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Microbial Characterization of Qatari Barchan Sand Dunes

Identifieur interne : 000443 ( Pmc/Curation ); précédent : 000442; suivant : 000444

Microbial Characterization of Qatari Barchan Sand Dunes

Auteurs : Sara Abdul Majid [Qatar] ; Michael F. Graw [États-Unis] ; Aspassia D. Chatziefthimiou [Qatar] ; Hanh Nguyen [États-Unis] ; Renee Richer [Qatar] ; Michel Louge [États-Unis] ; Ali A. Sultan [Qatar] ; Patrick Schloss [États-Unis] ; Anthony G. Hay [États-Unis]

Source :

RBID : PMC:5031452

Abstract

This study represents the first characterization of sand microbiota in migrating barchan sand dunes. Bacterial communities were studied through direct counts and cultivation, as well as 16S rRNA gene and metagenomic sequence analysis to gain an understanding of microbial abundance, diversity, and potential metabolic capabilities. Direct on-grain cell counts gave an average of 5.3 ± 0.4 x 105 cells g-1 of sand. Cultured isolates (N = 64) selected for 16S rRNA gene sequencing belonged to the phyla Actinobacteria (58%), Firmicutes (27%) and Proteobacteria (15%). Deep-sequencing of 16S rRNA gene amplicons from 18 dunes demonstrated a high relative abundance of Proteobacteria, particularly enteric bacteria, and a dune-specific-pattern of bacterial community composition that correlated with dune size. Shotgun metagenome sequences of two representative dunes were analyzed and found to have similar relative bacterial abundance, though the relative abundances of eukaryotic, viral and enterobacterial sequences were greater in sand from the dune closer to a camel-pen. Functional analysis revealed patterns similar to those observed in desert soils; however, the increased relative abundance of genes encoding sporulation and dormancy are consistent with the dune microbiome being well-adapted to the exceptionally hyper-arid Qatari desert.


Url:
DOI: 10.1371/journal.pone.0161836
PubMed: 27655399
PubMed Central: 5031452

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Le document en format XML

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<p>This study represents the first characterization of sand microbiota in migrating barchan sand dunes. Bacterial communities were studied through direct counts and cultivation, as well as 16S rRNA gene and metagenomic sequence analysis to gain an understanding of microbial abundance, diversity, and potential metabolic capabilities. Direct on-grain cell counts gave an average of 5.3 ± 0.4 x 10
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(27%) and
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, particularly enteric bacteria, and a dune-specific-pattern of bacterial community composition that correlated with dune size. Shotgun metagenome sequences of two representative dunes were analyzed and found to have similar relative bacterial abundance, though the relative abundances of eukaryotic, viral and enterobacterial sequences were greater in sand from the dune closer to a camel-pen. Functional analysis revealed patterns similar to those observed in desert soils; however, the increased relative abundance of genes encoding sporulation and dormancy are consistent with the dune microbiome being well-adapted to the exceptionally hyper-arid Qatari desert.</p>
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<subject>DNA cloning</subject>
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<article-title>Microbial Characterization of Qatari Barchan Sand Dunes</article-title>
<alt-title alt-title-type="running-head">Microbiology of Qatari Barchan Sand Dunes</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Abdul Majid</surname>
<given-names>Sara</given-names>
</name>
<xref ref-type="aff" rid="aff001">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Graw</surname>
<given-names>Michael F.</given-names>
</name>
<xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="currentaff001">
<sup>¤a</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chatziefthimiou</surname>
<given-names>Aspassia D.</given-names>
</name>
<xref ref-type="aff" rid="aff001">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nguyen</surname>
<given-names>Hanh</given-names>
</name>
<xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Richer</surname>
<given-names>Renee</given-names>
</name>
<xref ref-type="aff" rid="aff001">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="currentaff002">
<sup>¤b</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Louge</surname>
<given-names>Michel</given-names>
</name>
<xref ref-type="aff" rid="aff003">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sultan</surname>
<given-names>Ali A.</given-names>
</name>
<xref ref-type="aff" rid="aff001">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Schloss</surname>
<given-names>Patrick</given-names>
</name>
<xref ref-type="aff" rid="aff004">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hay</surname>
<given-names>Anthony G.</given-names>
</name>
<xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="cor001">*</xref>
</contrib>
</contrib-group>
<aff id="aff001">
<label>1</label>
<addr-line>Department of Research, Weill Cornell Medical Qatar, Qatar Foundation, Doha, Qatar</addr-line>
</aff>
<aff id="aff002">
<label>2</label>
<addr-line>Department of Microbiology, Cornell University, Ithaca, New York, United States of America</addr-line>
</aff>
<aff id="aff003">
<label>3</label>
<addr-line>Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, New York, United States of America</addr-line>
</aff>
<aff id="aff004">
<label>4</label>
<addr-line>Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, United States of America</addr-line>
</aff>
<contrib-group>
<contrib contrib-type="editor">
<name>
<surname>Green</surname>
<given-names>Stefan J.</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"></xref>
</contrib>
</contrib-group>
<aff id="edit1">
<addr-line>University of Illinois at Chicago, UNITED STATES</addr-line>
</aff>
<author-notes>
<fn fn-type="COI-statement" id="coi001">
<p>
<bold>Competing Interests: </bold>
The authors have declared that no competing interests exist.</p>
</fn>
<fn fn-type="con">
<p>
<list list-type="simple">
<list-item>
<p>
<bold>Conceptualization:</bold>
AGH ML.</p>
</list-item>
<list-item>
<p>
<bold>Data curation:</bold>
SAM MFG AGH.</p>
</list-item>
<list-item>
<p>
<bold>Formal analysis:</bold>
SAM AGH MFG ADC HN.</p>
</list-item>
<list-item>
<p>
<bold>Funding acquisition:</bold>
ML AGH RR AAS.</p>
</list-item>
<list-item>
<p>
<bold>Investigation:</bold>
SAM AGH ML ADC.</p>
</list-item>
<list-item>
<p>
<bold>Methodology:</bold>
SAM AGH MFG PS.</p>
</list-item>
<list-item>
<p>
<bold>Project administration:</bold>
AAS RR.</p>
</list-item>
<list-item>
<p>
<bold>Resources:</bold>
RR AAS AGH.</p>
</list-item>
<list-item>
<p>
<bold>Software:</bold>
MFG PS SAM.</p>
</list-item>
<list-item>
<p>
<bold>Supervision:</bold>
AGH ML RR AAS ADC.</p>
</list-item>
<list-item>
<p>
<bold>Visualization:</bold>
SAM MFG.</p>
</list-item>
<list-item>
<p>
<bold>Writing – original draft:</bold>
SAM MFG AGH.</p>
</list-item>
<list-item>
<p>
<bold>Writing – review & editing:</bold>
SAM AGH MFG ML HN RR AAS ADC PS.</p>
</list-item>
</list>
</p>
</fn>
<fn fn-type="current-aff" id="currentaff001">
<label>¤a</label>
<p>Current address: College of Earth, Ocean, and Atmospheric Science, Oregon State University, Corvallis, Oregon, United States of America</p>
</fn>
<fn fn-type="current-aff" id="currentaff002">
<label>¤b</label>
<p>Current address: Department of Biological Sciences, University of Wisconsin Marinette, Wisconsin, United States of America</p>
</fn>
<corresp id="cor001">* E-mail:
<email>agh5@cornell.edu</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>9</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection">
<year>2016</year>
</pub-date>
<volume>11</volume>
<issue>9</issue>
<elocation-id>e0161836</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>1</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>8</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>© 2016 Abdul Majid et al</copyright-statement>
<copyright-year>2016</copyright-year>
<copyright-holder>Abdul Majid et al</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<license-p>This is an open access article distributed under the terms of the
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>
, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="pone.0161836.pdf"></self-uri>
<abstract>
<p>This study represents the first characterization of sand microbiota in migrating barchan sand dunes. Bacterial communities were studied through direct counts and cultivation, as well as 16S rRNA gene and metagenomic sequence analysis to gain an understanding of microbial abundance, diversity, and potential metabolic capabilities. Direct on-grain cell counts gave an average of 5.3 ± 0.4 x 10
<sup>5</sup>
cells g
<sup>-1</sup>
of sand. Cultured isolates (N = 64) selected for 16S rRNA gene sequencing belonged to the phyla
<italic>Actinobacteria</italic>
(58%),
<italic>Firmicutes</italic>
(27%) and
<italic>Proteobacteria</italic>
(15%). Deep-sequencing of 16S rRNA gene amplicons from 18 dunes demonstrated a high relative abundance of
<italic>Proteobacteria</italic>
, particularly enteric bacteria, and a dune-specific-pattern of bacterial community composition that correlated with dune size. Shotgun metagenome sequences of two representative dunes were analyzed and found to have similar relative bacterial abundance, though the relative abundances of eukaryotic, viral and enterobacterial sequences were greater in sand from the dune closer to a camel-pen. Functional analysis revealed patterns similar to those observed in desert soils; however, the increased relative abundance of genes encoding sporulation and dormancy are consistent with the dune microbiome being well-adapted to the exceptionally hyper-arid Qatari desert.</p>
</abstract>
<funding-group>
<award-group id="award001">
<funding-source>
<institution-wrap>
<institution-id institution-id-type="funder-id">http://dx.doi.org/10.13039/100008982</institution-id>
<institution>Qatar National Research Fund</institution>
</institution-wrap>
</funding-source>
<award-id>6-059-2-023</award-id>
<principal-award-recipient>
<name>
<surname>Louge</surname>
<given-names>Michel</given-names>
</name>
</principal-award-recipient>
</award-group>
<award-group id="award002">
<funding-source>
<institution-wrap>
<institution-id institution-id-type="funder-id">http://dx.doi.org/10.13039/100008982</institution-id>
<institution>Qatar National Research Fund</institution>
</institution-wrap>
</funding-source>
<award-id>09-546-2-206</award-id>
<principal-award-recipient>
<name>
<surname>Louge</surname>
<given-names>Michel</given-names>
</name>
</principal-award-recipient>
</award-group>
<funding-statement>This work was supported by The Qatar National Research Fund as part of the National Priorities Research Program [09-546-2-206] AND [06-059-2-023]. Dr. Michel Louge received the funding. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement>
</funding-group>
<counts>
<fig-count count="6"></fig-count>
<table-count count="4"></table-count>
<page-count count="22"></page-count>
</counts>
<custom-meta-group>
<custom-meta id="data-availability">
<meta-name>Data Availability</meta-name>
<meta-value>All 16S rRNA gene sequences of isolates files are available from the GenBank database (accession numbers KT187327-KT187390). All 16S rRNA gene deep-sequencing and metagenome files are available from NCBI's Sequence Read Archive (SRA) under accession number SRP060350.</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
<notes>
<title>Data Availability</title>
<p>All 16S rRNA gene sequences of isolates files are available from the GenBank database (accession numbers KT187327-KT187390). All 16S rRNA gene deep-sequencing and metagenome files are available from NCBI's Sequence Read Archive (SRA) under accession number SRP060350.</p>
</notes>
</front>
</pmc>
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