Integration of Major QTLs of Important Agronomic Traits in Soybean

Hu, Guohua; Chen, Qingshan; Liu, Chunyan; Jiang, Hongwei; Wang, Jialin; Qi, Zhaoming

doi:10.5772/14396

Cited by 5 publications

(3 citation statements)

References 98 publications

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“…This finding should be partly explained by the fact that the artificial selection of asparagus bean plants in the more humid Asia (compared to west Africa) has primarily targeted pod quality traits (e.g., length, softness and flavor) and with less attention paid to drought resistance. In further support of this explanation, it has been found that drought-resistant traits and pod traits are genetically governed by largely independent regions/loci (Hu, 2011 ; Xu et al, 2013 ; this study). This genetic architecture also indicates that the prospects for developing more drought-resistant varieties without impairing pod quality are promising.…”

Section: Discussionsupporting

confidence: 74%

Natural variation and gene regulatory basis for the responses of asparagus beans to soil drought

Moshelion

et al. 2015

Front. Plant Sci.

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Asparagus bean (Vigna unguiculata ssp. sesquipedalis) is the Asian subspecies of cowpea, a drought-resistant legume crop native to Africa. In order to explore the genetic variation of drought responses in asparagus bean, we conducted multi-year phenotyping of drought resistance traits across the Chinese asparagus bean mini-core. The phenotypic distribution indicated that the ssp. sesquipedalis subgene pool has maintained high natural variation in drought responses despite known domestic bottleneck. Thirty-nine SNP loci were found to show an association with drought resistance via a genome-wide association study (GWAS). Whole-plant water relations were compared among four genotypes by lysimetric assay. Apparent genotypic differences in transpiration patterns and the critical soil water threshold in relation to dehydration avoidance were observed, indicating a delicate adaptive mechanism for each genotype to its own climate. Microarray gene expression analyses revealed that known drought resistance pathways such as the ABA and phosphate lipid signaling pathways are conserved between different genotypes, while differential regulation of certain aquaporin genes and hormonal genes may be important for the genotypic differences. Our results suggest that divergent sensitivity to soil water content is an important mechanism configuring the genotypic specific responses to water deficit. The SNP markers identified provide useful resources for marker-assisted breeding.

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Section: Discussionsupporting

confidence: 74%

Natural variation and gene regulatory basis for the responses of asparagus beans to soil drought

Moshelion

et al. 2015

Front. Plant Sci.

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“…Linolenic acid QTL deposited in SoyBase were identified using diverse populations (type and size), which were evaluated in different environments and analyzed with various methods. Using a meta analysis of publicly available QTL information, Hu et al ( 2011 ) integrated major QTL for numerous important agronomic traits including fatty acids. They identified three regions containing linolenic acid QTL: three overlapping linolenic acid QTL on chromosome Gm14 (B2) between markers Sat_230 and Satt560, a single QTL on chromosome Gm18 (G) between markers Satt356 and Sat_290 and two regions each with two overlapping QTL on chromosome Gm15 (E).…”

Section: Discussionmentioning

confidence: 99%

Microsomal Omega-3 Fatty Acid Desaturase Genes in Low Linolenic Acid Soybean Line RG10 and Validation of Major Linolenic Acid QTL

Reinprecht

Pauls

2016

Front. Genet.

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High levels of linolenic acid (80 g kg −1 ) are associated with the development of off-flavors and poor stability in soybean oil. The development of low linolenic acid lines such as RG10 (20 g kg −1 linolenic acid) can reduce these problems. The level of linolenic acid in seed oil is determined by the activities of microsomal omega-3 fatty acid desaturases (FAD3). A major linolenic acid QTL (>70% of variation) on linkage group B2 (chromosome Gm14) was previously detected in a recombinant inbred line population from the RG10 × OX948 cross. The objectives of this study were to validate the major linolenic acid QTL in an independent population and characterize all the soybean FAD3 genes. Four FAD3 genes were sequenced and localized in RG10 and OX948 and compared to the genes in the reference Williams 82 genome. The FAD3A gene sequences mapped to the locus Glyma.14g194300 [on the chromosome Gm14 (B2)], which is syntenic to the FAD3B gene (locus Glyma.02g227200) on the chromosome Gm02 (D1b). The location of the FAD3A gene is the same as was previously determined for the fan allele, that conditions low linolenic acid content and several linolenic acid QTL, including Linolen 3-3, mapped previously with the RG10 × OX948 population and confirmed in the PI 361088B × OX948 population as Linolen-PO (FAD3A). The FAD3B gene-based marker, developed previously, was mapped to the chromosome Gm02 (D1b) in a region containing a newly detected linolenic acid QTL [Linolen-RO(FAD3B)] in the RG10 × OX948 genetic map and corresponds well with the in silico position of the FAD3B gene sequences. FAD3C and FAD3D gene sequences, mapped to syntenic regions on chromosomes Gm18 (locus Glyma.18g062000) and Gm11 (locus Glyma.11g227200), respectively. Association of linolenic acid QTL with the desaturase genes FAD3A and FAD3 B, their validation in an independent population, and development of FAD3 gene-specific markers should simplify and accelerate breeding for low linolenic acid soybean cultivars.

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“…In addition, because there is a negative correlation between seed yield and protein content [ 4 ], high-protein varieties need to be developed with care. In addition to being easily influenced by environmental factors, the protein and oil content of soybean seeds is regulated by the polygenes and quantitatively inherited [ 5 , 6 ]. These polygenes can be divided into major genes, which are less influenced by the environment and that have a significant influence on these levels; and minor genes, which have a weaker influence.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Trait Loci (QTL) Analysis of Seed Protein and Oil Content in Wild Soybean (Glycine soja)

Kim

Kang

Moon

et al. 2023

IJMS

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Soybean seeds consist of approximately 40% protein and 20% oil, making them one of the world’s most important cultivated legumes. However, the levels of these compounds are negatively correlated with each other and regulated by quantitative trait loci (QTL) that are controlled by several genes. In this study, a total of 190 F2 and 90 BC1F2 plants derived from a cross of Daepung (Glycine max) with GWS-1887 (G. soja, a source of high protein), were used for the QTL analysis of protein and oil content. In the F2:3 populations, the average protein and oil content was 45.52% and 11.59%, respectively. A QTL associated with protein levels was detected at Gm20_29512680 on chr. 20 with a likelihood of odds (LOD) of 9.57 and an R2 of 17.2%. A QTL associated with oil levels was also detected at Gm15_3621773 on chr. 15 (LOD: 5.80; R2: 12.2%). In the BC1F2:3 populations, the average protein and oil content was 44.25% and 12.14%, respectively. A QTL associated with both protein and oil content was detected at Gm20_27578013 on chr. 20 (LOD: 3.77 and 3.06; R2 15.8% and 10.7%, respectively). The crossover to the protein content of BC1F3:4 population was identified by SNP marker Gm20_32603292. Based on these results, two genes, Glyma.20g088000 (S-adenosyl-l-methionine-dependent methyltransferases) and Glyma.20g088400 (oxidoreductase, 2-oxoglutarate-Fe(II) oxygenase family protein), in which the amino acid sequence had changed and a stop codon was generated due to an InDel in the exon region, were identified.

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Integration of Major QTLs of Important Agronomic Traits in Soybean

Cited by 5 publications

References 98 publications

Natural variation and gene regulatory basis for the responses of asparagus beans to soil drought

Natural variation and gene regulatory basis for the responses of asparagus beans to soil drought

Microsomal Omega-3 Fatty Acid Desaturase Genes in Low Linolenic Acid Soybean Line RG10 and Validation of Major Linolenic Acid QTL

Quantitative Trait Loci (QTL) Analysis of Seed Protein and Oil Content in Wild Soybean (Glycine soja)

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