Global analysis of the Gossypium hirsutum L.Tr

Global analysis of the Gossypium hirsutum L.Tr

ID:40353039

大小:3.61 MB

页数:18页

时间:2019-07-31

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1、Linetal.BMCPlantBiology(2015)15:43DOI10.1186/s12870-015-0433-5RESEARCHARTICLEOpenAccessGlobalanalysisoftheGossypiumhirsutumL.TranscriptomeduringleafsenescencebyRNA-Seq*MinLin,ChaoyouPang,ShuliFan,MeizhenSong,HenglingWeiandShuxunYuAbstractBackground:Leafsenescenceisanimport

2、antdevelopmentalprogrammeddegenerationprocessthatdramaticallyaffectscropqualityandyield.Theregulationofsenescenceishighlycomplex.AlthoughsenescenceregulatorygeneshavebeenwellcharacterizedinmodelspeciessuchasArabidopsisandrice,thereislittleinformationonthecontrolofthisproce

3、ssincotton.Here,thesenescenceprocessincotton(GossypiumhirsutumL.)leaveswasinvestigatedoveratimecourseincludingyoungleaf,matureleafandleafsamplesfromdifferentsenescencestagesusingRNA-Seq.Results:Of24,846genesdetectedbymappingthetagstoGossypiumgenomes,3,624geneswereidentifie

4、dasdifferentiallyexpressedduringleafsenescence.Therewassomeoverlapbetweenthegenesidentifiedhereandsenescence-associatedgenespreviouslyidentifiedinotherspecies.Mostofthegenesrelatedtophotosynthesis,chlorophyllmetabolismandcarbonfixationweredownregulated;whereasthoseforplant

5、hormonesignaltransductionwereupregulated.Quantitativereal-timePCRwasusedtoevaluatetheresultsofRNA-Seqforgeneexpressionprofiles.Furthermore,519differentiallyexpressedtranscriptionfactorswereidentified,notablyWRKY,bHLHandC3H.Inaddition,960genesinvolvedinthemetabolismandregul

6、ationofeighthormoneswereidentified,ofwhichmanygenesinvolvedintheabscisicacid,brassinosteroid,jasmonicacid,salicylicacidandethylenepathwayswereupregulated,indicatingthatthesehormone-relatedgenesmightplaycrucialrolesincottonleafdevelopmentandsenescence.However,mostauxin,cyto

7、kininandgibberellinpathway-relatedgenesweredownregulated,suggestingthatthesethreehormonesmayactasnegativeregulatorsofsenescence.Conclusions:Thisisthefirsthigh-resolution,multipletime-course,genome-widecomprehensiveanalysisofgeneexpressionincotton.Thesedataarethemostcompreh

8、ensivedatasetcurrentlyavailableforcottonleafsenescence,andwillserveasausefulresourceforun

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