Cargando…

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. ABSTRACT: Meal prot...

Descripción completa

Detalles Bibliográficos
Autores principales: Patil, Gunvant, Mian, Rouf, Vuong, Tri, Pantalone, Vince, Song, Qijian, Chen, Pengyin, Shannon, Grover J., Carter, Tommy C., Nguyen, Henry T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5606949/
https://www.ncbi.nlm.nih.gov/pubmed/28801731
http://dx.doi.org/10.1007/s00122-017-2955-8
_version_ 1783265215988629504
author Patil, Gunvant
Mian, Rouf
Vuong, Tri
Pantalone, Vince
Song, Qijian
Chen, Pengyin
Shannon, Grover J.
Carter, Tommy C.
Nguyen, Henry T.
author_facet Patil, Gunvant
Mian, Rouf
Vuong, Tri
Pantalone, Vince
Song, Qijian
Chen, Pengyin
Shannon, Grover J.
Carter, Tommy C.
Nguyen, Henry T.
author_sort Patil, Gunvant
collection PubMed
description 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. ABSTRACT: 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00122-017-2955-8) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5606949
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-56069492017-10-04 Molecular mapping and genomics of soybean seed protein: a review and perspective for the future Patil, Gunvant Mian, Rouf Vuong, Tri Pantalone, Vince Song, Qijian Chen, Pengyin Shannon, Grover J. Carter, Tommy C. Nguyen, Henry T. Theor Appl Genet Review 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. ABSTRACT: 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00122-017-2955-8) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2017-08-11 2017 /pmc/articles/PMC5606949/ /pubmed/28801731 http://dx.doi.org/10.1007/s00122-017-2955-8 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Review
Patil, Gunvant
Mian, Rouf
Vuong, Tri
Pantalone, Vince
Song, Qijian
Chen, Pengyin
Shannon, Grover J.
Carter, Tommy C.
Nguyen, Henry T.
Molecular mapping and genomics of soybean seed protein: a review and perspective for the future
title Molecular mapping and genomics of soybean seed protein: a review and perspective for the future
title_full Molecular mapping and genomics of soybean seed protein: a review and perspective for the future
title_fullStr Molecular mapping and genomics of soybean seed protein: a review and perspective for the future
title_full_unstemmed Molecular mapping and genomics of soybean seed protein: a review and perspective for the future
title_short Molecular mapping and genomics of soybean seed protein: a review and perspective for the future
title_sort molecular mapping and genomics of soybean seed protein: a review and perspective for the future
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5606949/
https://www.ncbi.nlm.nih.gov/pubmed/28801731
http://dx.doi.org/10.1007/s00122-017-2955-8
work_keys_str_mv AT patilgunvant molecularmappingandgenomicsofsoybeanseedproteinareviewandperspectiveforthefuture
AT mianrouf molecularmappingandgenomicsofsoybeanseedproteinareviewandperspectiveforthefuture
AT vuongtri molecularmappingandgenomicsofsoybeanseedproteinareviewandperspectiveforthefuture
AT pantalonevince molecularmappingandgenomicsofsoybeanseedproteinareviewandperspectiveforthefuture
AT songqijian molecularmappingandgenomicsofsoybeanseedproteinareviewandperspectiveforthefuture
AT chenpengyin molecularmappingandgenomicsofsoybeanseedproteinareviewandperspectiveforthefuture
AT shannongroverj molecularmappingandgenomicsofsoybeanseedproteinareviewandperspectiveforthefuture
AT cartertommyc molecularmappingandgenomicsofsoybeanseedproteinareviewandperspectiveforthefuture
AT nguyenhenryt molecularmappingandgenomicsofsoybeanseedproteinareviewandperspectiveforthefuture