xref ref-type="bibr" rid="B6">2015</xref>). The population structure of global lentil accessions has not been extensively characterized based on their agro-ecological adaptation zones. The main aims of this study were to assess the population structure and genetic variation of a group of 352 lentil germplasm accessions of Canadian breeding lines (northern temperate adaptation) and <italic>ex situ</italic> germplasm collections of a diverse origin using a relatively large number of SNP markers spanning the genome.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and methods</title>
<sec>
<title>Plant material and DNA extraction</title>
<p>A total of 352 lentil accessions originating from 54 countries were collected from various sources including breeding lines obtained from the Crop Development Centre (CDC) collection in Saskatoon, Canada, from ICARDA, and the USDA-ARS. The accession numbers and origins of the selected accessions are given in Supplementary Table <xref ref-type="supplementary-material" rid="SM1">1</xref>. Accessions were assigned to different major agro-ecological zones: Mediterranean, sub-tropical savannah (particularly northeast India, Nepal&#x00027;s lowland, and western Bangladesh), and Northern temperate according to global agro-ecological zones v3.0 (IIASA/FAO, <xref ref-type="bibr" rid="B25">2012</xref>). In the Mediterranean adaptation zone, sowing occurs after the autumn equinox following a hot dry summer, prior to the winter solstice. Similarly, in the sub-tropical savannah (South Asia) planting occurs after the autumn equinox to take advantage of declining day lengths and temperatures during the juvenile phase and increases during the reproductive phase. Temperate adaptation zones require planting to occur after the spring equinox following a cold winter, prior to the summer solstice. Germplasm originating from Iran and Turkey were not assigned to specific agro-ecological zones due to different agro-ecological climates within the country borders for lentil production areas and a lack of specific collection location that would facilitate this classification. Furthermore, ICARDA breeding lines and USDA lines designated W6 &#x00023; (hereafter referred to as USA breeding lines) were not assigned to an agro-ecological zones, since they were not specifically attributed a particular zone.</p>
<p>Canadian lines, along with ICARDA germplasm, were grown in Saskatoon, Canada and leaf tissues from at least five different plants were collected for genomic DNA extraction using a modified CTAB extraction method (Doyle and Doyle, <xref ref-type="bibr" rid="B10">1990</xref>). DNA samples from leaf samples of greenhouse grown plants were provided by the USDA-ARS for the USA germplasm (PI and W6 lines; see Simon and Hannan, <xref ref-type="bibr" rid="B43">1995</xref>).</p>
</sec>
<sec>
<title>SNP discovery and genotyping</title>
<p>The Lc1536 GoldenGate high-throughput assay (Illumina, San Diego, CA) described by Sharpe et al. (<xref ref-type="bibr" rid="B42">2013</xref>) was used to genotype the 352 lentil accessions. The SNP genotyping was performed on an Illumina BeadStation 500G (Illumina, San Diego, CA) at the National Research Council (NRC), in Saskatoon, Canada with the protocol supported by Illumina (Fan et al., <xref ref-type="bibr" rid="B17">2003</xref>). A robust set of 1440 of the SNP markers was used for further analyses.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>The SNP marker data were analyzed using PowerMarker v. 3.25 (Liu and Muse, <xref ref-type="bibr" rid="B32">2005</xref>) to calculate minor allele frequency (MAF), heterozygosity, gene diversity, and polymorphic information content (PIC).</p>
</sec>
<sec>
<title>Population structure and genetic diversity</title>
<p>The program STRUCTURE v. 2.3.4 (Pritchard et al., <xref ref-type="bibr" rid="B37">2000</xref>) was used to calculate the most probable number of sub-populations (<italic>K</italic>) in the panel. Five independent runs were conducted for each <italic>K</italic> ranging from 1 to 10 with both a burn-in time and Markov Chain Monte Carlo (MCMC) replication number of 500,000 using an admixture model. Selection of the best <italic>K</italic>-value was based on the procedure presented in Evanno et al. (<xref ref-type="bibr" rid="B16">2005</xref>) by submitting the results for each <italic>K</italic> to the STRUCTURE HARVESTER website, which returned the <italic>L</italic>(<italic>K</italic>) and &#x00394;<italic>K</italic>-value (Earl and vonHoldt, <xref ref-type="bibr" rid="B11">2012</xref>), as well as a basic understanding of the nature of the germplasm. The results from STRUCTURE were presented at the country level, using the &#x0201C;rworldmap&#x0201D; package (South, <xref ref-type="bibr" rid="B45">2011</xref>) in R (R Core Development Team, <xref ref-type="bibr" rid="B38">2015</xref>).</p>
<p>Genetic structure of the lentil population was analyzed by performing principal coordinate analysis (PCoA) using GenAlEx v. 6.5 (Peakall and Smouse, <xref ref-type="bibr" rid="B36">2012</xref>) based on standardized covariance of genetic distance for co-dominant markers. GenAlEx v. 6.5 was also used to calculate Analysis of Molecular Variance (AMOVA) among and within assigned groups. The genetic distance between genotypes and countries were computed using Nei&#x00027;s standard genetic distance (Nei, <xref ref-type="bibr" rid="B35">1973</xref>) with PowerMarker software. A dendrogram was constructed from Nei&#x00027;s distance matrix using UPGMA and the resulting tree was visualized using iTOL v. 3.0 (Letunic and Bork, <xref ref-type="bibr" rid="B29">2011</xref>).</p>
<p>The sequences of all the markers used in this study are described in Sharpe et al. (<xref ref-type="bibr" rid="B42">2013</xref>). All data are also available in KnowPulse (<ext-link ext-link-type="uri" xlink:href="http://knowpulse.usask.ca">http://knowpulse.usask.ca</ext-link>) and Supplementary Table <xref ref-type="supplementary-material" rid="SM2">2</xref>.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>SNP markers information</title>
<p>Of 1400 SNP markers, 5.46% were monomorphic among the accessions, 2.14% generated ambiguous products, and 7.21% were rejected on the grounds of excess missing data points (&#x0003E;30% missing data per marker). This filtering resulted in 1194 high quality polymorphic SNP markers for use in the clustering analyses. Around 40% of these SNP markers were previously mapped and shown to be evenly distributed throughout the genome (Sharpe et al., <xref ref-type="bibr" rid="B42">2013</xref>). The overall PIC value was 0.3092 &#x000B1; 0.0789. Measurements of the average observed heterozygosity over all loci and gene diversity were 0.0375 &#x000B1; 0.0755 and 0.3932 &#x000B1; 0.1160, respectively (Supplementary Table <xref ref-type="supplementary-material" rid="SM3">3</xref>).</p>
</sec>
<sec>
<title>Population structure and genetic relationship</title>
<p>We ran STRUCTURE for a range of <italic>K</italic> (number of fixed subgroups or cluster) from 1 to 10 on the entire set of accessions. The estimated log probability of the data [Ln<italic>P</italic>(<italic>K</italic>)] for each <italic>K</italic> plateaued at <italic>K</italic> &#x0003D; 3. The maximum &#x00394;<italic>K</italic>-value was also reached at <italic>K</italic> &#x0003D; 3 (Supplementary Figure <xref ref-type="supplementary-material" rid="SM6">1</xref>) suggesting three distinct groups. Geographical distribution of the 352 lentil accessions along with their projected population structure are shown in Figure <xref ref-type="fig" rid="F1">1</xref>. These three clusters closely reflected the origins, pedigrees and breeding history of germplasm used in this study. Accessions collected from southern Asia and the Middle East were assigned to the same gene pool. Lentil accessions originating mainly from the Mediterranean, northeast Africa (along the Nile valley from Egypt to Ethiopia), and South America were assigned to the second group, whereas the third group consisted mostly of genotypes from northern latitudes (Canada and Russian). Results from principal coordinates analysis (Figure <xref ref-type="fig" rid="F2">2</xref>) were consistent with those of STRUCTURE and UPGMA cluster analysis by revealing three clusters (Supplementary Figure <xref ref-type="supplementary-material" rid="SM7">2</xref>). The AMOVA based on PhiPT-values revealed that genetic variation mainly occurred within groups (86%), while the variation between the groups was 14% (Supplementary Table <xref ref-type="supplementary-material" rid="SM4">4</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p><bold>Map of the world showing the country-specific distribution of 352 lentil accessions based on population structure (<italic><bold>K</bold></italic> &#x0003D; 3)</bold>. The size and color of pie chart is corresponding to sample size and the percentage of samples in each group, respectively.</p></caption>
<graphic xlink:href="fpls-07-01093-g0001.tif"/>
</fig>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p><bold>Principal coordinate analysis (PCoA) of the 352 lentil accessions using 1194 polymorphic SNP markers</bold>. Each symbol/color combination represents different country of origin. The most two distinct accessions, Indianhead and ILL 5588, are labeled.</p></caption>
<graphic xlink:href="fpls-07-01093-g0002.tif"/>
</fig>
<p>Based on the 1194 polymorphic SNP markers, three pairs of accessions were genetically indistinguishable despite having different accession numbers: <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="PI163589">PI 163589</ext-link> and <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="PI320945">PI 320945</ext-link>, <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="PI431675">PI 431675</ext-link> <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="PI431731">PI 431731</ext-link>, and <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="PI297284">PI 297284</ext-link> and <ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="PI297285">PI 297285</ext-link>.</p>
<p>Based on Nei&#x00027;s genetic distance matrix, a close relationship exists between Indian material and germplasm from Nepal, Pakistan, and Afghanistan (0.0575, 0.0202, and 0.1310, respectively). Generally, South Asian and Middle Eastern (i.e., Iran and Turkey) germplasm grouped together, however, some of the Iranian and Turkish germplasm skewed to those from Mediterranean and northern climates. Within the second group, germplasm from Chile exhibited the closest relationship to germplasm from Morocco (0.0828). Canadian cultivars and breeding lines, representative of group 3, were closely related to much of the &#x0201C;W6&#x0201D; numbered lines which used in USDA lentil breeding program as parents in recombinant inbred lines development (USA breeding materials; 0.0968) and Russian (0.0961) germplasm (Supplementary Table <xref ref-type="supplementary-material" rid="SM5">5</xref>). Most of the Canadian breeding lines were clustered together with the exception of CDC Plato, CDC Imigreen and CDC Cherie. Conversely, USA breeding lines and ICARDA breeding lines were relatively well distributed among the three groups (Figure <xref ref-type="fig" rid="F2">2</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The deep population structure of cultivated lentil and its importance in explaining genetic diversity underscores the value of using global lentil genetic resources to broaden the genetic base in breeding programs and to improve our knowledge of adaptation in this species. Given the sample size (individuals and country of origins) and relatively high marker density, this study identified three major clusters of germplasm reflecting the geographical origins, pedigrees, and breeding history of accessions. We categorized these clusters as (a) subtropical, South Asian, (b) Mediterranean, including Southern Europe and North Africa, and (c) northern temperate climates. These three groups reflect the main climatic regions in which lentil is widely grown as described by Tullu et al. (<xref ref-type="bibr" rid="B47">2011</xref>).</p>
<p>Lentil accessions from South Asia (primarily Nepal, India, and Pakistan) have a narrow genetic base and are genetically more isolated relative to other origins included in our study. This is likely a result of their specific phenological adaptation to the sub-tropical savannah environment and a potential genetic bottleneck during a time when lentil was introduced to South Asia around 2000 BC (Erskine et al., <xref ref-type="bibr" rid="B13">1989</xref>). Most previous diversity studies of lentil diversity using molecular markers to date revealed two distinct groups: South Asian and all other origins (Ferguson et al., <xref ref-type="bibr" rid="B20">1998</xref>; Alo et al., <xref ref-type="bibr" rid="B3">2011</xref>; Kumar et al., <xref ref-type="bibr" rid="B27">2014</xref>). In our study, however, germplasm from South Asia grouped with parts of material from Iran and Turkey, likely a stopping point on their move eastward on trade routes extending from the center of origin. A manual inspection of genetic distances between these regions shows that germplasm from Nepal, India, Afghanistan, and Pakistan are closely related, while relatively distant from Middle Eastern germplasm (Iran and Turkey). This implies there might be two distinct sub-groups within this particular cluster (South Asian and Middle Eastern). Germplasm from Afghanistan was found to be related to germplasm from South Asia as was previously reported using another set of molecular markers (e.g., Ferguson et al., <xref ref-type="bibr" rid="B20">1998</xref>; Kumar et al., <xref ref-type="bibr" rid="B27">2014</xref>).</p>
<p>Our results demonstrate that the Mediterranean, North African, and Chilean germplasm collections are similar with only a few deviations, following the classification of the Mediterranean agro-ecological zone. This is consistent with results from Ferguson et al. (<xref ref-type="bibr" rid="B20">1998</xref>) and Lombardi et al. (<xref ref-type="bibr" rid="B33">2014</xref>). Lentil was domesticated in the Eastern Mediterranean around 7&#x02013;8 BC, after which it spread to Europe. Lentil was introduced to South America by the Spanish via Chile (after 1500 AD). Lentil is mainly grown as a winter crop in these regions, under conditions of declining day length followed by gradual increase in day length and temperature during the life cycle (6&#x02013;7 month). This may explain the similarity among accessions of these regions.</p>
<p>Nearly 50% of the world&#x00027;s lentil production now originates from Canada (northern temperate climate) and Australia (Mediterranean climate) (FAO, <xref ref-type="bibr" rid="B19">2015</xref>), regions in which lentil is a relatively new crop. Clearly, the breeding programs in these two regions have drawn from distinct global lentil genetic resources that originate in regions with climatic and growing conditions that match their local conditions. Most Canadian germplasm is related to Laird and Eston. Laird was the first Canadian lentil cultivar, released in 1978. It was a pure line selection derived from PI 343028, originally from Russia, selected for higher yield and larger seeds in the Canadian growing environment. Eston, the second cultivar released in Canada in 1980, was similarly selected for adaptation from a Turkish accession, PI 179307. The results from PCoA and genetic distance cluster analyses all demonstrate a narrower genetic variability among Canadian breeding lines. This may be attributable to relatively recent adaptation to long day northern temperate conditions in the prairies of Canada and selection pressure for improving yield and specific adaptations. A similar trend has been reported for Australian lentil breeding lines and cultivars (Lombardi et al., <xref ref-type="bibr" rid="B33">2014</xref>). In contrast, breeding lines from the USA and ICARDA represent the most diverse material in this study and elsewhere (Alghamdi et al., <xref ref-type="bibr" rid="B2">2014</xref>). ICARDA breeding strategies are more internationally-focused, covering a wide variety of regions and adaptive traits as part of CGIAR&#x00027;s policy. For example, ILL 7502 and ILL 7537 were bred for Western Asian climates, while ILL 8008 was targeted for South Asian climates (Shiv Kumar, personal communication).</p>
<p>Lentil domestication already has led to &#x0007E;40% loss in genetic diversity (Alo et al., <xref ref-type="bibr" rid="B3">2011</xref>) and breeding in specific regions has narrowed this even more. Breeding new genotypes for traits of interest requires sampling broad genetic diversity. The various statistic methods we employed here support the presence of considerable genetic variability in global germplasm that is not being accessed in some regions. The results from population structure and PCoA in this study show, to some extent, a separation by origin of the accessions with closely related pedigrees typically group together. Phenotyping of available genetic diversity has demonstrated the importance of incorporating exotic germplasm into breeding programs focusing on biotic and abiotic stresses. For example, ILL 5588 (also known as PI 592998), an ICARDA accession originally collected from Jordan, is a known source of Ascochyta blight resistance in lentil (Erskine et al., <xref ref-type="bibr" rid="B14">1996</xref>). It is clearly distinct from most of the temperate germplasm (Figure <xref ref-type="fig" rid="F2">2</xref>) but it has been used in the pedigrees of some Canadian lines, including CDC Plato and CDC Cherie. This may explain why they did not cluster with the other Canadian lines.</p>
<p>The grouping of some accessions outside of their geographic origin may be the result of outcrossing, migration, and adaptation during cultivation of the crop by local farmers. For example, Moroccan germplasm expresses slightly less variation compared to those from Turkey due to narrower environmental conditions (Idrissi et al., <xref ref-type="bibr" rid="B24">2015</xref>). The major agro-morphological changes related to adaptation are mostly improvements to yield, increasing seed size, tolerance to biotic and abiotic stresses as well as improving market-dependent quality traits. Another source of division may be the growth habit of spring and winter types, which are most adapted to different climatic regions. It has also been noted that photoperiod plays a critical role to characterize lentil cultivation areas into the respective climatic regions (Tullu et al., <xref ref-type="bibr" rid="B47">2011</xref>).</p>
<p>The availability of EST sequences and SNP discovery are strong tools for investigating polymorphism in different species, for quantifying biological factors that influence the patterns of genetic diversity and for investigating bottlenecks due to the domestication of crop species. An allele-specific Illumina Golden Gate 1536-SNP array was constructed using SNPs discovered in expressed sequence tag (EST) sequences from nine <italic>L. culinaris</italic> accessions. This study has confirmed that the sub-set of SNP markers previously reported by Sharpe et al. (<xref ref-type="bibr" rid="B42">2013</xref>) can provide good resolution at low cost for genetic characterization of cultivated lentil germplasm in relation to the world&#x00027;s agro-ecological zones.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusions</title>
<p>Global cultivated lentil germplasm selected for this study clustered primarily based on eco-geographical origin into three basic groups: subtropical savannah, Mediterranean, and northern temperate. The narrow genetic base of some groups of germplasm (e.g., Canadian and South Asian) raises concern over the loss/penalty in yield due to biotic and abiotic stresses, particularly with the threat to global food security from climate change. This highlights the importance of harnessing the potential of lentil wild species in breeding programs by introgression of favorable genes from other regions. Based on the results from this study, it is also clear that breeding programs still have a lot of genetic diversity to mine within the cultivated species.</p>
</sec>
<sec id="s6">
<title>Author contributions</title>
<p>KB and AV designed the research; HK, and CTC analyzed data; MD and MF contributed to data generation; CJC and RM contributed germplasm and reagents; HK, CTC, KB, and AV contributed to writing 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>This research was supported by Natural Sciences and Engineering Research Council of Canada (NSERC) and the Saskatchewan Pulse Growers. The authors would like to acknowledge Rob Stonehouse and Lacey-Anne Sanderson for their kind technical support during the experiments.</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/fpls.2016.01093">http://journal.frontiersin.org/article/10.3389/fpls.2016.01093</ext-link></p>
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