Molecular mapping and genomics of soybean seed protein: a review and perspective for the future

Key message Genetic improvement of soybean protein meal is a complex process because of negative correlation with oil, yield, and temperature. This review describes the progress in mapping and genomics, identifies knowledge gaps, and highlights the need of integrated approaches. Meal protein derived...

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Bibliographic Details
Published in:	Theoretical and applied genetics Vol. 130; no. 10; pp. 1975 - 1991
Main Authors:	Patil, Gunvant, Mian, Rouf, Vuong, Tri, Pantalone, Vince, Song, Qijian, Chen, Pengyin, Shannon, Grover J., Carter, Tommy C., Nguyen, Henry T.
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01-10-2017 Springer Springer Nature B.V
Subjects:	Agriculture Amino acids Animal feed Biochemistry Biomedical and Life Sciences Biotechnology Breeding Chromosome Mapping DNA sequencing Environmental effects Gene expression Gene mapping Genetic aspects Genome-wide association studies Genomes Genomics Genotyping Glycine Glycine max - genetics Integration Life Sciences Limiting factors Livestock Livestock feed Methods Nutrient content Peptide mapping Plant Biochemistry Plant Breeding Plant Breeding/Biotechnology Plant Genetics and Genomics Protein sources Proteins Quantitative Trait Loci Review Reviews Seeds - genetics Soybean Proteins - genetics Soybeans Sucrose Sugar Synteny Temperature
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Summary:	Key message Genetic improvement of soybean protein meal is a complex process because of negative correlation with oil, yield, and temperature. This review describes the progress in mapping and genomics, identifies knowledge gaps, and highlights the need of integrated approaches. Meal protein derived from soybean [ Glycine max (L) Merr.] seed is the primary source of protein in poultry and livestock feed. Protein is a key factor that determines the nutritional and economical value of soybean. Genetic improvement of soybean seed protein content is highly desirable, and major quantitative trait loci (QTL) for soybean protein have been detected and repeatedly mapped on chromosomes (Chr.) 20 ( LG - I ), and 15 ( LG - E ). However, practical breeding progress is challenging because of seed protein content’s negative genetic correlation with seed yield, other seed components such as oil and sucrose, and interaction with environmental effects such as temperature during seed development. In this review, we discuss rate-limiting factors related to soybean protein content and nutritional quality, and potential control factors regulating seed storage protein. In addition, we describe advances in next-generation sequencing technologies for precise detection of natural variants and their integration with conventional and high-throughput genotyping technologies. A syntenic analysis of QTL on Chr. 15 and 20 was performed. Finally, we discuss comprehensive approaches for integrating protein and amino acid QTL, genome-wide association studies, whole-genome resequencing, and transcriptome data to accelerate identification of genomic hot spots for allele introgression and soybean meal protein improvement.
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-1 Communicated by Rajeev K. Varshney.
ISSN:	0040-5752 1432-2242
DOI:	10.1007/s00122-017-2955-8