Deciphering the Genetic Architecture of Plant Height in Soybean Using Two RIL Populations Sharing a Common M8206 Parent

被引:17
作者
Cao, Yongce [1 ,2 ]
Li, Shuguang [1 ]
Chen, Guoliang [2 ]
Wang, Yanfeng [2 ]
Bhat, Javaid Akhter [1 ]
Karikari, Benjamin [1 ]
Kong, Jiejie [1 ]
Gai, Junyi [1 ]
Zhao, Tuanjie [1 ]
机构
[1] Nanjing Agr Univ, Natl Ctr Soybean Improvement, Soybean Res Inst,MOA Key Lab Biol & Genet Improve, State Key Lab Crop Genet & Germplasm Enhancement, Nanjing 210095, Jiangsu, Peoples R China
[2] Yanan Univ, Coll Life Sci, Shaanxi Key Lab Chinese Jujube, Yanan 716000, Peoples R China
来源
PLANTS-BASEL | 2019年 / 8卷 / 10期
基金
中国国家自然科学基金;
关键词
linkage mapping; sub-populations; high-density bin map; main-effect QTL; interaction effects; QUANTITATIVE TRAIT LOCI; GENOME-WIDE ASSOCIATION; AGRONOMIC TRAITS; MAPPING QTLS; SEED TRAITS; IDENTIFICATION; YIELD; MATURITY; EPISTASIS; GERMPLASM;
D O I
10.3390/plants8100373
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Plant height (PH) is an important agronomic trait that is closely related to soybean yield and quality. However, it is a complex quantitative trait governed by multiple genes and is influenced by environment. Unraveling the genetic mechanism involved in PH, and developing soybean cultivars with desirable PH is an imperative goal for soybean breeding. In this regard, the present study used high-density linkage maps of two related recombinant inbred line (RIL) populations viz., MT and ZM evaluated in three different environments to detect additive and epistatic effect quantitative trait loci (QTLs) as well as their interaction with environments for PH in Chinese summer planting soybean. A total of eight and 12 QTLs were detected by combining the composite interval mapping (CIM) and mixed-model based composite interval mapping (MCIM) methods in MT and ZM populations, respectively. Among these QTLs, nine QTLs viz., QPH-2, qPH-6-2(MT), QPH-6, qPH-9-1(ZM), qPH-10-1(ZM), qPH-13-1(ZM), qPH-16-1(MT), QPH-17 and QPH-19 were consistently identified in multiple environments or populations, hence were regarded as stable QTLs. Furthermore, Out of these QTLs, three QTLs viz., qPH-4-2(ZM), qPH-15-1(MT) and QPH-17 were novel. In particular, QPH-17 could detect in both populations, which was also considered as a stable and major QTL in Chinese summer planting soybean. Moreover, eleven QTLs revealed significant additive effects in both populations, and out of them only six showed additive by environment interaction effects, and the environment-independent QTLs showed higher additive effects. Finally, six digenic epistatic QTLs pairs were identified and only four additive effect QTLs viz., qPH-6-2(MT), qPH-19-1(MT)/QPH-19, qPH-5-1(ZM) and qPH-17-1(ZM) showed epistatic effects. These results indicate that environment and epistatic interaction effects have significant influence in determining genetic basis of PH in soybean. These results would not only increase our understanding of the genetic control of plant height in summer planting soybean but also provide support for implementing marker assisted selection (MAS) in developing cultivars with ideal plant height as well as gene cloning to elucidate the mechanisms of plant height.
引用
收藏
页数:22
相关论文
共 58 条
[51]   QTLNetwork: mapping and visualizing genetic architecture of complex traits in experimental populations [J].
Yang, Jian ;
Hu, Chengcheng ;
Hu, Han ;
Yu, Rongdong ;
Xia, Zhen ;
Ye, Xiuzi ;
Zhu, Jun .
BIOINFORMATICS, 2008, 24 (05) :721-723
[52]   Identification of germplasm with stacked QTL underlying seed traits in an inbred soybean population from cultivars Essex and Forrest [J].
Yesudas, C. R. ;
Bashir, R. ;
Geisler, Matthew B. ;
Lightfoot, D. A. .
MOLECULAR BREEDING, 2013, 31 (03) :693-703
[53]   Soybean plant height QTL mapping and meta-analysis for mining candidate genes [J].
Yin, Zhengong ;
Qi, Huidong ;
Chen, Qingshan ;
Zhang, Zhanguo ;
Jiang, Hongwei ;
Zhu, Rongsheng ;
Hu, Zhenbang ;
Wu, Xiaoxia ;
Li, Candong ;
Zhang, Yong ;
Liu, Chunyan ;
Hu, Guohua ;
Xin, Dawei ;
Qi, Zhaoming .
PLANT BREEDING, 2017, 136 (05) :688-698
[54]   High-Density Genetic Mapping Identifies New Major Loci for Tolerance to Low-Phosphorus Stress in Soybean [J].
Zhang, Dan ;
Li, Hongyan ;
Wang, Jinshe ;
Zhang, Hengyou ;
Hu, Zhenbin ;
Chu, Shanshan ;
Lv, Haiyan ;
Yu, Deyue .
FRONTIERS IN PLANT SCIENCE, 2016, 7
[55]   Genome-wide association study for flowering time, maturity dates and plant height in early maturing soybean (Glycine max) germplasm [J].
Zhang, Jiaoping ;
Song, Qijian ;
Cregan, Perry B. ;
Nelson, Randall L. ;
Wang, Xianzhi ;
Wu, Jixiang ;
Jiang, Guo-Liang .
BMC GENOMICS, 2015, 16
[56]   Combining QTL-seq and linkage mapping to fine map a wild soybean allele characteristic of greater plant height [J].
Zhang, Xiaoli ;
Wang, Wubin ;
Guo, Na ;
Zhang, Youyi ;
Bu, Yuanpeng ;
Zhao, Jinming ;
Xing, Han .
BMC GENOMICS, 2018, 19
[57]   A recessive allele for delayed flowering at the soybean maturity locus E9 is a leaky allele of FT2a, a FLOWERING LOCUS T ortholog [J].
Zhao, Chen ;
Takeshima, Ryoma ;
Zhu, Jianghui ;
Xu, Meilan ;
Sato, Masako ;
Watanabe, Satoshi ;
Kanazawa, Akira ;
Liu, Baohui ;
Kong, Fanjiang ;
Yamada, Tetsuya ;
Abe, Jun .
BMC PLANT BIOLOGY, 2016, 16
[58]   Identification of QTLs for eight agronomically important traits using an ultra-high-density map based on SNPs generated from high-throughput sequencing in sorghum under contrasting photoperiods [J].
Zou, Guihua ;
Zhai, Guowei ;
Feng, Qi ;
Yan, Song ;
Wang, Ahong ;
Zhao, Qiang ;
Shao, Jianfeng ;
Zhang, Zhipeng ;
Zou, Jianqiu ;
Han, Bin ;
Tao, Yuezhi .
JOURNAL OF EXPERIMENTAL BOTANY, 2012, 63 (15) :5451-5462