Zheng-Wei Zhang

Zheng-Wei Zhang

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 December 2023 in Plants
Verified
Journal Article
Open access
PDF file
RGRongxia Guan
Rongxia Guan
XGXiaoyang Guo
Xiaoyang Guo
YQYue Qu
Yue Qu
ZZZheng-Wei Zhang
Zheng-Wei Zhang
LBLi-Gao Bao
Li-Gao Bao
Lijuan QiuLijuan Qiu
Lijuan Qiu
Salinity greatly affects the production of soybeans in arid and semi-arid lands around the world. The responses of soybeans to salt stress at germination, emergence, and other seedling stages have been evaluated in multitudes of studies over the past decades. Considerable salt-tolerant accessions have been identified. The association between salt tolerance responses during early and later growth stages may not be as significant as expected. Genetic analysis has confirmed that salt tolerance is distinctly tied to specific soybean developmental stages. Our understanding of salt tolerance mechanisms in soybeans is increasing due to the identification of key salt tolerance genes. In this review, we focus on the methods of soybean salt tolerance screening, progress in forward genetics, potential mechanisms involved in salt tolerance, and the importance of translating laboratory findings into field experiments via marker-assisted pyramiding or genetic engineering approaches, and ultimately developing salt-tolerant soybean varieties that produce high and stable yields. Progress has been made in the past decades, and new technologies will help mine novel salt tolerance genes and translate the mechanism of salt tolerance into new varieties via effective routes.

22 June 2022 in Pest Management Science
Verified
Journal Article
Closed access
WQWei Qiu
Wei Qiu
HGHongbin Guo
Hongbin Guo
YCYubin Cao
Yubin Cao
XLXiaolong Li
Xiaolong Li
JWJianhao Wu
Jianhao Wu
ZZZheng-Wei Zhang
Zheng-Wei Zhang

5 March 2026 in Plants
Verified
Journal Article
Open access
PDF file
XSXin Su
Xin Su
HHHuilong Hong
Huilong Hong
YCYuehan Chen
Yuehan Chen
XZXiang Zhang
Xiang Zhang
MGMingxuan Gong
Mingxuan Gong
Lijuan QiuLijuan Qiu
Lijuan Qiu
Soybean is a primary global vegetable oil source, yet modern South American cultivars often exhibit superior oil content compared to those from China, the center of origin. Elucidating the genetic basis of this differentiation is crucial for enhancing production efficiency. In this study, we systematically evaluated 98 representative accessions, comprising Chinese germplasm (CN) and Uruguayan germplasm. The latter included Uruguayan conventional germplasm (UY_N, where ‘N’ indicates ‘Normal’, meaning non-transgenic) and Uruguayan transgenic germplasm (UY_T). Using the “Zhongdouxin No. 1” SNP array and multi-environment phenotypic data. Uruguayan germplasm exhibited significantly higher mean oil content (21.48%) than Chinese germplasm (19.42%, p < 0.001), with high heritability (H2 ranging from 0.78 to 0.92). Genetic analysis revealed significant differentiation (mean FST = 0.14), with Uruguayan lines showing reduced diversity due to breeding bottlenecks. Genome-wide scans identified differentiation in genomic regions harboring known lipid biosynthesis genes; notably, the high-oil allele frequency of GmDGAT1 was 78.3% in Uruguayan germplasm versus 25.7% in Chinese lines, and the favorable GmbZIP123 haplotype was fixed in the Uruguayan population. Uruguayan accessions also carried significantly more favorable alleles (18.3) than Chinese accessions (14.8). We conclude that high-oil traits in Uruguayan soybean result from the systematic stacking of favorable haplotypes at key loci via directional selection. Consequently, we propose incorporating South American high-oil allelic modules into the broadly adapted genetic backgrounds of Chinese cultivars to bridge the oil content gap.

1 October 2026 in The Crop Journal
Verified
Journal Article
Open access
ZZZheng-Wei Zhang
Zheng-Wei Zhang
YCYijie Chen
Yijie Chen
YZYuyang Zhao
Yuyang Zhao
JSJian Song
Jian Song
JWJun Wang
Jun Wang
LQLi-Juan Qiu
Li-Juan Qiu