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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Shahid Bahonar University of Kerman and Iranian Biotechnology Society</PublisherName>
				<JournalTitle>Agricultural Biotechnology Journal</JournalTitle>
				<Issn>2228-6705</Issn>
				<Volume>5</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2013</Year>
					<Month>08</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Proteome analyses of drought signaling in rice root</ArticleTitle>
<VernacularTitle>Proteome analyses of drought signaling in rice root</VernacularTitle>
			<FirstPage>87</FirstPage>
			<LastPage>100</LastPage>
			<ELocationID EIdType="pii">1203</ELocationID>
			
<ELocationID EIdType="doi">10.22103/jab.2013.1203</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Neda</FirstName>
					<LastName>Soltani</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Qasem</FirstName>
					<LastName>Hosseini Salkadeh</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2012</Year>
					<Month>07</Month>
					<Day>08</Day>
				</PubDate>
			</History>
		<Abstract>Rice (&lt;em&gt;Oryza sativa &lt;/em&gt;L. cv. IR64) was grown in split-root systems in order to analyze long-distance drought signaling within root systems. This in turn underpins how root systems in heterogeneous soils adapt to drought. The approach was to compare four root tissues: Well watered (WW), water deficit (WD), split-root systems where one half was well watered (spWW) and the other half water deficit (spWD). This was specifically aimed at identifying how drought root tissues altered the proteome of adjacent wet roots by hormone signals and secondly, how wet roots reciprocally affected dry roots hydraulically. Using a 2-DE based proteomics approach, 738 protein spots were reproducibly detected, Thirty-two proteins showed reproducible and statistically significant changes in response to drought. Of them, 13 protein spots up-regulated in WD and spWD treatments. Of them 9 protein spots up-regulated  in WD, spWD and spWW treatments, 8 protein spots not detected in WW and 2 protein spots just detected in WD. Specific functional groups changed consistently in drought. Pathogenesis-related proteins were generally up-regulated in response to drought and heat-shock proteins and thioredoxin were totally absent in roots of fully watered plants.
 </Abstract>
			<OtherAbstract Language="FA">Rice (&lt;em&gt;Oryza sativa &lt;/em&gt;L. cv. IR64) was grown in split-root systems in order to analyze long-distance drought signaling within root systems. This in turn underpins how root systems in heterogeneous soils adapt to drought. The approach was to compare four root tissues: Well watered (WW), water deficit (WD), split-root systems where one half was well watered (spWW) and the other half water deficit (spWD). This was specifically aimed at identifying how drought root tissues altered the proteome of adjacent wet roots by hormone signals and secondly, how wet roots reciprocally affected dry roots hydraulically. Using a 2-DE based proteomics approach, 738 protein spots were reproducibly detected, Thirty-two proteins showed reproducible and statistically significant changes in response to drought. Of them, 13 protein spots up-regulated in WD and spWD treatments. Of them 9 protein spots up-regulated  in WD, spWD and spWW treatments, 8 protein spots not detected in WW and 2 protein spots just detected in WD. Specific functional groups changed consistently in drought. Pathogenesis-related proteins were generally up-regulated in response to drought and heat-shock proteins and thioredoxin were totally absent in roots of fully watered plants.
 </OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Drought</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Split root</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">rice</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">proteomics</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jab.uk.ac.ir/article_1203_491442df5f88c6aa018e86dac21d3606.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
