Genetic mapping and functional genomics of soybean seed protein

Liu, Shu; Liu, Zhaojun; Hou, Xue‐Long; Li, Xiaoming

doi:10.1007/s11032-023-01373-5

Cited by 8 publications

(11 citation statements)

References 235 publications

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“…In crop breeding, seed size is one of the most important agronomic traits that needs to be considered first. It is an important factor in determining soybean production, seed consumption, and evolutionary fitness [ 8 , 9 , 10 ]. Seed size is a quantitative trait controlled by multiple genes and is constrained by environmental factors [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Construction of Genetic Map and QTL Mapping for Seed Size and Quality Traits in Soybean (Glycine max L.)

Gao,

Ma,

et al. 2024

IJMS

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Soybean (Glycine max L.) is the main source of vegetable protein and edible oil for humans, with an average content of about 40% crude protein and 20% crude fat. Soybean yield and quality traits are mostly quantitative traits controlled by multiple genes. The quantitative trait loci (QTL) mapping for yield and quality traits, as well as for the identification of mining-related candidate genes, is of great significance for the molecular breeding and understanding the genetic mechanism. In this study, 186 individual plants of the F2 generation derived from crosses between Changjiangchun 2 and Yushuxian 2 were selected as the mapping population to construct a molecular genetic linkage map. A genetic map containing 445 SSR markers with an average distance of 5.3 cM and a total length of 2375.6 cM was obtained. Based on constructed genetic map, 11 traits including hundred-seed weight (HSW), seed length (SL), seed width (SW), seed length-to-width ratio (SLW), oil content (OIL), protein content (PRO), oleic acid (OA), linoleic acid (LA), linolenic acid (LNA), palmitic acid (PA), stearic acid (SA) of yield and quality were detected by the multiple- d size traits and 113 QTLs related to quality were detected by the multiple QTL model (MQM) mapping method across generations F2, F2:3, F2:4, and F2:5. A total of 71 QTLs related to seed size traits and 113 QTLs related to quality traits were obtained in four generations. With those QTLs, 19 clusters for seed size traits and 20 QTL clusters for quality traits were summarized. Two promising clusters, one related to seed size traits and the other to quality traits, have been identified. The cluster associated with seed size traits spans from position 27876712 to 29009783 on Chromosome 16, while the cluster linked to quality traits spans from position 12575403 to 13875138 on Chromosome 6. Within these intervals, a reference genome of William82 was used for gene searching. A total of 36 candidate genes that may be involved in the regulation of soybean seed size and quality were screened by gene functional annotation and GO enrichment analysis. The results will lay the theoretical and technical foundation for molecularly assisted breeding in soybean.

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Section: Introductionmentioning

confidence: 99%

Construction of Genetic Map and QTL Mapping for Seed Size and Quality Traits in Soybean (Glycine max L.)

Gao,

Ma,

et al. 2024

IJMS

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“…Asian countries, such as Korea, Japan, China, and Indonesia, have a strong cultural tradition of consuming soy-based products. Recently, the consumption of traditional soy-based products has surged globally, dominating the global protein market [3][4][5][6]. This substantial growth is attributed to changing dietary preferences and the shifting behavior of consumers towards more sustainable and environmentally friendly food choices [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…Soybean protein research has gained increasing interest because of its significance. Many researchers have aimed to explore the genetic aspects of the protein traits in soybeans through quantitative trait loci (QTL) and genome-wide association studies (GWAS) [2,4]. The seed protein traits in soybeans are linked with the seed oil content and weight.…”

Section: Introductionmentioning

confidence: 99%

“…The seed protein traits in soybeans are linked with the seed oil content and weight. These quantitative traits are complex and influenced by multiple genes and environmental factors [4,11,12]. In particular, soybean seed storage proteins are influenced by multiple factors, including major transcription factors, phytohormones, protein accumulation, storage protein regulation and deposition, and environmental factors [4].…”

Section: Introductionmentioning

confidence: 99%

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QTLs and Candidate Genes for Seed Protein Content in Two Recombinant Inbred Line Populations of Soybean

Park,

Seo,

Kang

et al. 2023

Plants

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This study aimed to discover the quantitative trait loci (QTL) associated with a high seed protein content in soybean and unravel the potential candidate genes. We developed two recombinant inbred line populations: YS and SI, by crossing Saedanbaek (high protein) with YS2035-B-91-1-B-1 (low protein) and Saedanbaek with Ilmi (low protein), respectively, and evaluated the protein content for three consecutive years. Using single-nucleotide polymorphism (SNP)-marker-based linkage maps, four QTLs were located on chromosomes 15, 18, and 20 with high logarithm of odds values (5.9–55.0), contributing 5.5–66.0% phenotypic variance. In all three experimental years, qPSD20-1 and qPSD20-2 were stable and identified in overlapping positions in the YS and SI populations, respectively. Additionally, novel QTLs were identified on chromosomes 15 and 18. Considering the allelic sequence variation between parental lines, 28 annotated genes related to soybean seed protein—including starch, lipid, and fatty acid biosynthesis-related genes—were identified within the QTL regions. These genes could potentially affect protein accumulation during seed development, as well as sucrose and oil metabolism. Overall, this study offers insights into the genetic mechanisms underlying a high soybean protein content. The identified potential candidate genes can aid marker-assisted selection for developing soybean lines with an increased protein content.

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“…The second one is that practical breeding progress increases seed protein but decreases yield. Given that seed protein contents have a negative genetic correlation with seed yield, other seed components such as oil and sucrose, along with interactions with environmental effects such as temperature during seed development [ 12 , 13 , 14 ]. To reduce these obstacles, the development of soybean cultivars with enhanced protein and amino acid content would further increase the crop’s economic value and would contribute to enriching the entire value chain, from farmers to processors to end-users [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Proteomic Profile of Soybean Bran: Unlocking the Potential for Improving Protein Quality and Quantity

Molinari¹,

Fuganti-Pagliarini²,

Yoshida

et al. 2023

Plants

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Soybean is a rich source of vegetal protein for both animal and human consumption. Despite the high levels of protein in soybean seeds, industrial processing to obtain soybean bran significantly decreases the final protein content of the byproducts. To overcome this problem, cultivars with higher protein contents must be developed. However, selecting the target proteins is difficult because of the lack of information on the proteome profile of soybean bran. Therefore, this study obtained the comparative proteomic profiles of both natural coatless seeds and defatted bran from an elite tropical-soybean cultivar. Thus, their extracts were characterized using LC–MS/MS and a total of 550 proteins were identified. Among these, 526 proteins were detected in coatless seeds and 319 proteins in defatted bran. Moreover, a total of 139 proteins were identified as presenting different levels of content in coatless seeds and defatted bran. Among them, only 46 were retained after the seed processing. These proteins were clustered in several important metabolic pathways, such as amino-acid biosynthesis, sugar biosynthesis, and antioxidant activity, meaning that they could act as targets for bioactive products or genome editing to improve protein quality and quantity in soybean grains. These findings can enhance our understanding regarding protein robustness for both soybean crops and the commercial bran improvement because target proteins must remain intact after processing and must be bioactive when overexpressed. Overall, the soybean bran proteomic profile was explored for the first time, providing a valuable catalogue of target proteins that can tolerate the industrial process.

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Genetic mapping and functional genomics of soybean seed protein

Cited by 8 publications

References 235 publications

Construction of Genetic Map and QTL Mapping for Seed Size and Quality Traits in Soybean (Glycine max L.)

Construction of Genetic Map and QTL Mapping for Seed Size and Quality Traits in Soybean (Glycine max L.)

QTLs and Candidate Genes for Seed Protein Content in Two Recombinant Inbred Line Populations of Soybean

Exploring the Proteomic Profile of Soybean Bran: Unlocking the Potential for Improving Protein Quality and Quantity

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