POWR1 is a domestication gene pleiotropically regulating seed quality and yield in soybean

Goettel, Wolfgang; Zhang, Hengyou; Liu, Ying; Qiao, Zhenzhen; He, Jialin; Hou, Dan; Song, Qijian; Pantalone, Vincent R.; Song, Bao‐Hua; Yu, Deyue; An, Yong-Qiang Charles

doi:10.1038/s41467-022-30314-7

Cited by 61 publications

(73 citation statements)

References 67 publications

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“…Furthermore, some soybean sugar transporters such as GmSWEET10a, GmSWEET10b and GmSWEET39 had pleiotropic effect on seed protein and oil content (Miao et al2020;Wang et al 2020b;Zhang et al 2020). POWR1 (Protein, Oil, Weight, Regulator 1) gene plays a critical role in controlling the seed quality and yield traits by regulating likely nutrient transport and lipid metabolism, and transgenic study demonstrated that the high-protein POWR1 allele may be employed to meet the worldwide requirement for high-protein soybean in the breeding process (Goettel et al 2022).…”

Section: Soybean Protein Content-related Genesmentioning

confidence: 99%

Soybean genetic resources contributing to sustainable protein production

Guo

Sun²,

Ren³

et al. 2022

Theor Appl Genet

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Key message Genetic resources contributes to the sustainable protein production in soybean. Abstract Soybean is an important crop for food, oil, and forage and is the main source of edible vegetable oil and vegetable protein. It plays an important role in maintaining balanced dietary nutrients for human health. The soybean protein content is a quantitative trait mainly controlled by gene additive effects and is usually negatively correlated with agronomic traits such as the oil content and yield. The selection of soybean varieties with high protein content and high yield to secure sustainable protein production is one of the difficulties in soybean breeding. The abundant genetic variation of soybean germplasm resources is the basis for overcoming the obstacles in breeding for soybean varieties with high yield and high protein content. Soybean has been cultivated for more than 5000 years and has spread from China to other parts of the world. The rich genetic resources play an important role in promoting the sustainable production of soybean protein worldwide. In this paper, the origin and spread of soybean and the current status of soybean production are reviewed; the genetic characteristics of soybean protein and the distribution of resources are expounded based on phenotypes; the discovery of soybean seed protein-related genes as well as transcriptomic, metabolomic, and proteomic studies in soybean are elaborated; the creation and utilization of high-protein germplasm resources are introduced; and the prospect of high-protein soybean breeding is described.

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Section: Soybean Protein Content-related Genesmentioning

confidence: 99%

Soybean genetic resources contributing to sustainable protein production

Guo

Sun²,

Ren³

et al. 2022

Theor Appl Genet

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“…20 (Diers et al, 1992;Hwang et al, 2014;Warrington et al, 2015), and it has received extensive attention because of its high additive effects and stability (Diers et al, 1992;Wang et al, 2015;Li et al, 2019;Samanfar et al, 2019;Zhang W et al, 2019;Li et al, 2021;Goettel et al, 2022). Glyma.20G085100 (POWR1) was recently reported as a causative gene of chr20 QTL; a transposable element insertion in its conserved CCT domain produced seeds with increased oil content and weight and decreased PC (Goettel et al, 2022). However, few QTL or genes related to PC have been applied in breeding due to…”

Section: Discussionmentioning

confidence: 99%

Identification of loci governing soybean seed protein content via genome-wide association study and selective signature analyses

Zhang

et al. 2022

Front. Plant Sci.

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Soybean [Glycine max (L.) Merr.] is an excellent source of protein. Understanding the genetic basis of protein content (PC) will accelerate breeding efforts to increase soybean quality. In the present study, a genome-wide association study (GWAS) was applied to detect quantitative trait loci (QTL) for PC in soybean using 264 re-sequenced soybean accessions and a high-quality single nucleotide polymorphism (SNP) map. Eleven QTL were identified as associated with PC. The QTL qPC-14 was detected by GWAS in both environments and was shown to have undergone strong selection during soybean improvement. Fifteen candidate genes were identified in qPC-14, and three candidate genes showed differential expression between a high-PC and a low-PC variety during the seed development stage. The QTL identified here will be of significant use in molecular breeding efforts, and the candidate genes will play essential roles in exploring the mechanisms of protein biosynthesis.

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“…The 100-seed weight is an important yield-related trait, and also one of the targets under selection during soybean domestication (Duan et al 2022;Goettel et al 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Recently, the natural variations of three genes were found associated with soybean seed size/weight, including GmST1, GmST5, and POWR1 (Duan et al 2022;Goettel et al 2022;Li et al 2022). Both GmST1 (Glyma.08g109100, encoding a UDP-D-glucuronate 4-epimerase) and GmST05 (Glyma.05G244100, encoding a member of the FT and TFL1 family of phosphatidylethanolamine-binding protein) function as positive regulators of seed thickness, seed length, seed width, and 100-seed weight in soybean (Duan et al 2022;Li et al 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Both GmST1 (Glyma.08g109100, encoding a UDP-D-glucuronate 4-epimerase) and GmST05 (Glyma.05G244100, encoding a member of the FT and TFL1 family of phosphatidylethanolamine-binding protein) function as positive regulators of seed thickness, seed length, seed width, and 100-seed weight in soybean (Duan et al 2022;Li et al 2022). POWR1 (Glyma.20G085100), encoding a CCT (CONSTANS, CONSTANS-like, TOC1) motif-containing protein, was found to have pleiotropic effects on seed weight/yield, oil and protein content (Goettel et al 2022).…”

Section: Introductionmentioning

confidence: 99%

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Identification of major quantitative trait loci and candidate genes for seed weight in soybean

Kong

Miao

et al. 2022

Preprint

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Seed weight is an important target of soybean breeding. However, the genes underlying the major quantitative trait loci (QTL) controlling seed weight remain largely unknown. In this study, a soybean population of 300 recombinant inbred lines (RILs) derived from a cross between PI595843 (PI) and WH was used to map the QTL and identify candidate genes for seed weight. The RIL population was genotyped through whole genome resequencing, and phenotyped for 100-seed weight under five environments. A total of 38 QTL were detected, and four major QTL, each explained at least 10% of the variation in 100-seed weight, were identified. Six candidate genes within these four major QTL regions were identified by analyses of their tissue expression patterns, gene annotations, and differential gene expression levels in soybean seeds during four developmental stages between two parental lines. Further sequence variation analyses revealed a C to T substitution in the first exon of the Glyma.19G143300, resulting in an amino acid change between PI and WH, and thus leading to a different predicted kinase domain, which might affect its protein function. Glyma.19G143300 is highly expressed in soybean seeds and encodes a leucine-rich repeat receptor-like protein kinase (LRR-RLK). Its predicted protein has typical domains of LRR-RLK family, and phylogenetic analyses reveled its similarity with the known LRR-RLK protein XIAO (LOC_Os04g48760), which is involved in controlling seed size. The major QTL and candidate genes identified in this study provide useful information for molecular breeding of new soybean cultivars with desirable seed weight.

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POWR1 is a domestication gene pleiotropically regulating seed quality and yield in soybean

Cited by 61 publications

References 67 publications

Soybean genetic resources contributing to sustainable protein production

Soybean genetic resources contributing to sustainable protein production

Identification of loci governing soybean seed protein content via genome-wide association study and selective signature analyses

Identification of major quantitative trait loci and candidate genes for seed weight in soybean

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