首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Mapping quantitative trait loci associated with chlorophyll a fluorescence parameters in soybean (Glycine max (L.) Merr.)
Authors:Zhitong Yin  Fanfan Meng  Haina Song  Xiaohong He  Xiaoming Xu  Deyue Yu
Institution:(1) National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, 210095 Nanjing, China;(2) Photosynthesis Research Laboratory, College of Life Sciences, Nanjing Agricultural University, 210095 Nanjing, China;(3) Jiangsu Yanjiang Institute of Agricultural Sciences, 226541 Nantong, China
Abstract:Chlorophyll a fluorescence parameters can provide qualitative and quantitative information about photosynthetic processes in chloroplasts. JIP-test and modulated fluorescence (MF) parameters are commonly used chlorophyll a fluorescence parameters. This study was conducted to identify quantitative trait loci (QTLs) associated with JIP-test parameters, MF parameters, and photosynthetic rate (PN), and to examine the relationships among them in soybean (Glycine max (L.) Merr.). Pot and field experiments were performed to evaluate 184 recombinant inbred lines (RILs) for five JIP-test parameters (ABS/RC, TRo/ABS, ETo/TRo, REo/ETo, and PIABS), four MF parameters (Fv/Fm, Fv′/Fm′, ΦPSII, and qP), and PN. Significant correlations were commonly observed among JIP-test parameters, MF parameters, and PN. QTL mapping analysis identified 13, 9, and 4 QTLs for JIP-test parameters, MF parameters, and PN, respectively, of which 13 were stable. Four major genomic regions were detected: LG A2 (19.81 cM) for JIP-test parameters, LG C1 (94.31 and 97.61 cM) for PN and MF parameters, LG M (100.51 cM) for JIP-test and MF parameters, and LG O (30.61–49.91 cM) for PN, JIP-test, and MF parameters. These results indicate that chlorophyll fluorescence parameters, especially ΦPSII and qP, could play an important role in regulating PN, and that JIP-test and MF parameters could be controlled by the same or different genes. The QTLs identified in this study will help in the understanding of the genetic basis of photosynthetic processes in plants. They will also contribute to the development of marker-assisted selection breeding programs for photosynthetic capacity in soybean.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号