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iTRAQ-Based Quantitative Proteomic Analysis of Cotton Roots and Leaves Reveals Pathways Associated with Salt Stress

Identifieur interne : 000371 ( Pmc/Curation ); précédent : 000370; suivant : 000372

iTRAQ-Based Quantitative Proteomic Analysis of Cotton Roots and Leaves Reveals Pathways Associated with Salt Stress

Auteurs : Tingting Chen ; Lei Zhang ; Haihong Shang ; Shaodong Liu ; Jun Peng ; Wankui Gong ; Yuzhen Shi ; Siping Zhang ; Junwen Li ; Juwu Gong ; Qun Ge ; Aiying Liu ; Huijuan Ma ; Xinhua Zhao ; Youlu Yuan

Source :

RBID : PMC:4739606

Abstract

Salinity is a major abiotic stress that affects plant growth and development. In this study, we performed a proteomic analysis of cotton roots and leaf tissue following exposure to saline stress. 611 and 1477 proteins were differentially expressed in the roots and leaves, respectively. In the roots, 259 (42%) proteins were up-regulated and 352 (58%) were down-regulated. In the leaves, 748 (51%) proteins were up-regulated and 729 (49%) were down-regulated. On the basis of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, we concluded that the phenylalanine metabolism and starch and sucrose metabolism were active for energy homeostasis to cope with salt stress in cotton roots. Moreover, photosynthesis, pyruvate metabolism, glycolysis / gluconeogenesis, carbon fixation in photosynthetic organisms and phenylalanine metabolism were inhabited to reduce energy consumption. Characterization of the signaling pathways will help elucidate the mechanism activated by cotton in response to salt stress.


Url:
DOI: 10.1371/journal.pone.0148487
PubMed: 26841024
PubMed Central: 4739606

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<p>Salinity is a major abiotic stress that affects plant growth and development. In this study, we performed a proteomic analysis of cotton roots and leaf tissue following exposure to saline stress. 611 and 1477 proteins were differentially expressed in the roots and leaves, respectively. In the roots, 259 (42%) proteins were up-regulated and 352 (58%) were down-regulated. In the leaves, 748 (51%) proteins were up-regulated and 729 (49%) were down-regulated. On the basis of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, we concluded that the phenylalanine metabolism and starch and sucrose metabolism were active for energy homeostasis to cope with salt stress in cotton roots. Moreover, photosynthesis, pyruvate metabolism, glycolysis / gluconeogenesis, carbon fixation in photosynthetic organisms and phenylalanine metabolism were inhabited to reduce energy consumption. Characterization of the signaling pathways will help elucidate the mechanism activated by cotton in response to salt stress.</p>
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</subj-group>
</subj-group>
</subj-group>
<subj-group subj-group-type="Discipline-v3">
<subject>Physical Sciences</subject>
<subj-group>
<subject>Chemistry</subject>
<subj-group>
<subject>Organic Chemistry</subject>
<subj-group>
<subject>Organic Compounds</subject>
<subj-group>
<subject>Amino Acids</subject>
<subj-group>
<subject>Aromatic Amino Acids</subject>
<subj-group>
<subject>Phenylalanine</subject>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
<subj-group subj-group-type="Discipline-v3">
<subject>Biology and Life Sciences</subject>
<subj-group>
<subject>Biochemistry</subject>
<subj-group>
<subject>Proteins</subject>
<subj-group>
<subject>Amino Acids</subject>
<subj-group>
<subject>Aromatic Amino Acids</subject>
<subj-group>
<subject>Phenylalanine</subject>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
<subj-group subj-group-type="Discipline-v3">
<subject>Biology and Life Sciences</subject>
<subj-group>
<subject>Biochemistry</subject>
<subj-group>
<subject>Metabolism</subject>
<subj-group>
<subject>Amino Acid Metabolism</subject>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
<subj-group subj-group-type="Discipline-v3">
<subject>Biology and Life Sciences</subject>
<subj-group>
<subject>Biochemistry</subject>
<subj-group>
<subject>Biosynthesis</subject>
</subj-group>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>iTRAQ-Based Quantitative Proteomic Analysis of Cotton Roots and Leaves Reveals Pathways Associated with Salt Stress</article-title>
<alt-title alt-title-type="running-head">Proteomic Analysis of Salt Tolerance in Cotton</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Chen</surname>
<given-names>Tingting</given-names>
</name>
<xref ref-type="aff" rid="aff001"></xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhang</surname>
<given-names>Lei</given-names>
</name>
<xref ref-type="aff" rid="aff001"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shang</surname>
<given-names>Haihong</given-names>
</name>
<xref ref-type="aff" rid="aff001"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Shaodong</given-names>
</name>
<xref ref-type="aff" rid="aff001"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Peng</surname>
<given-names>Jun</given-names>
</name>
<xref ref-type="aff" rid="aff001"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gong</surname>
<given-names>Wankui</given-names>
</name>
<xref ref-type="aff" rid="aff001"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shi</surname>
<given-names>Yuzhen</given-names>
</name>
<xref ref-type="aff" rid="aff001"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Siping</given-names>
</name>
<xref ref-type="aff" rid="aff001"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Junwen</given-names>
</name>
<xref ref-type="aff" rid="aff001"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gong</surname>
<given-names>Juwu</given-names>
</name>
<xref ref-type="aff" rid="aff001"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ge</surname>
<given-names>Qun</given-names>
</name>
<xref ref-type="aff" rid="aff001"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Aiying</given-names>
</name>
<xref ref-type="aff" rid="aff001"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ma</surname>
<given-names>Huijuan</given-names>
</name>
<xref ref-type="aff" rid="aff001"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Xinhua</given-names>
</name>
<xref ref-type="corresp" rid="cor001">*</xref>
<xref ref-type="aff" rid="aff001"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yuan</surname>
<given-names>Youlu</given-names>
</name>
<xref ref-type="corresp" rid="cor001">*</xref>
<xref ref-type="aff" rid="aff001"></xref>
</contrib>
</contrib-group>
<aff id="aff001">
<addr-line>State Key Laboratory of Cotton Biology, Institute of Cotton Research of CAAS, Anyang, 455000, P. R. China</addr-line>
</aff>
<contrib-group>
<contrib contrib-type="editor">
<name>
<surname>Ma</surname>
<given-names>Wujun</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"></xref>
</contrib>
</contrib-group>
<aff id="edit1">
<addr-line>Murdoch University, AUSTRALIA</addr-line>
</aff>
<author-notes>
<fn fn-type="conflict" id="coi001">
<p>
<bold>Competing Interests: </bold>
The authors have declared that no competing interests exist.</p>
</fn>
<fn fn-type="con" id="contrib001">
<p>Conceived and designed the experiments: TTC LZ XHZ YLY. Performed the experiments: JWL JWG QG AYL. Analyzed the data: HHS YZS WKG JP. Contributed reagents/materials/analysis tools: SDL SPZ HJM. Wrote the paper: TTC LZ XHZ YLY.</p>
</fn>
<corresp id="cor001">* E-mail:
<email>zhaoxh510@163.com</email>
(XHZ);
<email>yylcri@126.com</email>
(YLY)</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>3</day>
<month>2</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection">
<year>2016</year>
</pub-date>
<volume>11</volume>
<issue>2</issue>
<elocation-id>e0148487</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>8</month>
<year>2015</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>1</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>© 2016 Chen et al</copyright-statement>
<copyright-year>2016</copyright-year>
<copyright-holder>Chen 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:type="simple" xlink:href="pone.0148487.pdf"></self-uri>
<abstract>
<p>Salinity is a major abiotic stress that affects plant growth and development. In this study, we performed a proteomic analysis of cotton roots and leaf tissue following exposure to saline stress. 611 and 1477 proteins were differentially expressed in the roots and leaves, respectively. In the roots, 259 (42%) proteins were up-regulated and 352 (58%) were down-regulated. In the leaves, 748 (51%) proteins were up-regulated and 729 (49%) were down-regulated. On the basis of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, we concluded that the phenylalanine metabolism and starch and sucrose metabolism were active for energy homeostasis to cope with salt stress in cotton roots. Moreover, photosynthesis, pyruvate metabolism, glycolysis / gluconeogenesis, carbon fixation in photosynthetic organisms and phenylalanine metabolism were inhabited to reduce energy consumption. Characterization of the signaling pathways will help elucidate the mechanism activated by cotton in response to salt stress.</p>
</abstract>
<funding-group>
<funding-statement>This work was supported by the National Natural Science Foundation of China (31301262 and 31501343).</funding-statement>
</funding-group>
<counts>
<fig-count count="4"></fig-count>
<table-count count="1"></table-count>
<page-count count="15"></page-count>
</counts>
<custom-meta-group>
<custom-meta id="data-availability">
<meta-name>Data Availability</meta-name>
<meta-value>All relevant data are within the paper and its Supporting Information files.</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
<notes>
<title>Data Availability</title>
<p>All relevant data are within the paper and its Supporting Information files.</p>
</notes>
</front>
</pmc>
</record>

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