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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Assessment of the Food Habits of the Moroccan Dorcas Gazelle in M’Sabih Talaa, West Central Morocco, Using the <italic>trn</italic>L Approach</title><author><name sortKey="Ait Baamrane, Moulay Abdeljalil" sort="Ait Baamrane, Moulay Abdeljalil" uniqKey="Ait Baamrane M" first="Moulay Abdeljalil" last="Ait Baamrane">Moulay Abdeljalil Ait Baamrane</name><affiliation><nlm:aff id="aff1"><addr-line>Laboratoire Biodiversité et Dynamique des Ecosystèmes [BioDEcos], Faculté des Sciences-Semlalia, Université Cadi Ayyad, Marrakech, Morocco</addr-line></nlm:aff></affiliation></author><author><name sortKey="Shehzad, Wasim" sort="Shehzad, Wasim" uniqKey="Shehzad W" first="Wasim" last="Shehzad">Wasim Shehzad</name><affiliation><nlm:aff id="aff2"><addr-line>Laboratoire d’Ecologie Alpine [LECA], CNRS UMR 5553, Université Joseph Fourier, Grenoble, France</addr-line></nlm:aff></affiliation></author><author><name sortKey="Ouhammou, Ahmed" sort="Ouhammou, Ahmed" uniqKey="Ouhammou A" first="Ahmed" last="Ouhammou">Ahmed Ouhammou</name><affiliation><nlm:aff id="aff3"><addr-line>Laboratoire Ecologie et Environnement [L2E], Faculté des Sciences-Semlalia, Université Cadi Ayyad, Marrakech, Morocco</addr-line></nlm:aff></affiliation></author><author><name sortKey="Abbad, Abdelaziz" sort="Abbad, Abdelaziz" uniqKey="Abbad A" first="Abdelaziz" last="Abbad">Abdelaziz Abbad</name><affiliation><nlm:aff id="aff4"><addr-line>Laboratoire de Biotechnologies, Protection et Valorisation des Ressources Végétales [Biotec-VRV], Faculté des Sciences-Semlalia, Université Cadi Ayyad, Marrakech, Morocco</addr-line></nlm:aff></affiliation></author><author><name sortKey="Naimi, Mohamed" sort="Naimi, Mohamed" uniqKey="Naimi M" first="Mohamed" last="Naimi">Mohamed Naimi</name><affiliation><nlm:aff id="aff1"><addr-line>Laboratoire Biodiversité et Dynamique des Ecosystèmes [BioDEcos], Faculté des Sciences-Semlalia, Université Cadi Ayyad, Marrakech, Morocco</addr-line></nlm:aff></affiliation></author><author><name sortKey="Coissac, Eric" sort="Coissac, Eric" uniqKey="Coissac E" first="Eric" last="Coissac">Eric Coissac</name><affiliation><nlm:aff id="aff2"><addr-line>Laboratoire d’Ecologie Alpine [LECA], CNRS UMR 5553, Université Joseph Fourier, Grenoble, France</addr-line></nlm:aff></affiliation></author><author><name sortKey="Taberlet, Pierre" sort="Taberlet, Pierre" uniqKey="Taberlet P" first="Pierre" last="Taberlet">Pierre Taberlet</name><affiliation><nlm:aff id="aff2"><addr-line>Laboratoire d’Ecologie Alpine [LECA], CNRS UMR 5553, Université Joseph Fourier, Grenoble, France</addr-line></nlm:aff></affiliation></author><author><name sortKey="Znari, Mohammed" sort="Znari, Mohammed" uniqKey="Znari M" first="Mohammed" last="Znari">Mohammed Znari</name><affiliation><nlm:aff id="aff1"><addr-line>Laboratoire Biodiversité et Dynamique des Ecosystèmes [BioDEcos], Faculté des Sciences-Semlalia, Université Cadi Ayyad, Marrakech, Morocco</addr-line></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">22558187</idno><idno type="pmc">3338736</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338736</idno><idno type="RBID">PMC:3338736</idno><idno type="doi">10.1371/journal.pone.0035643</idno><date when="2012">2012</date><idno type="wicri:Area/Pmc/Corpus">000254</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000254</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Assessment of the Food Habits of the Moroccan Dorcas Gazelle in M’Sabih Talaa, West Central Morocco, Using the <italic>trn</italic>L Approach</title><author><name sortKey="Ait Baamrane, Moulay Abdeljalil" sort="Ait Baamrane, Moulay Abdeljalil" uniqKey="Ait Baamrane M" first="Moulay Abdeljalil" last="Ait Baamrane">Moulay Abdeljalil Ait Baamrane</name><affiliation><nlm:aff id="aff1"><addr-line>Laboratoire Biodiversité et Dynamique des Ecosystèmes [BioDEcos], Faculté des Sciences-Semlalia, Université Cadi Ayyad, Marrakech, Morocco</addr-line></nlm:aff></affiliation></author><author><name sortKey="Shehzad, Wasim" sort="Shehzad, Wasim" uniqKey="Shehzad W" first="Wasim" last="Shehzad">Wasim Shehzad</name><affiliation><nlm:aff id="aff2"><addr-line>Laboratoire d’Ecologie Alpine [LECA], CNRS UMR 5553, Université Joseph Fourier, Grenoble, France</addr-line></nlm:aff></affiliation></author><author><name sortKey="Ouhammou, Ahmed" sort="Ouhammou, Ahmed" uniqKey="Ouhammou A" first="Ahmed" last="Ouhammou">Ahmed Ouhammou</name><affiliation><nlm:aff id="aff3"><addr-line>Laboratoire Ecologie et Environnement [L2E], Faculté des Sciences-Semlalia, Université Cadi Ayyad, Marrakech, Morocco</addr-line></nlm:aff></affiliation></author><author><name sortKey="Abbad, Abdelaziz" sort="Abbad, Abdelaziz" uniqKey="Abbad A" first="Abdelaziz" last="Abbad">Abdelaziz Abbad</name><affiliation><nlm:aff id="aff4"><addr-line>Laboratoire de Biotechnologies, Protection et Valorisation des Ressources Végétales [Biotec-VRV], Faculté des Sciences-Semlalia, Université Cadi Ayyad, Marrakech, Morocco</addr-line></nlm:aff></affiliation></author><author><name sortKey="Naimi, Mohamed" sort="Naimi, Mohamed" uniqKey="Naimi M" first="Mohamed" last="Naimi">Mohamed Naimi</name><affiliation><nlm:aff id="aff1"><addr-line>Laboratoire Biodiversité et Dynamique des Ecosystèmes [BioDEcos], Faculté des Sciences-Semlalia, Université Cadi Ayyad, Marrakech, Morocco</addr-line></nlm:aff></affiliation></author><author><name sortKey="Coissac, Eric" sort="Coissac, Eric" uniqKey="Coissac E" first="Eric" last="Coissac">Eric Coissac</name><affiliation><nlm:aff id="aff2"><addr-line>Laboratoire d’Ecologie Alpine [LECA], CNRS UMR 5553, Université Joseph Fourier, Grenoble, France</addr-line></nlm:aff></affiliation></author><author><name sortKey="Taberlet, Pierre" sort="Taberlet, Pierre" uniqKey="Taberlet P" first="Pierre" last="Taberlet">Pierre Taberlet</name><affiliation><nlm:aff id="aff2"><addr-line>Laboratoire d’Ecologie Alpine [LECA], CNRS UMR 5553, Université Joseph Fourier, Grenoble, France</addr-line></nlm:aff></affiliation></author><author><name sortKey="Znari, Mohammed" sort="Znari, Mohammed" uniqKey="Znari M" first="Mohammed" last="Znari">Mohammed Znari</name><affiliation><nlm:aff id="aff1"><addr-line>Laboratoire Biodiversité et Dynamique des Ecosystèmes [BioDEcos], Faculté des Sciences-Semlalia, Université Cadi Ayyad, Marrakech, Morocco</addr-line></nlm:aff></affiliation></author></analytic><series><title level="j">PLoS ONE</title><idno type="eISSN">1932-6203</idno><imprint><date when="2012">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Food habits of the Moroccan dorcas gazelle, <italic>Gazella dorcas massaesyla,</italic> previously investigated in the 1980s using microhistological fecal analysis, in the M’Sabih Talaa Reserve, west central Morocco, were re-evaluated over three seasons (spring, summer and autumn 2009) using the <italic>trn</italic>L approach to determine the diet composition and its seasonal variation from fecal samples. Taxonomic identification was carried out using the identification originating from the database built from EMBL and the list of plant species within the reserve. The total taxonomic richness in the reserve was 130 instead of 171 species in the 1980s. The diet composition revealed to be much more diversified (71 plant taxa belonging to 57 genus and 29 families) than it was 22 years ago (29 identified taxa). Thirty-four taxa were newly identified in the diet while 13 reported in 1986–87 were not found. Moroccan dorcas gazelle showed a high preference to <italic>Acacia gummifera, Anagallis arvensis</italic>, <italic>Glebionis coronaria, Cladanthus arabicus, Diplotaxis tenuisiliqua, Erodium salzmannii, Limonium thouini, Lotus arenarius and Zizyphus lotus</italic>. Seasonal variations occurred in both number (40–41 taxa in spring-summer and 49 taxa in autumn <italic>vs</italic>. respectively 23–22 and 26 in 1986–1987) and taxonomic type of eaten plant taxa. This dietary diversification could be attributed either to the difference in methods of analysis, <italic>trn</italic>L approach having a higher taxonomic resolution, or a potential change in nutritional quality of plants over time.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Duffy, Je" uniqKey="Duffy J">JE Duffy</name></author><author><name sortKey="Cardinale, Bj" uniqKey="Cardinale B">BJ Cardinale</name></author><author><name sortKey="France, Ke" uniqKey="France K">KE France</name></author><author><name sortKey="Mcintyre, Pb" uniqKey="Mcintyre P">PB McIntyre</name></author><author><name sortKey="Thebault, E" uniqKey="Thebault E">E Thébault</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Bradley, B" uniqKey="Bradley B">B Bradley</name></author><author><name sortKey="Stiller, M" uniqKey="Stiller M">M Stiller</name></author><author><name sortKey="Doran Sheehy, D" uniqKey="Doran Sheehy D">D 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<front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS One</journal-id><journal-id journal-id-type="iso-abbrev">PLoS ONE</journal-id><journal-id journal-id-type="publisher-id">plos</journal-id><journal-id journal-id-type="pmc">plosone</journal-id><journal-title-group><journal-title>PLoS ONE</journal-title></journal-title-group><issn pub-type="epub">1932-6203</issn><publisher><publisher-name>Public Library of Science</publisher-name><publisher-loc>San Francisco, USA</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">22558187</article-id><article-id pub-id-type="pmc">3338736</article-id><article-id pub-id-type="publisher-id">PONE-D-11-19881</article-id><article-id pub-id-type="doi">10.1371/journal.pone.0035643</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biology</subject><subj-group><subject>Ecology</subject><subj-group><subject>Community Ecology</subject><subj-group><subject>Food Web Structure</subject><subject>Trophic Interactions</subject></subj-group></subj-group><subj-group><subject>Ecological Environments</subject><subj-group><subject>Terrestrial Environments</subject></subj-group></subj-group><subj-group><subject>Ecological Metrics</subject><subj-group><subject>Species Diversity</subject><subject>Species Richness</subject></subj-group></subj-group><subj-group><subject>Plant Ecology</subject><subj-group><subject>Plant-Environment Interactions</subject></subj-group></subj-group><subj-group><subject>Biodiversity</subject><subject>Conservation Science</subject></subj-group></subj-group><subj-group><subject>Genetics</subject><subj-group><subject>Genome-Wide Association Studies</subject></subj-group></subj-group></subj-group></article-categories><title-group><article-title>Assessment of the Food Habits of the Moroccan Dorcas Gazelle in M’Sabih Talaa, West Central Morocco, Using the <italic>trn</italic>L Approach</article-title><alt-title alt-title-type="running-head">Dorcas Gazelle’s Diet as Reaveled by <italic>trn</italic>L Approach</alt-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Ait Baamrane</surname><given-names>Moulay Abdeljalil</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Shehzad</surname><given-names>Wasim</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Ouhammou</surname><given-names>Ahmed</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author"><name><surname>Abbad</surname><given-names>Abdelaziz</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author"><name><surname>Naimi</surname><given-names>Mohamed</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Coissac</surname><given-names>Eric</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Taberlet</surname><given-names>Pierre</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Znari</surname><given-names>Mohammed</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>Laboratoire Biodiversité et Dynamique des Ecosystèmes [BioDEcos], Faculté des Sciences-Semlalia, Université Cadi Ayyad, Marrakech, Morocco</addr-line></aff><aff id="aff2"><label>2</label><addr-line>Laboratoire d’Ecologie Alpine [LECA], CNRS UMR 5553, Université Joseph Fourier, Grenoble, France</addr-line></aff><aff id="aff3"><label>3</label><addr-line>Laboratoire Ecologie et Environnement [L2E], Faculté des Sciences-Semlalia, Université Cadi Ayyad, Marrakech, Morocco</addr-line></aff><aff id="aff4"><label>4</label><addr-line>Laboratoire de Biotechnologies, Protection et Valorisation des Ressources Végétales [Biotec-VRV], Faculté des Sciences-Semlalia, Université Cadi Ayyad, Marrakech, Morocco</addr-line></aff><contrib-group><contrib contrib-type="editor"><name><surname>Amaral</surname><given-names>Luís A. Nunes</given-names></name><role>Editor</role><xref ref-type="aff" rid="edit1"></xref></contrib></contrib-group><aff id="edit1">Northwestern University, United States of America</aff><author-notes><corresp id="cor1">* E-mail: <email>znarim@gmail.com</email></corresp><fn fn-type="con"><p>Conceived and designed the experiments: MZ MAA PT. Performed the experiments: MAA WS EC. Analyzed the data: MAA PT EC. Contributed reagents/materials/analysis tools: PT. Wrote the paper: MZ MAA. Taxonomic identification: AA AO. Field Assistance: MN. Field sampling: MAA. Revised manuscript and replied to referee’s comments: MZ PT. Laboratory technical assistance: EC.</p></fn></author-notes><pub-date pub-type="collection"><year>2012</year></pub-date><pub-date pub-type="epub"><day>27</day><month>4</month><year>2012</year></pub-date><volume>7</volume><issue>4</issue><elocation-id>e35643</elocation-id><history><date date-type="received"><day>6</day><month>10</month><year>2011</year></date><date date-type="accepted"><day>19</day><month>3</month><year>2012</year></date></history><permissions><copyright-statement>Ait Baamrane et al.</copyright-statement><copyright-year>2012</copyright-year><license xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.</license-p></license></permissions><abstract><p>Food habits of the Moroccan dorcas gazelle, <italic>Gazella dorcas massaesyla,</italic> previously investigated in the 1980s using microhistological fecal analysis, in the M’Sabih Talaa Reserve, west central Morocco, were re-evaluated over three seasons (spring, summer and autumn 2009) using the <italic>trn</italic>L approach to determine the diet composition and its seasonal variation from fecal samples. Taxonomic identification was carried out using the identification originating from the database built from EMBL and the list of plant species within the reserve. The total taxonomic richness in the reserve was 130 instead of 171 species in the 1980s. The diet composition revealed to be much more diversified (71 plant taxa belonging to 57 genus and 29 families) than it was 22 years ago (29 identified taxa). Thirty-four taxa were newly identified in the diet while 13 reported in 1986–87 were not found. Moroccan dorcas gazelle showed a high preference to <italic>Acacia gummifera, Anagallis arvensis</italic>, <italic>Glebionis coronaria, Cladanthus arabicus, Diplotaxis tenuisiliqua, Erodium salzmannii, Limonium thouini, Lotus arenarius and Zizyphus lotus</italic>. Seasonal variations occurred in both number (40–41 taxa in spring-summer and 49 taxa in autumn <italic>vs</italic>. respectively 23–22 and 26 in 1986–1987) and taxonomic type of eaten plant taxa. This dietary diversification could be attributed either to the difference in methods of analysis, <italic>trn</italic>L approach having a higher taxonomic resolution, or a potential change in nutritional quality of plants over time.</p></abstract><counts><page-count count="7"></page-count></counts></article-meta></front><body><sec id="s1"><title>Introduction</title><p>The knowledge of an endangered species diet is of prime importance to understanding its place in a biological community and improves our comprehension of the functioning of the ecosystem as a whole <xref rid="pone.0035643-Duffy1" ref-type="bibr">[1]</xref> which is valuable to structuring effective management plans for the conservation of both ecosystem and animal species <xref rid="pone.0035643-Bradley1" ref-type="bibr">[2]</xref>–<xref rid="pone.0035643-Valentini1" ref-type="bibr">[4]</xref>. Several methods have been developed to evaluate the composition of herbivore diets: direct observation of animal foraging behavior, and indirect methods of dietary reconstitution (fecal based analysis). The direct observation of animals, when possible, is the more accurate sampling method but is exposed to several potential problems. It could be very difficult to identify accurately the items consumed by an individual when dealing with elusive or nocturnal animals, or when an herbivore feeds in complex environments with many plant species that are not separated spatially <xref rid="pone.0035643-Valentini1" ref-type="bibr">[4]</xref>. The presence of the observer can also change the behavior of animals <xref rid="pone.0035643-Gordon1" ref-type="bibr">[5]</xref>. This method is classically time-consuming and the observer can only sample a small number of individuals at a time <xref rid="pone.0035643-Gordon1" ref-type="bibr">[5]</xref>. To mitigate the problems encountered with direct observations, scientists rely on indirect methods of evaluating diet <xref rid="pone.0035643-MorenoBlack1" ref-type="bibr">[6]</xref>, <xref rid="pone.0035643-VanWyk1" ref-type="bibr">[7]</xref>. Feces based analysis represents the most non-invasive used technique. At present, four fecal-based techniques can be distinguished. The microhistological examination of plant cuticle fragments in pellet samples is the most extensively employed technique <xref rid="pone.0035643-Holechek1" ref-type="bibr">[8]</xref>, <xref rid="pone.0035643-McInnis1" ref-type="bibr">[9]</xref> in spite of the considerable amount of training required by this method. The second technique is based on natural alkanes of plant cuticular wax and has been used to estimate diet composition of domestic animals <xref rid="pone.0035643-Duncan1" ref-type="bibr">[10]</xref>–<xref rid="pone.0035643-Salt1" ref-type="bibr">[12]</xref> and, less frequently, of wild herbivores <xref rid="pone.0035643-Bugalho1" ref-type="bibr">[13]</xref>–<xref rid="pone.0035643-Rao1" ref-type="bibr">[15]</xref>. This technique is limited when the animals feed in complex environment <xref rid="pone.0035643-Dove1" ref-type="bibr">[16]</xref>. The Near Infrared Reflectance Spectroscopy (NIRS) is another technique used to predict the composition of herbivores’ diet. However, this method is technically limited by the size and the homogeneity of particles which can bias the analysis <xref rid="pone.0035643-Foley1" ref-type="bibr">[17]</xref>, <xref rid="pone.0035643-Kaneko1" ref-type="bibr">[18]</xref>. Finally, the DNA based technique for species identification is a relatively new concept <xref rid="pone.0035643-Floyd1" ref-type="bibr">[19]</xref>–<xref rid="pone.0035643-Hoss1" ref-type="bibr">[21]</xref>. It provides an alternative mean of studying the diets of wild animals by targeting plant and animal DNA +fragments that are highly variable and that allow taxonomic identification via their “DNA barcode” <xref rid="pone.0035643-Valentini1" ref-type="bibr">[4]</xref>, <xref rid="pone.0035643-Hebert2" ref-type="bibr">[22]</xref>, <xref rid="pone.0035643-Moritz1" ref-type="bibr">[23]</xref>.</p><p>Dorcas gazelle has been classified as Vulnerable by the Species Survival Commission of the World Conservation Union <xref rid="pone.0035643-IUCN1" ref-type="bibr">[24]</xref> since 1988 and considered as endangered in Morocco <xref rid="pone.0035643-Cuzin1" ref-type="bibr">[25]</xref>, <xref rid="pone.0035643-Cuzin2" ref-type="bibr">[26]</xref>. The Moroccan dorcas gazelle (<italic>Gazella dorcas massaesyla</italic>) is endemic to the Atlantic plateaux’s <xref rid="pone.0035643-Alados1" ref-type="bibr">[27]</xref>. The last surviving wild population of this subspecies is gathered in the M’Sabih Talaa Reserve, north of the Atlas Mountains, where live a herd of about 100 individuals <xref rid="pone.0035643-AitBaamrane1" ref-type="bibr">[28]</xref>. Some demographic characteristics of this population were investigated <xref rid="pone.0035643-Loggers1" ref-type="bibr">[29]</xref>, <xref rid="pone.0035643-Marraha1" ref-type="bibr">[30]</xref> and seasonal variation of its food habits was also examined more than 20 years ago (1987) using the microhistological fecal analysis <xref rid="pone.0035643-Loggers2" ref-type="bibr">[31]</xref>. According to this later study, it seems that the Moroccan dorcas gazelle is rather a specialist herbivore feeding on a small subset of plant species independently of their availability.</p><p>Freeland and Jansen <xref rid="pone.0035643-Freeland1" ref-type="bibr">[32]</xref> and Westoby <xref rid="pone.0035643-Westoby1" ref-type="bibr">[33]</xref> have shown that large herbivores maximize nutrient intake by selecting a wide range of forage species because of the complementarity in nutrient availability among plant species. Furthermore, Freeland and Jansen <xref rid="pone.0035643-Freeland1" ref-type="bibr">[32]</xref> have proposed that herbivores avoid exceeding toxic thresholds of secondary plant metabolites by feeding on a variety of plant species. On the basis of crude protein in the feces that were higher than that measured in the plant species, Dorcas gazelle in the Negev desert, Israel, have been suggested to select their diet at the level of plant parts, not species <xref rid="pone.0035643-Henley1" ref-type="bibr">[34]</xref>. In addition, and due to its small body size and its feeding mode of intermediate type «Grazer-Browser», the dorcas gazelle would require food of a relatively high nutritional quality to satisfy its needs which would affect the food items selected.</p><p>In this paper, we present the first use of the increasingly popular non-invasive genetic technique, the <italic>trn</italic>L approach <xref rid="pone.0035643-Kowalczyk1" ref-type="bibr">[35]</xref>–<xref rid="pone.0035643-Valentini2" ref-type="bibr">[40]</xref> to determine composition of the diet and its seasonal variation in the Moroccan dorcas gazelle in the M’Sabih Talaa Reserve. The obtained results are compared to those previously reported by Loggers <xref rid="pone.0035643-Loggers2" ref-type="bibr">[31]</xref> for the same population 22 years ago using the microhistological method. The obtained results will be taken into account in elaborating a conservation and management plan of the studied population and its habitat.</p></sec><sec sec-type="materials|methods" id="s2"><title>Materials and Methods</title><sec id="s2a"><title>Ethics Statement</title><p>There is no need for an ethics statement, as our present research work did not involve capture or any direct manipulation or disturbance of animals. We only collected samples of plants and feces for molecular analyses. The access to the reserve was under permission of the <italic>Haut Commissariat aux Eaux et Forêts et à la Lutte Contre la Désertification</italic> [<italic>HCEFLCD</italic>] that is responsible for the management of protected areas and wildlife in Morocco. For our fieldwork we were not allowed to capture or to disturb gazelles.</p></sec><sec id="s2b"><title>Study Area</title><p>The study was conducted in the M’Sabih Talaa (MT) Reserve, North West of the Atlas Mountains, Morocco (<xref ref-type="fig" rid="pone-0035643-g001">Fig. 1</xref>). The MT Reserve is a part of the Haouz arid plain (31°48′N- 8°30′ W, 380 m a.s.l.), it is situated 68 km west of Marrakech and 80 km south east of Safi. The habitat is dominated by <italic>Stipa retorta</italic> grasslands dotted with <italic>Zizyphus lotus</italic> and <italic>Retama monosperma</italic> shrubs <xref rid="pone.0035643-Loggers2" ref-type="bibr">[31]</xref>. This reserve was created to be a zone of experiment with the aim of testing to what extent some plants (trees, shrubs and herbaceous plants) will resist to the aridity of this area. The reserve is under an arid climate, erratic rains fall between November and March with the average of 238 mm per year (±88.27, n = 52). The temperature ranges from 5°C in January to near 40°C in July and August.</p><fig id="pone-0035643-g001" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0035643.g001</object-id><label>Figure 1</label><caption><title>Map showing the geographic location of the M’Sabih Talaa Reserve, West central Morocco.</title><p>The location of the study site is indicated by the square.</p></caption><graphic xlink:href="pone.0035643.g001"></graphic></fig></sec><sec id="s2c"><title>Feces Sampling and Plant Inventory</title><p>A total of 60 feces samples were collected in three times during the peak of annual vegetation production (spring: 22–27 march, 2009), the middle (summer: 25 July–02 August, 2009), and the end of the dry season (autumn: 15–19 October, 2009) for analysis. The 20 feces samples collected each season were preserved dry in silica gel and the fecal samples older than one week were excluded in order to optimize the cost and benefit of the genetic analyses. Moreover, for each fecal sample, the sampling date and the geographical coordinates were recorded by a GPS receiver (Garmin <italic>eTrex</italic>).</p><p>Samples of all plant species encountered in the reserve in the three studied seasons were collected, identified to the lowest taxonomic level using identification keys <xref rid="pone.0035643-Fennane1" ref-type="bibr">[41]</xref>–<xref rid="pone.0035643-Valds1" ref-type="bibr">[47]</xref> and the list of plant species occurring in the region.</p></sec><sec id="s2d"><title>DNA Extraction from Feces</title><p>All extractions were performed in a room dedicated to nucleic acids extraction. Total DNA was extracted from about 10 mg of feces with the DNeasy Blood and Tissue Kit (QIAgen GmbH, Hilden, Germany), following the manufacturer’s instructions. The DNA extracts were recovered in a total volume of 250 µL. Mock extractions without samples were systematically performed to monitor possible contaminations.</p></sec><sec id="s2e"><title>DNA Amplification</title><p>DNA amplifications were carried out in a final volume of 50 µL, using 4 µL of DNA extract diluted 100 times as template. The amplification mixture contained 1 U of AmpliTaq® Gold DNA Polymerase (Applied Biosystems, Foster City, CA), 10 mM Tris-HCl, 50 mM KCl, 2 mM of MgCl2, 0.2 mM of each dNTP, 0.1 µM of each primer, and 0.005 mg of bovine serum albumin (BSA, Roche Diagnostic, Basel, Switzerland). The mixture was denatured at 95°C for 10 min, followed by 45 cycles of 30 s at 95°C, and 30 s at 55°C; as the target sequences are usually shorter than 100 bp, the elongation step was removed to reduce the +A artifact <xref rid="pone.0035643-Brownstein1" ref-type="bibr">[48]</xref>, <xref rid="pone.0035643-Magnuson1" ref-type="bibr">[49]</xref> that might decrease the efficiency of the first step of the sequencing process (blunt- end ligation). Samples were amplified using three primer pairs (<xref ref-type="table" rid="pone-0035643-t001">Table 1</xref>). The first pair (<italic>g</italic> and <italic>h</italic>) corresponds to a universal approach, and targeted the P6 loop region of the <italic>trn</italic>L (UAA) intron <xref rid="pone.0035643-Taberlet1" ref-type="bibr">[39]</xref>. In order to increase the resolution of the analysis, two other primer pairs were used. Both targeted the first internal transcribed spacer (ITS1) of nuclear ribosomal DNA, for Poaceae (ITS1-F and ITS1Poa-R) and for Asteraceae (ITS1-F and ITS1Ast-R). All primers were modified by the addition of specific tags on the 5′ end to allow the assignment of sequence reads to the relevant sample <xref rid="pone.0035643-Valentini1" ref-type="bibr">[4]</xref>. As a consequence, all the PCR products were tagged identically on both ends. These tags were composed of CC on the 5′ end followed by nine variable nucleotides that were specific to each sample. The nine variable nucleotides were designed using the oligoTag program (<ext-link ext-link-type="uri" xlink:href="http://www.prabi.grenoble.fr/trac/OBITools">www.prabi.grenoble.fr/trac/OBITools</ext-link>) with at least three differences among the tags, without homopolymers longer than two, and avoiding a C on the 5′ end. All the PCR products from the different samples were first titrated using capillary electrophoresis (QIAxel, QIAgen GmbH, Hilden, Germany) and then mixed together, in equimolar concentration, before the sequencing.</p><table-wrap id="pone-0035643-t001" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0035643.t001</object-id><label>Table 1</label><caption><title>Primers used in the present study.</title></caption><alternatives><graphic id="pone-0035643-t001-1" xlink:href="pone.0035643.t001"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" span="1"></col><col align="center" span="1"></col><col align="center" span="1"></col></colgroup><thead><tr><td align="left" rowspan="1" colspan="1">Name</td><td align="left" rowspan="1" colspan="1">Primer sequence (5′- 3′)</td><td align="left" rowspan="1" colspan="1">Reference</td></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">G</td><td align="left" rowspan="1" colspan="1"><named-content content-type="gene">GGGCAATCCTGAGCCAA</named-content></td><td align="left" rowspan="1" colspan="1">Taberlet et al. (2007)</td></tr><tr><td align="left" rowspan="1" colspan="1">H</td><td align="left" rowspan="1" colspan="1"><named-content content-type="gene">CCATTGAGTCTCTGCACCTATC</named-content></td><td align="left" rowspan="1" colspan="1">Taberlet et al. (2007)</td></tr><tr><td align="left" rowspan="1" colspan="1">ITS1-F</td><td align="left" rowspan="1" colspan="1"><named-content content-type="gene">GATATCCGTTGCCGAGAGTC</named-content></td><td align="left" rowspan="1" colspan="1">This study</td></tr><tr><td align="left" rowspan="1" colspan="1">ITS1Poa-R</td><td align="left" rowspan="1" colspan="1"><named-content content-type="gene">CCGAAGGCGTCAAGGAACAC</named-content></td><td align="left" rowspan="1" colspan="1">This study</td></tr><tr><td align="left" rowspan="1" colspan="1">ITS1Ast-R</td><td align="left" rowspan="1" colspan="1"><named-content content-type="gene">CGGCACGGCATGTGCCAAGG</named-content></td><td align="left" rowspan="1" colspan="1">This study</td></tr></tbody></table></alternatives></table-wrap></sec><sec id="s2f"><title>DNA Sequencing</title><p>The sequencing was carried out on the Illumina/Solexa Genome Analyzer IIx (Illumina, San Diego, California), using the Paired-End Cluster Generation Kit V4 and the Sequencing Kit V4 (Illumina, San Diego, California), and following manufacturer’s instructions. A total of 108 nucleotides were sequenced on each extremity of the DNA fragments.</p></sec><sec id="s2g"><title>Sequence Analysis and Taxon Assignation</title><p>The sequence reads were analyzed using the OBITools (<ext-link ext-link-type="uri" xlink:href="http://www.prabi.grenoble.fr/trac/OBITools">www.prabi.grenoble.fr/trac/OBITools</ext-link>). First, the direct and reverse reads corresponding to a single molecule were aligned and merged using the solexaPairEnd program, taking into account quality data during the alignment and the consensus computation. Then, primers and tags were identified using the ngsfilter program. Only sequences with perfect match on tags and a maximum of two errors on primers were taken into account. The amplified regions, excluding primers and tags, were kept for further analysis. Strictly identical sequences were clustered together using the obiuniq program, keeping the information about their distribution among samples. Sequences shorter than 10 bp, or containing nucleotides other than A, C, G and T, or with occurrence lower or equal to 10 were excluded using the obigrep program. Taxon assignation was achieved using the EcoTag program <xref rid="pone.0035643-Pegard1" ref-type="bibr">[36]</xref>. EcoTag relies on an exact global alignment algorithm <xref rid="pone.0035643-Needleman1" ref-type="bibr">[50]</xref> to find highly similar sequences in the reference database. This database was built by extracting the P6 loop of the <italic>trn</italic>L intron from EMBL nucleotide library using the ecoPCR program <xref rid="pone.0035643-Ficetola1" ref-type="bibr">[51]</xref>. A unique taxon was assigned to each unique sequence. This unique taxon corresponds to the last common ancestor node in the NCBI taxonomic tree of all the taxids annotating the sequences of the reference database that matched against the query sequence. Automatically assigned taxonomic identification were then manually curated to further eliminate a few sequences that probably resulted either from PCR artifacts or that did not correspond to any plant P6 loop or ITS1 sequences present in the EMBL database (homology <0.9). Sequences with a total number of occurrence lower than 1/1000 for the P6 loop and ITS1 (Poaceae), or lower than 1/100 for ITS1 (Asteraceae) were also removed. Finally, the comparison between (i) the identification originating from the database built from EMBL and (ii) the list of plant species occurring within the geographic range of the gazelles allowed improving the final identification by excluding three taxa (<italic>Cedrus sp</italic>., <italic>Arachis sp</italic>., <italic>Actinidia sp</italic>.) observed at very low percentage, that are not present in the area, and that corresponded to obvious contaminations.</p></sec></sec><sec id="s3"><title>Results</title><p>The 60 fecal pellet samples analyzed were successfully typed at the <italic>trn</italic>L locus and gave consistent results. For all these 60 samples, a total of 859933 sequence reads were obtained, with an average of 14332.22±8635.58 sequence reads per sample.</p><p>The three seasons DNA-based diet analyses of the Moroccan dorcas gazelle from the MT Reserve are summarized in <xref ref-type="supplementary-material" rid="pone.0035643.s001">Table S1</xref>. The main food composition on the studied three seasons consisted of 71 plant taxa, belonging to 57 genera and 29 families. Sixty-three percent of plants were identified at species level, 83% at genus level and 100% at their family level. The dicotyledons were dominant in all samples, with occurrence frequencies of 77.5% in spring, 85.4% in summer and 73.5% in autumn. Herbs prevailed (about 85.6%) in the diet of the Moroccan dorcas gazelle and were more frequently eaten in spring and autumn and relatively less in summer (Occurrence frequencies of 87.5 and 91.2 vs. 78%).</p><p>In spring, the diet is based on 40 taxa with only 25% of them (7 species: <italic>Anagallis arvensis, Limonium thouini, Acacia gummifera, Erodium salzmannii, Lotus arenarius, Diplotaxis tenuisiliqua, Eruca sativa</italic>, 1 taxon belonging to the genus <italic>Diplotaxis</italic> and 2 unidentified taxa of the family Brassicaceae) occurring at least in 50% of samples. In summer, gazelle’s food was made of 41 taxa with only 9 taxa present in the half of considered samples (4 species: <italic>Glebionis coronaria, Cladanthus arabicus, Diplotaxis tenuisiliqua, Erodium salzmannii, Zizyphus lotus</italic>,1 taxon of the genus <italic>Alyssum</italic> and 3 taxa belonging respectively to three families: Amaranthaceae, Asteraceae and Brassicaceae). In autumn, dorcas gazelle feed on 49 taxa of which only 18% occurring in at least 50% of samples (<italic>Glebionis coronaria, Cladanthus arabicus, Acacia gummifera, Erodium salzmannii, Zizyphus lotus</italic> and 4 taxa affiliated with four families: Amaranthaceae, Asteraceae, Brassicaceae and Malvaceae). The proportions of the main families occurring in the diet are illustrated in <xref ref-type="fig" rid="pone-0035643-g002">Figure 2</xref>. About 91% of the diet composition is made of plant taxa from four families: Brassicaceae (47%) followed by Rhamnaceae (18%), Asteraceae (14%) and Fabaceae (12%); the remaining proportion included Plumbaginaceae (3%), Solanaceae (2%) and 11 other families with less than 1% each (a total of 4%).</p><fig id="pone-0035643-g002" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0035643.g002</object-id><label>Figure 2</label><caption><title>Proportions of the main plant families in Moroccan dorcas Gazelles diet from West central Morocco.</title><p>Data are based on sequence variation of the P6 loop of the chloroplast <italic>trn</italic>L (UAA) intron using feces (collected in the M’Sabih Talaa Reserve) as source of DNA.</p></caption><graphic xlink:href="pone.0035643.g002"></graphic></fig></sec><sec id="s4"><title>Discussion</title><p>The present study constitutes a re-evaluation of the Moroccan dorcas gazelle diet in the MT Reserve after the first study carried out by Loggers <xref rid="pone.0035643-Loggers2" ref-type="bibr">[31]</xref> in the middle of 1980s using the microhistological examination of fecal material, which is among the most frequently used methods of determining the food habits in large herbivores. However, diets determined by microhistological fecal analysis are not as diverse as those determined by the other more recent methods since several minor forbs were not found in feces <xref rid="pone.0035643-McInnis1" ref-type="bibr">[9]</xref>, <xref rid="pone.0035643-Korfhage1" ref-type="bibr">[52]</xref>, <xref rid="pone.0035643-Vavra1" ref-type="bibr">[53]</xref>. This may be explained partially by differential digestibility among plant species. In fact, it is conceivable that certain species of forbs are entirely digested, leaving no residue in the feces <xref rid="pone.0035643-Johnson1" ref-type="bibr">[54]</xref>, <xref rid="pone.0035643-Slater1" ref-type="bibr">[55]</xref>. In other instances plant fragments were present but were so transparent that cellular structure was not easily recognizable. Other divergences must be attributed to the proportion of the different plant groups in the diets which will be biased towards the most easily identified groups given that a substantial fraction of the stomach content is left unidentified by the microhistological diet analysis. Another bias is due to varying epiderm/mesophyll ratios between taxa <xref rid="pone.0035643-Soininen1" ref-type="bibr">[38]</xref>. Finally, the observer subjectivity in the microhistological identification processes may constitute another general problem <xref rid="pone.0035643-Valentini1" ref-type="bibr">[4]</xref>.</p><p>In the present study, we evaluated the Moroccan dorcas gazelle’s diet using a quite new approach, the <italic>trn</italic>L approach (a DNA-based method). This technique is in most cases applicable to all herbivorous species eating angiosperms and gymnosperms <xref rid="pone.0035643-Valentini1" ref-type="bibr">[4]</xref>. It has been proved to be robust and reliable on the basis the very short length of the amplified region. The primers target highly conserved regions in angiosperms and gymnosperms, preventing strong bias due to primer mismatch in the efficiency of amplifications among species <xref rid="pone.0035643-Taberlet1" ref-type="bibr">[39]</xref>. So, this DNA based technique gave by far a taxonomically more detailed picture of the diet composition than did the microhistological analysis. In this regard, as suggested by Valentini et al. <xref rid="pone.0035643-Valentini1" ref-type="bibr">[4]</xref> and in order to increase the resolution in taxa where sequences do not vary among the species (e.g., Asteraceae, Poaceae), we designed two new primers (see <xref ref-type="table" rid="pone-0035643-t001">table 1</xref>). In spite of all these differences, there was an agreement between this DNA based method and microhistological analysis with respect to the importance of the main plant groups. Also, we can conclude that the large change detected in the Moroccan dorcas gazelle’s food selection cannot be attributed only to the bias due to the microhistological technique. This is suggested by the fact that only an average of 10 taxa were common between the two compared periods (1986–87 and 2009) and up to 34 taxa was newly identified in the diet while 13 were not encountered in the diet in 2009. These latters have probably become less abundant or totally disappeared from the reserve. The decrease in the plant specific richness in the reserve during the last two decades as indicated by the lower number of plant species in 2009 (130 vs. 170 species in the 1980s), could be attributed partially to the effect of successive drought periods, but also to the differences in phenology between the plant species which requires a more complete survey of the plant inventory throughout the whole year.</p><p>Overall, when comparing our results to those reported by Loggers <xref rid="pone.0035643-Loggers2" ref-type="bibr">[31]</xref> for the same population in the MT Reserve, 22 years ago (1986–1987), the diet composition revealed to be presently (2009) much more diversified (71 vs. 29 identified taxa) with 40–41 taxa in spring- summer and 49 taxa in autumn vs. respectively 23–22 and 26 in 1986–1987. The corresponding specific richnesses in the whole reserve were 130 and 171 species, respectively. Identified taxa differed markedly between the two periods (2009 and 1986–87) with numbers of common taxa of only 8, 10 and 11, for spring, summer and autumn, respectively. The main shared taxa are one grass species (<italic>Stipa retorta</italic>), three forb taxa (<italic>Cladanthus arabicus, Plantago spp.</italic> and <italic>Medicago spp</italic>.), and three shrub species (<italic>Acacia gummifera, Atriplex halimus</italic> and <italic>Zizyphus lotus</italic>).</p><p>The major factors influencing food selection in herbivores are mainly the energy, water and toxic contents of consumed plants (e.g., Pyke <xref rid="pone.0035643-Pyke1" ref-type="bibr">[56]</xref> for a review and Moskovits and Bjorndal <xref rid="pone.0035643-Moskovits1" ref-type="bibr">[57]</xref>, Lagarde et al. <xref rid="pone.0035643-Lagarde1" ref-type="bibr">[58]</xref> and Mason et al. <xref rid="pone.0035643-Mason1" ref-type="bibr">[59]</xref>. Belovsky <xref rid="pone.0035643-Belovsky1" ref-type="bibr">[60]</xref> and Owen-Smith and Novellie <xref rid="pone.0035643-OwenSmith1" ref-type="bibr">[61]</xref> recognized that concentrations of specific nutrients in potential foods may be determinant in diet choice. Henley and Ward <xref rid="pone.0035643-Henley1" ref-type="bibr">[34]</xref> found that fecal crude protein percentage in dorcas gazelle in the Negev desert, Israel, was significantly higher than that of the plant species which, according to these authors, implies that dorcas gazelle have a diet substantially richer in crude protein than the mean quality that is available in the forage. This difference is likely to be due to selection of plant parts that are higher in protein content than the mean quality for the sum of plant parts collected. This suggests that dorcas gazelle may diversify their diet composition in order to by-pass a diet becoming not compatible with its nutritional needs. In the present study, and relatively to the first determination of the diet in the same gazelle population in the 1980s <xref rid="pone.0035643-Loggers2" ref-type="bibr">[31]</xref>, we found that the diet composition has become much more diversified irrespective of the discrepancy in taxonomic resolution between the methods used. Such a diversification might be related to a quantitative and qualitative increase of the food intake which constitutes the common answer of the majority of herbivores to a decrease of the nutritional value of their food as a result of the potential impact of climate change, especially drought and the increased CO<sub>2</sub> concentration of the atmosphere <xref rid="pone.0035643-Coley1" ref-type="bibr">[62]</xref>. Indeed, several studies showed a decrease in the nutritional quality of plants under an atmosphere enriched in CO<sub>2</sub>. This decline of the nutritional quality, especially in leaves, can reach 10–30% of the nitrogen causing an increase in the Carbon/Nitrogen ratio and consequently less nourishing leaves for herbivores <xref rid="pone.0035643-Fajer1" ref-type="bibr">[63]</xref>–<xref rid="pone.0035643-Wong1" ref-type="bibr">[74]</xref>. This can be also perceived in the transformation of carbon hydrates becoming defense elements such as terpens and phenolic compounds <xref rid="pone.0035643-Ayres1" ref-type="bibr">[75]</xref>, <xref rid="pone.0035643-Williams2" ref-type="bibr">[76]</xref> and in condensed tannins which influence the digestibility <xref rid="pone.0035643-Kinney1" ref-type="bibr">[64]</xref>, <xref rid="pone.0035643-Norby1" ref-type="bibr">[77]</xref>, <xref rid="pone.0035643-Roth2" ref-type="bibr">[78]</xref>. Elevated CO<sub>2</sub> should also cause a slight decrease in nitrogen-based defenses (e.g., alkaloids) and a slight increase in carbon-based defenses (e.g., tannins) in diverse plants species <xref rid="pone.0035643-Coley1" ref-type="bibr">[62]</xref>. This would have certainly an effect on their selection by gazelles, in particular in period of drought where the food consumption would become more important because of the decrease of their nutritional quality.</p><p>Some plant species presenting a risk of toxicity for mammalian herbivores such as <italic>Anagallis arvensis, Lotus arenarius</italic> and <italic>Chenopodium murale</italic><xref rid="pone.0035643-Forshaw1" ref-type="bibr">[79]</xref>–<xref rid="pone.0035643-Knight1" ref-type="bibr">[81]</xref> were detected in the diet of dorcas gazelle in the MT Reserve, suggesting that dorcas gazelle may even consume toxic plants which could be rich in some potentially required nutrients. This could be also interpreted as an anti-parasitic strategy. However, it has been reported that dorcas gazelle in the Negev desert can feed on the lily <italic>Pancratium sickenbergeri</italic> (Amarylidaceae) that is very toxic due to a high content of oxalate calcium; but the gazelle seems to eat only those parts of the leaves where calcium oxalate raphides are absent <xref rid="pone.0035643-Ward1" ref-type="bibr">[82]</xref>.</p><p>From the viewpoint of range management and conservation of this endangered remnant Moroccan dorcas gazelle population, it should be necessary to preserve the floristic diversity existing in the reserve. The shrub species, namely <italic>Acacia gummifera</italic>, <italic>Atriplex halimus</italic> and <italic>Zizyphus lotus</italic>, which are of a considerable nutritional importance during the dry season, should be particularly promoted in the reforestation programs. Moreover, as it has been suggested that the MT dorcas gazelle population should be split into two subpopulations in order to reduce its susceptibility to environmental stochasticity <xref rid="pone.0035643-Cuzin3" ref-type="bibr">[83]</xref> the selection of the new potential site which would host the translocated subpopulation, should have similar diverse plant communities including most of the eaten species.</p><p>“Data deposited in the Dryad Repository: <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.5061/dryad.6r42r366">http://dx.doi.org/10.5061/dryad.6r42r366</ext-link>”.</p></sec><sec sec-type="supplementary-material" id="s5"><title>Supporting Information</title><supplementary-material content-type="local-data" id="pone.0035643.s001"><label>Table S1</label><caption><p><bold>Plant taxa identified in the Moroccan dorcas gazelle’s diet in the M’Sabih Talaa reserve, Morocco.</bold> Data are based on sequence variation of the P6 loop of the chloroplast <italic>trnL</italic> (UAA) intron using feces as a source of DNA. %OF: occurrence frequency in %.</p><p>(XLS)</p></caption><media xlink:href="pone.0035643.s001.xls"><caption><p>Click here for additional data file.</p></caption></media></supplementary-material></sec></body><back><ack><p>We are very grateful to the staff of the M’Sabih Talaa Reserve for their excellent assistance during the field work. We are also indebted to the <italic>Haut Commissariat aux Eaux et Forêts et à la Lutte Contre la Désertification [HCEFLCD], Morocco</italic>, for providing us with required permits. We also thank Mr. Said El Mercht, Director of the <italic>Centre Régional de la Recherche Forestière</italic> [<italic>CRRF</italic>], Marrakech, and Mr. Mohamed Radi, Chief of the <italic>Service Provincial des Eaux et Forêts</italic> [<italic>SPEFS</italic>], Safi, and his staff for their support during the present study. We thank an anonymous reviewer for very useful comments to improve the manuscript.</p></ack><fn-group><fn fn-type="COI-statement"><p><bold>Competing Interests: </bold>The authors have declared that no competing interests exist.</p></fn><fn fn-type="financial-disclosure"><p><bold>Funding: </bold>The present work has been funded by People’s Trust for Endangered Species (PTES, UK) (Project titled: Conservation and management of an isolated population of Moroccan Dorcas gazelles north west of the Atlas mountains, awarded on November 2008. <ext-link ext-link-type="uri" xlink:href="http://www.ptes.org/files/853_record_of_historic_grants_awarded_2000.pdf">www.ptes.org/files/853_record_of_historic_grants_awarded_2000.pdf</ext-link>). Molecular analyses were funded by the Laboratory of Alpine Ecology (LECA), Joseph Fourier University, Grenoble, France, <ext-link ext-link-type="uri" xlink:href="http://www-leca.ujf-grenoble.fr/equipes/emabio_composition.htm">http://www-leca.ujf-grenoble.fr/equipes/emabio_composition.htm</ext-link>, in collaboration with one of the co-authors, Dr. Taberlet. 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