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

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 desi...

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Main Authors: Yongce Cao, Shuguang Li, Guoliang Chen, Yanfeng Wang, Javaid Akhter Bhat, Benjamin Karikari, Jiejie Kong, Junyi Gai, Tuanjie Zhao
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Plants
Subjects:
Online Access:https://www.mdpi.com/2223-7747/8/10/373
id doaj-20ff7f6c725d482ea804e43ba72fa17d
record_format Article
collection DOAJ
language English
format Article
sources DOAJ
author Yongce Cao
Shuguang Li
Guoliang Chen
Yanfeng Wang
Javaid Akhter Bhat
Benjamin Karikari
Jiejie Kong
Junyi Gai
Tuanjie Zhao
spellingShingle Yongce Cao
Shuguang Li
Guoliang Chen
Yanfeng Wang
Javaid Akhter Bhat
Benjamin Karikari
Jiejie Kong
Junyi Gai
Tuanjie Zhao
Deciphering the Genetic Architecture of Plant Height in Soybean Using Two RIL Populations Sharing a Common <i>M8206</i> Parent
Plants
linkage mapping
sub-populations
high-density bin map
main-effect qtl
interaction effects
author_facet Yongce Cao
Shuguang Li
Guoliang Chen
Yanfeng Wang
Javaid Akhter Bhat
Benjamin Karikari
Jiejie Kong
Junyi Gai
Tuanjie Zhao
author_sort Yongce Cao
title Deciphering the Genetic Architecture of Plant Height in Soybean Using Two RIL Populations Sharing a Common <i>M8206</i> Parent
title_short Deciphering the Genetic Architecture of Plant Height in Soybean Using Two RIL Populations Sharing a Common <i>M8206</i> Parent
title_full Deciphering the Genetic Architecture of Plant Height in Soybean Using Two RIL Populations Sharing a Common <i>M8206</i> Parent
title_fullStr Deciphering the Genetic Architecture of Plant Height in Soybean Using Two RIL Populations Sharing a Common <i>M8206</i> Parent
title_full_unstemmed Deciphering the Genetic Architecture of Plant Height in Soybean Using Two RIL Populations Sharing a Common <i>M8206</i> Parent
title_sort deciphering the genetic architecture of plant height in soybean using two ril populations sharing a common <i>m8206</i> parent
publisher MDPI AG
series Plants
issn 2223-7747
publishDate 2019-09-01
description 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., <i>QPH-2</i>, <i>qPH-6-2<sub>MT</sub></i>, <i>QPH-6</i>, <i>qPH-9-1<sub>ZM</sub></i>, <i>qPH-10-1<sub>ZM</sub></i>, <i>qPH-13-1<sub>ZM</sub></i>, <i>qPH-16-1<sub>MT</sub></i>, <i>QPH-17</i> and <i>QPH-19</i> were consistently identified in multiple environments or populations, hence were regarded as stable QTLs. Furthermore, Out of these QTLs, three QTLs viz., <i>qPH-4-2<sub>ZM</sub></i>, <i>qPH-15-1<sub>MT</sub></i> and <i>QPH-17</i> were novel. In particular, <i>QPH-17</i> 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., <i>qPH-6-2<sub>MT</sub></i>, <i>qPH-19-1<sub>MT</sub></i>/<i>QPH-19</i>, <i>qPH-5-1<sub>ZM</sub></i> and <i>qPH-17-1<sub>ZM</sub></i> 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.
topic linkage mapping
sub-populations
high-density bin map
main-effect qtl
interaction effects
url https://www.mdpi.com/2223-7747/8/10/373
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spelling doaj-20ff7f6c725d482ea804e43ba72fa17d2020-11-25T02:51:31ZengMDPI AGPlants2223-77472019-09-0181037310.3390/plants8100373plants8100373Deciphering the Genetic Architecture of Plant Height in Soybean Using Two RIL Populations Sharing a Common <i>M8206</i> ParentYongce Cao0Shuguang Li1Guoliang Chen2Yanfeng Wang3Javaid Akhter Bhat4Benjamin Karikari5Jiejie Kong6Junyi Gai7Tuanjie Zhao8MOA Key Laboratory of Biology and Genetic Improvement of Soybean (General), State Key Laboratory for Crop Genetics and Germplasm Enhancement, Soybean Research Institute, National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing 210095, ChinaMOA Key Laboratory of Biology and Genetic Improvement of Soybean (General), State Key Laboratory for Crop Genetics and Germplasm Enhancement, Soybean Research Institute, National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing 210095, ChinaShaanxi Key Laboratory of Chinese Jujube, College of Life Science, Yan’an University, Yan’an 716000, ChinaShaanxi Key Laboratory of Chinese Jujube, College of Life Science, Yan’an University, Yan’an 716000, ChinaMOA Key Laboratory of Biology and Genetic Improvement of Soybean (General), State Key Laboratory for Crop Genetics and Germplasm Enhancement, Soybean Research Institute, National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing 210095, ChinaMOA Key Laboratory of Biology and Genetic Improvement of Soybean (General), State Key Laboratory for Crop Genetics and Germplasm Enhancement, Soybean Research Institute, National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing 210095, ChinaMOA Key Laboratory of Biology and Genetic Improvement of Soybean (General), State Key Laboratory for Crop Genetics and Germplasm Enhancement, Soybean Research Institute, National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing 210095, ChinaMOA Key Laboratory of Biology and Genetic Improvement of Soybean (General), State Key Laboratory for Crop Genetics and Germplasm Enhancement, Soybean Research Institute, National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing 210095, ChinaMOA Key Laboratory of Biology and Genetic Improvement of Soybean (General), State Key Laboratory for Crop Genetics and Germplasm Enhancement, Soybean Research Institute, National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing 210095, ChinaPlant 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., <i>QPH-2</i>, <i>qPH-6-2<sub>MT</sub></i>, <i>QPH-6</i>, <i>qPH-9-1<sub>ZM</sub></i>, <i>qPH-10-1<sub>ZM</sub></i>, <i>qPH-13-1<sub>ZM</sub></i>, <i>qPH-16-1<sub>MT</sub></i>, <i>QPH-17</i> and <i>QPH-19</i> were consistently identified in multiple environments or populations, hence were regarded as stable QTLs. Furthermore, Out of these QTLs, three QTLs viz., <i>qPH-4-2<sub>ZM</sub></i>, <i>qPH-15-1<sub>MT</sub></i> and <i>QPH-17</i> were novel. In particular, <i>QPH-17</i> 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., <i>qPH-6-2<sub>MT</sub></i>, <i>qPH-19-1<sub>MT</sub></i>/<i>QPH-19</i>, <i>qPH-5-1<sub>ZM</sub></i> and <i>qPH-17-1<sub>ZM</sub></i> 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.https://www.mdpi.com/2223-7747/8/10/373linkage mappingsub-populationshigh-density bin mapmain-effect qtlinteraction effects