Genome-Wide Association and RNA-Seq Analyses Reveal a Potential Candidate Gene Related to Oil Content in Soybean Seeds DOI Open Access

Hongchang Jia,

Dezhi Han,

Xiaofei Yan

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(15), P. 8134 - 8134

Published: July 25, 2024

Soybean is a crucial crop globally, serving as significant source of unsaturated fatty acids and protein in the human diet. However, further enhancements are required for related genes that regulate soybean oil synthesis. In this study, 155 germplasms were cultivated under three different environmental conditions, followed by phenotypic identification genome-wide association analysis using simplified sequencing data. Genome-wide was performed SLAF-seq A total 36 QTLs significantly associated with content (-log10(

Language: Английский

Genetic regulatory networks of soybean seed size, oil and protein contents DOI Creative Commons
Zongbiao Duan, Qing Li, Hong Wang

et al.

Frontiers in Plant Science, Journal Year: 2023, Volume and Issue: 14

Published: March 7, 2023

As a leading oilseed crop that supplies plant oil and protein for daily human life, increasing yield improving nutritional quality (high or protein) are the top two fundamental goals of soybean breeding. Seed size is one most critical factors determining yield. size, contents complex quantitative traits governed by genetic environmental during seed development. The composition quantity storage reserves directly affect size. In general, make up almost 60% total seed. Therefore, soybean's oil, content highly correlated agronomical traits. Increasing helps increase probably improves quality. Similarly, rising will likely Due to importance these three in breeding, extensive studies have been conducted on their underlying trait locus (QTLs) genes dissection molecular regulatory pathways. This review summarized progress functional genome controlling recent decades, presented challenges prospects developing high-yield cultivars with high content. end, we hope this be helpful improvement future breeding process.

Language: Английский

Citations

33

Identifying Key Traits for Screening High-Yield Soybean Varieties by Combining UAV-Based and Field Phenotyping DOI Creative Commons
Yang Chen, Guijun Yang,

Haorang Wang

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(4), P. 690 - 690

Published: Feb. 18, 2025

The breeding of high-yield varieties is a core objective soybean programs, and phenotypic trait-based selection offers an effective pathway to achieve this goal. aim study was identify the key traits utilize these for screening varieties. In study, UAV (unmanned aerial vehicle)- field-based data were collected from 1923 1015 plots at Xuzhou experimental site in 2022 2023, respectively. First, grouped by using self-organizing map K-means clustering investigate relationships between various yield ones selecting It shown that duration canopy coverage remaining above 90% (Tcc90) critical trait Moreover, typically exhibited several such as rapid development (Tcc90r, time when first reached 90%), prolonged high (Tcc90), delayed decline (Tcc90d, began below moderate-to-high plant height (PH) hundred-grain weight (HGW). Based on findings, method proposed, through which 87% 72% (top 5%) respectively, successfully selected. Additionally, about 9% (in 2022) 10% 2023) low-yielding (bottom 60%) misclassified high-yielding. This demonstrates benefit high-throughput phenotyping yield-related variety provides helpful insights into identifying programs.

Language: Английский

Citations

1

Identification of hub genes regulating isoflavone accumulation in soybean seeds via GWAS and WGCNA approaches DOI Creative Commons
Muhammad Azam, Shengrui Zhang, Jing Li

et al.

Frontiers in Plant Science, Journal Year: 2023, Volume and Issue: 14

Published: Feb. 14, 2023

Isoflavones are the secondary metabolites synthesized by phenylpropanoid biosynthesis pathway in soybean that benefits human and plant health.In this study, we have profiled seed isoflavone content HPLC 1551 accessions grown Beijing Hainan for two consecutive years (2017 2018) Anhui one year (2017).A broad range of phenotypic variations was observed individual total (TIF) content. The TIF ranged from 677.25 to 5823.29 µg g-1 natural population. Using a genome-wide association study (GWAS) based on 6,149,599 single nucleotide polymorphisms (SNPs), identified 11,704 SNPs significantly associated with contents; 75% them were located within previously reported QTL regions isoflavone. Two significant chromosomes 5 11 malonylglycitin across more than 3 environments. Furthermore, WGCNA eight key modules: black, blue, brown, green, magenta, pink, purple, turquoise. Of co-expressed modules, brown (r = 0.68***), magenta 0.64***), green 0.51**) showed positive TIF, as well contents. By combining gene significance, functional annotation, enrichment analysis information, four hub genes Glyma.11G108100, Glyma.11G107100, Glyma.11G106900, Glyma.11G109100 encoding, basic-leucine zipper (bZIP) transcription factor, MYB4 early responsive dehydration, PLATZ factor respectively modules. allelic variation Glyma.11G108100 influenced accumulation.The present demonstrated GWAS approach, combined WGCNA, could efficiently identify candidate

Language: Английский

Citations

19

Mechanisms underlying key agronomic traits and implications for molecular breeding in soybean DOI Creative Commons
Chao Fang, Haiping Du, Lingshuang Wang

et al.

Journal of genetics and genomics/Journal of Genetics and Genomics, Journal Year: 2023, Volume and Issue: 51(4), P. 379 - 393

Published: Sept. 17, 2023

Soybean (Glycine max [L.] Merr.) is an important crop that provides protein and vegetable oil for human consumption. As soybean a photoperiod-sensitive crop, its cultivation yield are limited by the photoperiodic conditions in field. In contrast to other major crops, has special plant architecture symbiotic nitrogen fixation system, representing two unique breeding directions. Thus, flowering time, architecture, three critical or yield-determinative factors. This review summarizes progress made our understanding of these yield-determining factors soybean. Meanwhile, we propose potential research directions increase production, discuss application genomics genomic-assisted breeding, explore address future challenges, particularly those posed global climate change.

Language: Английский

Citations

17

GWAS and WGCNA Analysis Uncover Candidate Genes Associated with Oil Content in Soybean DOI Creative Commons

Xunchao Zhao,

Zhang Yan,

Jie Wang

et al.

Plants, Journal Year: 2024, Volume and Issue: 13(10), P. 1351 - 1351

Published: May 14, 2024

Soybean vegetable oil is an important source of the human diet. However, analysis genetic mechanism leading to changes in soybean content still incomplete. In this study, a total 227 materials were applied and analyzed by genome-wide association study (GWAS). There are 44 quantitative trait nucleotides (QTNs) that identified as associated with content. A six, four, 34 significant QTN loci Xiangyang, Hulan, Acheng, respectively. Of those, 26 QTNs overlapped or near known locus (QTL), 18 new related identified. 594 genes located peak single nucleotide polymorphism (SNP) from three tested environments. These candidate exhibited enrichment tropane, piperidine, pyridine alkaloid biosynthesiss (ko00960), ABC transporters (ko02010), photosynthesis-antenna proteins (ko00196), betalain biosynthesis (ko00965). Combined GWAS weighted gene co-expression network (WGCNA), four (Glyma.18G300100, Glyma.11G221100, Glyma.13G343300, Glyma.02G166100) may regulate addition, Glyma.18G300100 was divided into two main haplotypes studied accessions. The haplotype 1 significantly lower than 2. Our research findings provide theoretical basis for improving regulatory

Language: Английский

Citations

7

Natural variation in GmSW17 controls seed size in soybean DOI Creative Commons
Shan Liang, Zongbiao Duan,

Xuemei He

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Aug. 28, 2024

Seed size/weight plays an important role in determining crop yield, yet only few genes controlling seed size have been characterized soybean. Here, we perform a genome-wide association study and identify major quantitative trait locus (QTL), named GmSW17 (Seed Width 17), on chromosome 17 that determine soybean width/weight natural population. encodes ubiquitin-specific protease, ortholog to UBP22, belonging the protease (USPs/UBPs) family. Further functional investigations reveal interacts with GmSGF11 GmENY2 form deubiquitinase (DUB) module, which influences H2Bub levels negatively regulates expression of GmDP-E2F-1, thereby inhibiting G1-to-S transition. Population analysis demonstrates undergo artificial selection during domestication but has not fixed modern breeding. In summary, our identifies predominant gene related weight, providing potential advantages for high-yield breeding

Language: Английский

Citations

6

A novel miR160aGmARF16GmMYC2 module determines soybean salt tolerance and adaptation DOI
Chaofan Wang, Xiaoming Li, Yongbin Zhuang

et al.

New Phytologist, Journal Year: 2023, Volume and Issue: 241(5), P. 2176 - 2192

Published: Dec. 22, 2023

Summary Salt stress is a major challenge that has negative impact on soybean growth and productivity. Therefore, it important to understand the regulatory mechanism of salt response ensure yield under such conditions. In this study, we identified characterized miR160a–GmARF16–GmMYC2 module its regulation during salt–stress in soybean. miR160a promotes tolerance by cleaving GmARF16 transcripts, members Auxin Response Factor ( ARF ) family, which negatively regulates tolerance. turn, activates GmMYC2 , encoding bHLH transcription factor reduces salinity down‐regulating proline biosynthesis. Genomic analysis among wild cultivated accessions four distinct haplotypes. Among them, H3 haplotype preferentially enriched localities with relatively saline soils, suggesting was artificially selected improve Our findings therefore provide insights into molecular mechanisms underlying valuable genetic targets for breeding

Language: Английский

Citations

16

Natural variation in Fatty Acid 9 is a determinant of fatty acid and protein content DOI Creative Commons
Zhaoming Qi, Chaocheng Guo, Haiyang Li

et al.

Plant Biotechnology Journal, Journal Year: 2023, Volume and Issue: 22(3), P. 759 - 773

Published: Nov. 8, 2023

Summary Soybean is one of the most economically important crops worldwide and an source unsaturated fatty acids protein for human diet. Consumer demand healthy fats oils increasing, global vegetable oil expected to double by 2050. Identification key genes that regulate seed acid content can facilitate molecular breeding high‐quality soybean varieties with enhanced profiles. Here, we analysed genetic architecture underlying variations in using 547 accessions, including mainly landraces cultivars from northeastern China. Through profiling, genome re‐sequencing, population genomics analyses, GWAS, identified a SEIPIN homologue at FA9 locus as contributor content. Transgenic multiomics analyses confirmed was regulator pleiotropic effects on size. We two major haplotypes 1295 resequenced accessions assessed their phenotypic field planting 424 accessions. carrying H2 had significantly higher total contents lower than those H1 . absent wild soybeans but present 13% 26% cultivars, suggesting it may have been selected during post‐domestication improvement. therefore represents useful resource specific storage

Language: Английский

Citations

15

Identification of a Branch Number Locus in Soybean Using BSA-Seq and GWAS Approaches DOI Open Access
Dongqing Dai, Lu Huang, Xiaoyan Zhang

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(2), P. 873 - 873

Published: Jan. 10, 2024

The determination of the soybean branch number plays a pivotal role in plant morphogenesis and yield components. This polygenic trait is subject to environmental influences, despite its significance, genetic mechanisms governing branching remain incompletely understood. To unravel these mechanisms, we conducted comprehensive investigation employing genome-wide association study (GWAS) bulked sample analysis (BSA). GWAS revealed 18 SNPs associated with number, among which

Language: Английский

Citations

4

The type III effector NopL interacts with GmREM1a and GmNFR5 to promote symbiosis in soybean DOI Creative Commons
Chao Ma, Jinhui Wang,

Yongkang Gao

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: July 12, 2024

Abstract The establishment of symbiotic interactions between leguminous plants and rhizobia requires complex cellular programming activated by Rhizobium Nod factors (NFs) as well type III effector (T3E)-mediated signaling. However, the mechanisms which different signals jointly affect symbiosis are still unclear. Here we describe mediating cross-talk broad host range Sinorhizobium fredii HH103 T3E Nodulation Outer Protein L (NopL) NF signaling in soybean. NopL physically interacts with Glycine max Remorin 1a (GmREM1a) NFs receptor NFR5 (GmNFR5) promotes GmNFR5 recruitment GmREM1a. Furthermore, influence expression GmRINRK1 , a receptor-like kinase (LRR-RLK) ortholog Lotus RINRK1, that mediates Taken together, our work indicates S. can interact cascade components to promote interaction

Language: Английский

Citations

4