Unraveling candidate genomic regions responsible for delayed leaf senescence in rice

被引:4
|
作者
Singh, Uma Maheshwar [1 ,2 ]
Sinha, Pallavi [1 ,3 ]
Dixit, Shilpi [1 ]
Abbai, Ragavendran [1 ]
Venkateshwarlu, Challa [1 ]
Chitikineni, Annapurna [3 ]
Singh, Vikas Kumar [1 ]
Varshney, Rajeev K. [3 ]
Kumar, Arvind [1 ,2 ]
机构
[1] Int Rice Res Inst IRRI, ICRISAT, South Asia Hub, Hyderabad, India
[2] Int Rice Res Inst, South Asia Reg Ctr ISARC, Varanasi, Uttar Pradesh, India
[3] Int Crops Res Inst Semi Arid Trop, Ctr Excellence Genom & Syst Biol, Hyderabad, India
来源
PLOS ONE | 2020年 / 15卷 / 10期
关键词
QUANTITATIVE TRAIT LOCI; STAY-GREEN TRAIT; HARVESTING COMPLEX-II; CHLOROPHYLL DEGRADATION; GRAIN-SORGHUM; POPULATION; IDENTIFICATION; PRODUCTIVITY; EXPRESSION; CLONING;
D O I
10.1371/journal.pone.0240591
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Photosynthates generated after heading contributes to 60% - 80% of grain yield in rice. Delay in leaf senescence can contribute to a long grain-filling period and thereby increased yield. The objective of this study was to identify genomic region(s) responsible for delayed leaf senescence (DLS) and validate the role of underlying candidate genes in controlling target traits. 302 BC(2)F(4)backcross-derived lines (BILs) developed from a cross between Swarna and Moroberekan were phenotyped for two seasons (DS2016 and WS2017) for chlorophyll content and yield parameters. KASPar-SNP assays based genotyping data with 193 SNPs of mapping population was used to identify the targeted genomic region(s). Significant positive correlation was observed between the two most important determinants of DLS traitsviz., RDCF (reduced decline degree of chlorophyll content of flag leaf) and RDCS (reduced decline degree of chlorophyll content of second leaf) with plant height (PH), grain number per panicle (GPN), panicle length (PL), number of tiller (NT) and grain yield (GY). A total of 41 and 29 QTLs with phenotypic variance (PVE) ranging from 8.2 to 25.1% were detected for six DLS traits during DS2016 and WS2017, respectively. Out of these identified QTLs, 19 were considered as stable QTLs detected across seasons. 17 of the identified stable QTLs were found to be novel.In-silicoanalysis revealed five key genes regulating chlorophyll metabolism. Expression analysis of these genes confirmed their strong association with the senescence pattern in leaf tissue of parents as well as selected phenotypically extreme lines. The identified stable QTLs regulating DLS traits and validation of potential candidate genes provides insight into genetic basis of delayed senescence and is expected to contribute in enhancing grain yield through genomics-assisted breeding (GAB).
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页数:17
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