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1. Genome-wide signatures of the geographic expansion and breeding of soybean

Author

Li, Ying-Hui, Qin, Chao, Wang, Li, Jiao, Chengzhi, Hong, Huilong, Tian, Yu, Li, Yanfei, Xing, Guangnan, Wang, Jun, Gu, Yongzhe, Gao, Xingpeng, Li, Delin, Li, Hongyu, Liu, Zhangxiong, Jing, Xin, Feng, Beibei, Zhao, Tao, Guan, Rongxia, Guo, Yong, Liu, Jun, Yan, Zhe, Zhang, Lijuan, Ge, Tianli, Li, Xiangkong, Wang, Xiaobo, Qiu, Hongmei, Zhang, Wanhai, Luan, Xiaoyan, Han, Yingpeng, Han, Dezhi, Chang, Ruzhen, Guo, Yalong, Reif, Jochen C., Jackson, Scott A., Liu, Bin, Tian, Shilin, and Qiu, Li-juan

Published
2023
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6. Flowering time regulator qFT13‐3 involved in soybean adaptation to high latitudes.

Author

Li, Yan‐fei, Zhang, Liya, Wang, Jun, Wang, Xing, Guo, Shiyu, Xu, Ze‐jun, Li, Delin, Liu, Zhangxiong, Li, Ying‐hui, Liu, Bin, and Qiu, Li‐juan

Subjects
FLOWERING time, CIRCADIAN rhythms, NATURAL selection, GENOME-wide association studies, LATITUDE, PRORENIN receptor, CULTIVARS, SOYBEAN
Abstract

Summary: Soybean is a short‐day plant that typically flowers earlier when exposed to short‐day conditions. However, the identification of genes associated with earlier flowering time but without a yield penalty is rare. In this study, we conducted genome‐wide association studies (GWAS) using two re‐sequencing datasets that included 113 wild soybeans (G. soja) and 1192 cultivated soybeans (G. max), respectively, and simultaneously identified a candidate flowering gene, qFT13‐3, which encodes a protein homologous to the pseudo‐response regulator (PRR) transcription factor. We identified four major haplotypes of qFT13‐3 in the natural population, with haplotype H4 (qFT13‐3H4) being lost during domestication, while qFT13‐3H1 underwent natural and artificial selection, increasing in proportion from 4.5% in G. soja to 43.8% in landrace and to 81.9% in improve cultivars. Notably, most cultivars harbouring qFT13‐3H1 were located in high‐latitude regions. Knockout of qFT13‐3 accelerated flowering and maturity time under long‐day conditions, indicating that qFT13‐3 functions as a flowering inhibitor. Our results also showed that qFT13‐3 directly downregulates the expression of GmELF3b‐2 which is a component of the circadian clock evening complex. Field trials revealed that the qft13‐3 mutants shorten the maturity period by 11 days without a concomitant penalty on yield. Collectively, qFT13‐3 can be utilized for the breeding of high‐yield cultivars with a short maturity time suitable for high latitudes. [ABSTRACT FROM AUTHOR]

Published
2024
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9. QTL for yield per plant under water deficit and well-watered conditions and drought susceptibility index in soybean (Glycine max(L.) Merr.)

Author

Liu, Zhangxiong, Li, Huihui, Wang, Xingrong, Zhang, Yanjun, Gou, Zuowang, Zhao, Xingzhen, Ren, Honglei, Wen, Zixiang, Li, Yinghui, Yu, Lili, Gao, Huawei, Wang, Dechun, Qi, Xusheng, and Qiu, Lijuan

Abstract

AbstractDrought has historically represented the greatest abiotic stress to adversely affect the stability of soybean (Glycine max(L.) Merr.) yields in non-irrigated field conditions. To investigate the genetic basis underlying drought tolerance in soybean, we screened the seed yield per plant (YP) in a natural diversity panel of 149 accessions under both water deficit (drought-stressed; YP-S) and well-watered (full irrigation; YP-W) conditions in field and greenhouse trials and calculated a drought susceptibility index (DSI) based on the differences in yield between treatments within each accession. A total of 19 quantitative trait loci (QTLs) were identified: eight were significantly associated with YP-W, 10 were associated with YP-S, 2 were associated with DSI and one QTL was associated with both YP-S and DSI. We then compared QTLs identified here with previously reported markers and found that these loci were located in regions associated with yield-related and other agronomic traits. In particular, YP-S-associated single nucleotide polymorphism (SNP) ss246509299 in chromosome (Chr.) 8, and YP-W-associated ss249310678 on Chr. 17 were both previously correlated with canopy wilt. Eight significant QTLs were located within eight genes. Glyma.18g092200, contained ss249600231 and annotated as GmWRKY168, is reportedly responsive to cadmium. This study helps to resolve which loci contribute to yield under drought stress in soybean, and can potentially serve as markers for selection of elite, high-yield and drought tolerant varieties.

Published
2023
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11. QTL for yield per plant under water deficit and well-watered conditions and drought susceptibility index in soybean (Glycine max (L.) Merr.)

Author

Liu, Zhangxiong, primary, Li, Huihui, additional, Wang, Xingrong, additional, Zhang, Yanjun, additional, Gou, Zuowang, additional, Zhao, Xingzhen, additional, Ren, Honglei, additional, Wen, Zixiang, additional, Li, Yinghui, additional, Yu, Lili, additional, Gao, Huawei, additional, Wang, Dechun, additional, Qi, Xusheng, additional, and Qiu, Lijuan, additional

Published
2022
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13. Dissecting four correlated growth period traits using a genome-wide association study approach in soybean

Author

Gu Yongzhe, Ma Yansong, Jackson A Scott, Li Yanfei, Hong Hui-long, Qiu LiJuan, Liu Zhangxiong, and Yinghui Li

Subjects
Genetics, Period (gene), Single-nucleotide polymorphism, Genome-wide association study, Plant Science, Biology, Crop, Pleiotropy, Germination, SNP, Gene, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics
Abstract

Soybean (Glycine max (L.) Merri) is a short-day, photoperiod-sensitive crop. The vegetative growth period (V), reproductive growth period (R), whole growth period (V + R) and the ratio of growth period structure (R/V) are photoperiod traits critical to adaptability and yield in soybean. To thoroughly dissect the genetic basis of these growth period traits and their correlations, a panel of 277 soybean accessions were genotyped with a single nucleotide polymorphisms (SNPs) chip and phenotyped at three field environments over three years. A genome-wide association study found 29 SNPs on fifteen chromosomes with 33 significant marker-trait associations, eleven, eight, four and ten for V, R, V + R and R/V, respectively. Two SNPs, Map-6077 and − 6502, showed pleiotropy in three and two traits, respectively. Map-6077, associated with V, R, and V + R, was a synonymous SNP of the GmMFT, a member of PEBP family that has been reported to inhibit seed germination and regulate oil content. These results provide candidate SNP markers and genes for further functional experiments to advance molecular marker-assisted breeding.

Published
2021

14. Genome-wide signatures of the geographic expansion and breeding of soybean

Author

Li, Ying-Hui, primary, Qin, Chao, additional, Wang, Li, additional, Jiao, Chengzhi, additional, Hong, Huilong, additional, Tian, Yu, additional, Li, Yanfei, additional, Xing, Guangnan, additional, Wang, Jun, additional, Gu, Yongzhe, additional, Gao, Xingpeng, additional, Li, Delin, additional, Li, Hongyu, additional, Liu, Zhangxiong, additional, Jing, Xin, additional, Feng, Beibei, additional, Zhao, Tao, additional, Guan, Rongxia, additional, Guo, Yong, additional, Liu, Jun, additional, Yan, Zhe, additional, Zhang, Lijuan, additional, Ge, Tianli, additional, Li, Xiangkong, additional, Wang, Xiaobo, additional, Qiu, Hongmei, additional, Zhang, Wanhai, additional, Luan, Xiaoyan, additional, Han, Yingpeng, additional, Han, Dezhi, additional, Chang, Ruzhen, additional, Guo, Yalong, additional, Reif, Jochen C., additional, Jackson, Scott A., additional, Liu, Bin, additional, Tian, Shilin, additional, and Qiu, Li-juan, additional

Published
2022
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16. Journal of Integrative Agriculture

Author

YU Li-li, Yin Man, Gao Hua-wei, Zhang Yong-fang, Zhang Bo, Zhang Chun-yan, Qiu LiJuan, Liu Zhangxiong, LI Fu-heng, GU Yong-zhe, Hong Hui-long, and School of Plant and Environmental Sciences

Subjects
Germplasm, Ecology, business.industry, Computer science, Agriculture (General), ComputingMilieux_PERSONALCOMPUTING, food and beverages, Plant Science, germplasm, Biochemistry, 2-acetyl-1pyrroline, Biotechnology, S1-972, ComputingMilieux_GENERAL, Food Animals, ComputingMilieux_COMPUTERSANDEDUCATION, Key (cryptography), Animal Science and Zoology, Identification (biology), soybean, GC-MS, quantification method, business, Agronomy and Crop Science, Food Science
Abstract

In order to screen the aroma characteristics of soybean, a new method was established which can quickly quantify the content of 2-acetyl-1pyrroline (2-AP), an important compound related to soybean aroma, using gas chromatography-mass spectrometry (GC-MS). Based on peak profile, total peak area and retention time as test indexes, an accurate identification method for fragrant soybeans was established. The optimum parameters of the protocol consisted of column temperature 70 degrees C, sample injector temperature 180 degrees C, optimum extraction alcohol content 1 mL, NaCl content 0.1 g, ultrasonication time 10 min, and extraction time 1 h, which were established by using the orthogonal test of single factors and three factors with four levels (L-9(3)(4)). 2-AP content of leaves had significant correlations with seeds, which were easier to measure. The protocol was simple and easy to carry out, consumed only small amounts of reagents, and provided accurate and reliable results with good reproducibility. A total of 101 soybean genotypes from different geographical sources were analyzed using this protocol. The results showed that the average content of 2-AP was 0.29 mg L-1, ranging from 0.094 to 1.816 mg L-1, and the genetic diversity index was 0.54. Among all genotypes-tested, they were classified into three grades, including seven elite genotypes identified as "grade one fragrant soybeans", which were Zhonglong 608, Heinong 88, Ha13-2958, Hongmiandou, Heinong 82, Huangmaodou, and Jiyu 21. These results provide both an identification technique and several elite aroma genotypes for gene discovery and good quality breeding in soybean. National Key R&D Program for Crop Breeding [2016YFD0100201]; Scientific Innovation Program of of the Chinese Academy of Agricultural Sciences (CAAS) Published version This work was supported by the National Key R&D Program for Crop Breeding (2016YFD0100201) and Scientific Innovation Program of of the Chinese Academy of Agricultural Sciences (CAAS) . We thank the Core Facility Platform, Institute of Crop Sciences, CAAS for their assistance with GC-MS analyses.

Published
2021

18. Genome-wide signatures of geographic expansion and breeding process in soybean

Author

Li, Ying-hui, primary, Qin, Chao, additional, Wang, Li, additional, Jiao, Chengzhi, additional, Hong, Huilong, additional, Tian, Yu, additional, Li, Yanfei, additional, Xing, Guangnan, additional, Wang, Jun, additional, Gu, Yongzhe, additional, Gao, Xingpeng, additional, Li, Delin, additional, Li, Hongyu, additional, Liu, Zhangxiong, additional, Jing, Xing, additional, Feng, Beibei, additional, Zhao, Tao, additional, Guan, Rongxia, additional, Guo, Yong, additional, Liu, Jun, additional, Yan, Zhe, additional, Zhang, Lijuan, additional, Ge, Tianli, additional, Li, Xiangkong, additional, Wang, Xiaobo, additional, Qiu, Hongmei, additional, Zhang, Wanhai, additional, Luan, Xiaoyan, additional, Han, Yingpeng, additional, Han, Dezhi, additional, Chang, Ruzhen, additional, Guo, Yalong, additional, Reif, Jochen C., additional, Jackson, Scott A., additional, Liu, Bin, additional, Tian, Shilin, additional, and Qiu, Li-Juan, additional

Published
2022
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19. QTL for yield per plant under water deficit and well-watered conditions and drought susceptibility index in soybean (Glycine max (L.) Merr.).

Author

Liu, Zhangxiong, Li, Huihui, Wang, Xingrong, Zhang, Yanjun, Gou, Zuowang, Zhao, Xingzhen, Ren, Honglei, Wen, Zixiang, Li, Yinghui, Yu, Lili, Gao, Huawei, Wang, Dechun, Qi, Xusheng, and Qiu, Lijuan

Subjects
*PLANT yields, *LOCUS (Genetics), *PLANT-water relationships, *DROUGHTS, *AQUATIC plants, *SEED treatment
Abstract

Drought has historically represented the greatest abiotic stress to adversely affect the stability of soybean (Glycine max (L.) Merr.) yields in non-irrigated field conditions. To investigate the genetic basis underlying drought tolerance in soybean, we screened the seed yield per plant (YP) in a natural diversity panel of 149 accessions under both water deficit (drought-stressed; YP-S) and well-watered (full irrigation; YP-W) conditions in field and greenhouse trials and calculated a drought susceptibility index (DSI) based on the differences in yield between treatments within each accession. A total of 19 quantitative trait loci (QTLs) were identified: eight were significantly associated with YP-W, 10 were associated with YP-S, 2 were associated with DSI and one QTL was associated with both YP-S and DSI. We then compared QTLs identified here with previously reported markers and found that these loci were located in regions associated with yield-related and other agronomic traits. In particular, YP-S-associated single nucleotide polymorphism (SNP) ss246509299 in chromosome (Chr.) 8, and YP-W-associated ss249310678 on Chr. 17 were both previously correlated with canopy wilt. Eight significant QTLs were located within eight genes. Glyma.18g092200, contained ss249600231 and annotated as GmWRKY168, is reportedly responsive to cadmium. This study helps to resolve which loci contribute to yield under drought stress in soybean, and can potentially serve as markers for selection of elite, high-yield and drought tolerant varieties. [ABSTRACT FROM AUTHOR]

Published
2023
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21. Potential of marker selection to increase prediction accuracy of genomic selection in soybean (Glycine max L.)

Author

Ma, Yansong, Reif, Jochen C., Jiang, Yong, Wen, Zixiang, Wang, Dechun, Liu, Zhangxiong, Guo, Yong, Wei, Shuhong, Wang, Shuming, Yang, Chunming, Wang, Huicai, Yang, Chunyan, Lu, Weiguo, Xu, Ran, Zhou, Rong, Wang, Ruizhen, Sun, Zudong, Chen, Huaizhu, Zhang, Wanhai, Wu, Jian, Hu, Guohua, Liu, Chunyan, Luan, Xiaoyan, Fu, Yashu, Guo, Tai, Han, Tianfu, Zhang, Mengchen, Sun, Bincheng, Zhang, Lei, Chen, Weiyuan, Wu, Cunxiang, Sun, Shi, Yuan, Baojun, Zhou, Xinan, Han, Dezhi, Yan, Hongrui, Li, Wenbin, and Qiu, Lijuan

Published
2016
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26. QTL mapping of drought tolerance traits in soybean with SLAF sequencing

Author

Ren, Honglei, primary, Han, Jianan, additional, Wang, Xingrong, additional, Zhang, Bo, additional, Yu, Lili, additional, Gao, Huawei, additional, Hong, Huilong, additional, Sun, Rujian, additional, Tian, Yu, additional, Qi, Xusheng, additional, Liu, Zhangxiong, additional, Wu, Xiaoxia, additional, and Qiu, Li-Juan, additional

Published
2020
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31. Meta-analysis and overview analysis of quantitative trait locis associated with fatty acid content in soybean for candidate gene mining

Author

Qin, Hongtao, primary, Liu, Zhangxiong, additional, Wang, Yuyang, additional, Xu, Mingyue, additional, Mao, Xinrui, additional, Qi, Huidong, additional, Yin, Zhengong, additional, Li, Yongliang, additional, Jiang, Hongwei, additional, Hu, Zhenbang, additional, Wu, Xiaoxia, additional, Zhu, Rongsheng, additional, Liu, Chunyan, additional, Chen, Qingshan, additional, Xin, Dawei, additional, and Qi, Zhaoming, additional

Published
2018
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34. Genetic Structure and Diversity of Soybean Germplasm in Heilongjiang,China

Author

Luan Weijiang, Chang RuZhen, Liu Zhangxiong, Li GuangMin, Guan Rongxia, Li YingHui, Qiu LiJuan, Ma ZhiYing, Qin Jun, Zhang Mengchen, and Yan Zhe

Subjects
Germplasm, Genetic diversity, business.industry, Plant Science, Biology, Biotechnology, Agronomy, Genetic distance, Genetic marker, Genetic structure, Genetic variation, Microsatellite, Cultivar, business, Agronomy and Crop Science
Published
2009

36. Assessing the numbers of SNPs needed to establish molecular IDs and characterize the genetic diversity of soybean cultivars derived from Tokachi nagaha

Author

Liu, Zhangxiong, primary, Li, Jun, additional, Fan, Xuhong, additional, Htwe, Nang Myint Phyu Sin, additional, Wang, Shuming, additional, Huang, Wen, additional, Yang, Jiyu, additional, Xing, Lili, additional, Chen, Lijun, additional, Li, Yinghui, additional, Guan, Rongxia, additional, Chang, Ruzhen, additional, Wang, Dechun, additional, and Qiu, Lijuan, additional

Published
2017
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39. Phenotypic characterization and genetic dissection of nine agronomic traits in Tokachi nagaha and its derived cultivars in soybean (Glycine max (L.) Merr.)

Author

Liu, Zhangxiong, primary, Li, Huihui, additional, Fan, Xuhong, additional, Huang, Wen, additional, Yang, Jiyu, additional, Wen, Zixiang, additional, Li, Yinghui, additional, Guan, Rongxia, additional, Guo, Yong, additional, Chang, Ruzhen, additional, Wang, Dechun, additional, Chen, Pengyin, additional, Wang, Shuming, additional, and Qiu, Li-Juan, additional

Published
2017
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40. Development and utilization of a new chemically-induced soybean library with a high mutation density

Author

Li, Zhongfeng, primary, Jiang, Lingxue, additional, Ma, Yansong, additional, Wei, Zhongyan, additional, Hong, Huilong, additional, Liu, Zhangxiong, additional, Lei, Jinhui, additional, Liu, Ying, additional, Guan, Rongxia, additional, Guo, Yong, additional, Jin, Longguo, additional, Zhang, Lijuan, additional, Li, Yinghui, additional, Ren, Yulong, additional, He, Wei, additional, Liu, Ming, additional, Htwe, Nang Myint Phyu Sin, additional, Liu, Lin, additional, Guo, Bingfu, additional, Song, Jian, additional, Tan, Bing, additional, Liu, Guifeng, additional, Li, Maiquan, additional, Zhang, Xianli, additional, Liu, Bo, additional, Shi, Xuehui, additional, Han, Sining, additional, Hua, Sunan, additional, Zhou, Fulai, additional, Yu, Lili, additional, Li, Yanfei, additional, Wang, Shuang, additional, Wang, Jun, additional, Chang, Ruzhen, additional, and Qiu, Lijuan, additional

Published
2017
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41. GmSALT3, Which Confers Improved Soybean Salt Tolerance in the Field, Increases Leaf Cl- Exclusion Prior to Na+ Exclusion But Does Not Improve Early Vigor under Salinity

Author

Liu, Ying, primary, Yu, Lili, additional, Qu, Yue, additional, Chen, Jingjing, additional, Liu, Xiexiang, additional, Hong, Huilong, additional, Liu, Zhangxiong, additional, Chang, Ruzhen, additional, Gilliham, Matthew, additional, Qiu, Lijuan, additional, and Guan, Rongxia, additional

Published
2016
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42. Genetic Diversity of Chinese Cultivated Soybean Revealed by SSR Markers

Author

Rongxia Guan, Lixia Wang, Liu Zhangxiong, Lijuan Qiu, and Ruzhen Chang

Subjects
Germplasm, Genetic diversity, Ecotype, Genetic distance, Genetic marker, Botany, UPGMA, food and beverages, Genetic variability, Biology, Agronomy and Crop Science, Center of origin
Abstract

China is the center of origin of soybean [Glycine max (L.) Merr.] and is therefore expected to represent a primary source of germplasm for this crop. Genetic diversity assessments among Chinese soybean accessions should provide useful information for local and international soybean researchers to more effectively utilize this material. A sample of 129 accessions were selected to represent phenotypic variability for 14 agronomic and morphological traits in the Chinese soybean collection. These accessions were analyzed with 60 mapped simple sequence repeats (SSRs) to determine the genetic diversity represented. In total, 732 alleles were detected (12.2 alleles per locus) and the polymorphic information content (PIC) among accessions varied from 0.5 to 0.92 with a mean of 0.78. Pairwise coefficients of genetic distance among all accessions ranged from 0.05 to 0.91 (mean 0.23). Unweighted pair-group method arithmetic average (UPGMA) analysis showed that the accessions formed five major clusters; two contained primarily Northern ecotypes, one contained primarily Yellow River Valley ecotypes, and one contained Southern ecotypes. The fifth cluster contained a mixture of Northern and Yellow River Valley ecotypes. Accessions from the lower regions of the Yellow River Valley possessed the greatest allelic richness, had the lowest pairwise genetic diversity estimates, and were dispersed throughout the five clusters, suggesting that the Yellow River Valley may be center of diversity for Chinese cultivated soybean. The results indicated that stratified sampling based on seven primary ecotypes may represent an optimal strategy for assembling a representative core collection of Chinese soybean.

Published
2006

44. Phenotypic Characterization and Genetic Dissection of Growth Period Traits in Soybean (Glycine max) Using Association Mapping

Author

Liu, Zhangxiong, primary, Li, Huihui, additional, Fan, Xuhong, additional, Huang, Wen, additional, Yang, Jiyu, additional, Li, Candong, additional, Wen, Zixiang, additional, Li, Yinghui, additional, Guan, Rongxia, additional, Guo, Yong, additional, Chang, Ruzhen, additional, Wang, Dechun, additional, Wang, Shuming, additional, and Qiu, Li-Juan, additional

Published
2016
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45. Stability analysis of seven agronomic traits for soybean [(Glycine max(L.) Merr.] Tokachi nagaha and its derived cultivars using the AMMI model

Author

Liu, Zhangxiong, Fan, Xuhong, Huang, Wen, Yang, Jiyu, Zheng, Yuhong, Wang, Shuming, and Qiu, Lijuan

Abstract

AbstractThe stabilities of seven agronomic traits were analyzed and the general stabilities of soybean [Glycine max(L.) Merr.] accessions were evaluated based on the additive main effects and multiplicative interactions (AMMI) model using the founder parent Tokachi nagaha and 137 of its derived cultivars as materials. The objective was to provide a theoretical basis for effectively using germplasm in soybean breeding and production. Analysis of variance (ANOVA) showed that genotype, environment, and genotype by environment interactions were significantly different for each trait. The first three interaction principal components axes (IPCA) were highly significant, accounting for 61.28–70.00% of the total variation. The stability differed for the different traits. 50 cultivars with high general stabilities were identified. The general stability of Tokachi nagaha was moderate, as the stability coefficients (Di) of its seven traits were relatively high; this must be considered by breeders using this cultivar as a breeding parent. There were significant positive correlations between the phenotypic values and their own Divalues for number of branches per plant, number of pods per plant, number of seeds per plant, and seed weight per plant. This would lead to the expectation that the phenotypic stability would be lower when a cultivar had more branches, pods, seeds, and high per plant yields. Thus, it appears difficult to breed cultivars that simultaneously have high yields and high stability.

Published
2017
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48. Genetic Diversity of Chinese Cultivated Soybean Revealed by SSR Markers.

Author

Lixia Wang, Rongxia Guan, Liu Zhangxiong, Ruzhen Chang, and Lijuan Qiu

Subjects
SOYBEAN, FORAGE plants, ACETIC acid, AGRICULTURAL industries, PLANT genetics, AGRICULTURE, CROP genetics, CULTIVATED plants
Abstract

China is the center of origin of soybean [Glycine max (L.) Merr.] and is therefore expected to represent a primary source of germplasm for this crop. Genetic diversity assessments among Chinese soybean accessions should provide useful information for local and international soybean researchers to more effectively utilize this material. A sample of 129 accessions were selected to represent phenotypic variability for 14 agronomic and morphological traits in the Chinese soybean collection. These accessions were analyzed with 60 mapped simple sequence repeats (SSRs) to determine the genetic diversity represented. In total, 732 alleles were detected (12.2 alleles per locus) and the polymorphic information content (PIC) among accessions varied from 0.5 to 0.92 with a mean of 0.78. Pairwise coefficients of genetic distance among all accessions ranged from 0.05 to 0.91 (mean 0.23). Unweighted pair-group method arithmetic average (UPGMA) analysis showed that the accessions formed five major clusters; two contained primarily Northern ecotypes, one contained primarily Yellow River Valley ecotypes, and one contained Southern ecotypes. The fifth cluster contained a mixture of Northern and Yellow River Valley ecotypes. Accessions from the lower regions of the Yellow River Valley possessed the greatest allelic richness, had the lowest pairwise genetic diversity estimates, and were dispersed throughout the five clusters, suggesting that the Yellow River Valley may be center of diversity for Chinese cultivated soybean. The results indicated that stratified sampling based on seven primary ecotypes may represent an optimal strategy for assembling a representative core collection of Chinese soybean. [ABSTRACT FROM AUTHOR]

Published
2006
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49. Identification of genes for drought resistance and prediction of gene candidates in soybean seedlings based on linkage and association mapping

Author

Zhang, Yanjun, Liu, Zhangxiong, Wang, Xingrong, Li, Yue, Li, Yongsheng, Gou, Zuowang, Zhao, Xingzhen, Hong, Huilong, Ren, Honglei, Qi, Xusheng, and Qiu, Lijuan

Abstract

Drought is one of the primary abiotic stress factors affecting the yield, growth, and development of soybeans. In extreme cases, drought can reduce yield by more than 50%. The seedling stage is an important determinant of soybean growth: the number and vigor of seedlings will affect growth and yield at harvest. Therefore, it is important to study the drought resistance of soybean seedlings. In this study, a recombinant inbred line (RIL) population comprising 234 F6:10lines (derived from Zhonghuang 35 × Jindou 21) and a panel of 259 soybean accessions was subjected to drought conditions to identify the effects on phenotypic traits under these conditions. Using a genetic map constructed by single nucleotide polymorphism (SNPs) markers, 18 quantitative trait loci (QTL) on 7 soybean chromosomes were identified in two environments. This included 9 QTL clusters identified in the RIL population. Fifty-three QTL were identified in 19 soybean chromosomes by genome-wide association analysis (GWAS) in the panel of accessions, including 69 significant SNPs (−log10(P) ≥ 3.97). A combination of the two populations revealed that two SNPs (−log10(P) ≥3.0) fell within two of the QTL (qPH7-4and qPH7-6) confidence intervals. We not only re-located several previously reported drought-resistance genes in soybean and other crops but also identified several non-synonymous stress-related mutation site differences between the two parents, involving Glyma.07g093000, Glyma.07g093200, Glyma.07g094100and Glyma.07g094200. One previously unreported new gene related to drought stress, Glyma.07g094200, was found by regional association analysis. The significant SNP CHR7-17619(G/T) was within an exon of the Glyma.07g094200gene. In the RIL population, the DSP value of the “T” allele of CHR7-17619was significantly (P<0.05) larger than the “G” allele in different environments. The results of our study lay the groundwork for cloning and molecular marker-assisted selection of drought-resistance genes in soybeans at the seedling stage.

Published
2021
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50. Comparison of grain traits and genetic diversity between Chinese and Uruguayan soybeans ( Glycine max L.).

Author

Sun C, Zhang Z, Liu M, Ceretta S, Zhang S, Guo B, Li Y, Liu Z, Gu Y, Ao X, and Qiu L

Abstract

Soybeans ( Glycine max L.), originating in China, were introduced to South America in the late 19th century after passing through North America. South America is now a major soybean-producing region, accounting for approximately 40% of the global soybean production. Crops like soybeans gradually adapt to the local climate and human-selected conditions, resulting in beneficial variations during cultivation in different regions. Comparing the phenotypic and genetic variations in soybeans across different regions is crucial to determining the variations that may enhance soybean productivity. This study identified seed-related traits and conducted a genetic diversity analysis using 46 breeding soybean varieties from China and Uruguay. Compared to the Chinese soybean germplasm, the Uruguayan equivalent had a lower 100-grain weight, higher oil content, lower protein content, and higher soluble sugar content. Using ZDX1 gene chips, genetic typing was performed on the 46 breeding varieties. Cluster analysis based on SNP sites revealed significant differences in the genetic basis of Sino-Uruguayan soybean germplasm. Selection analysis, including nucleotide polymorphism (π) and fixation indexes (Fst), identified several genomic regions under selection between Sino-Uruguayan soybean germplasm. The selected intervals significantly enriched gene ontology (GO) terms related to protein metabolism. Additionally, differentiation occurred in genes associated with the oil content, seed weight, and cyst nematodes between Sino-Uruguayan soybean germplasm, such as GmbZIP123 and GmSSS1 . These findings highlight the differences in seed-related phenotypes between Sino-Uruguay soybean germplasm and provide genomic-level insights into the mechanisms behind phenotypic differences, offering valuable references for understanding soybean evolution and molecular breeding., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer YH declared a past co-authorship with the authors YL, ZL and LQ to the handling editor., (Copyright © 2024 Sun, Zhang, Liu, Ceretta, Zhang, Guo, Li, Liu, Gu, Ao and Qiu.)

Published
2024
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