Positive Health Online

Abstract

PATIL and COLLEAGUES, 1. Division of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA; 2. Soybean and Nitrogen Fixation Unit, USDA-ARS, Raleigh, NC, 27607, USA. rouf.mian@ars.usda.gov; 3. Department of Plant Sciences, University of Tennessee, Knoxville, TN, 37996-4561, USA; 4. Agricultural Research Service, Department of Agriculture United States, Beltsville, MD, 20705, USA; 5. Soybean and Nitrogen Fixation Unit, USDA-ARS, Raleigh, NC, 27607, USA; 6. Division of Plant Sciences, University of Missouri, Columbia, MO, 65211, USA nguyenhenry@missouri.edu reviewed the literature of molecular mapping and genomics of soybean seed protein and present a perspective for the future.

Background

Genetic improvement of soybean protein meal is a complex process because of negative correlation with oil, yield, and temperature.

Methodology

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).

Results

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.

Conclusion

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.

References

Patil G1, Mian R2, Vuong T1, Pantalone V3, Song Q4, Chen P1, Shannon GJ1, Carter TC5, Nguyen HT6. Molecular mapping and genomics of soybean seed protein: a review and perspective for the future. Theor Appl Genet. 130(10):1975-1991. Oct 2017. doi: 10.1007/s00122-017-2955-8. Epub Aug 11 2017.