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Association mapping of starch chain length distribution and amylose content in pea (Pisum sativum L.) using carbohydrate metabolism candidate genes
BACKGROUND: Although starch consists of large macromolecules composed of glucose units linked by α-1,4-glycosidic linkages with α-1,6-glycosidic branchpoints, variation in starch structural and functional properties is found both within and between species. Interest in starch genetics is based on th...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5540500/ https://www.ncbi.nlm.nih.gov/pubmed/28764648 http://dx.doi.org/10.1186/s12870-017-1080-9 |
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author | Carpenter, Margaret A. Shaw, Martin Cooper, Rebecca D. Frew, Tonya J. Butler, Ruth C. Murray, Sarah R. Moya, Leire Coyne, Clarice J. Timmerman-Vaughan, Gail M. |
author_facet | Carpenter, Margaret A. Shaw, Martin Cooper, Rebecca D. Frew, Tonya J. Butler, Ruth C. Murray, Sarah R. Moya, Leire Coyne, Clarice J. Timmerman-Vaughan, Gail M. |
author_sort | Carpenter, Margaret A. |
collection | PubMed |
description | BACKGROUND: Although starch consists of large macromolecules composed of glucose units linked by α-1,4-glycosidic linkages with α-1,6-glycosidic branchpoints, variation in starch structural and functional properties is found both within and between species. Interest in starch genetics is based on the importance of starch in food and industrial processes, with the potential of genetics to provide novel starches. The starch metabolic pathway is complex but has been characterized in diverse plant species, including pea. RESULTS: To understand how allelic variation in the pea starch metabolic pathway affects starch structure and percent amylose, partial sequences of 25 candidate genes were characterized for polymorphisms using a panel of 92 diverse pea lines. Variation in the percent amylose composition of extracted seed starch and (amylopectin) chain length distribution, one measure of starch structure, were characterized for these lines. Association mapping was undertaken to identify polymorphisms associated with the variation in starch chain length distribution and percent amylose, using a mixed linear model that incorporated population structure and kinship. Associations were found for polymorphisms in seven candidate genes plus Mendel’s r locus (which conditions the round versus wrinkled seed phenotype). The genes with associated polymorphisms are involved in the substrate supply, chain elongation and branching stages of the pea carbohydrate and starch metabolic pathways. CONCLUSIONS: The association of polymorphisms in carbohydrate and starch metabolic genes with variation in amylopectin chain length distribution and percent amylose may help to guide manipulation of pea seed starch structural and functional properties through plant breeding. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-017-1080-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5540500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55405002017-08-07 Association mapping of starch chain length distribution and amylose content in pea (Pisum sativum L.) using carbohydrate metabolism candidate genes Carpenter, Margaret A. Shaw, Martin Cooper, Rebecca D. Frew, Tonya J. Butler, Ruth C. Murray, Sarah R. Moya, Leire Coyne, Clarice J. Timmerman-Vaughan, Gail M. BMC Plant Biol Research Article BACKGROUND: Although starch consists of large macromolecules composed of glucose units linked by α-1,4-glycosidic linkages with α-1,6-glycosidic branchpoints, variation in starch structural and functional properties is found both within and between species. Interest in starch genetics is based on the importance of starch in food and industrial processes, with the potential of genetics to provide novel starches. The starch metabolic pathway is complex but has been characterized in diverse plant species, including pea. RESULTS: To understand how allelic variation in the pea starch metabolic pathway affects starch structure and percent amylose, partial sequences of 25 candidate genes were characterized for polymorphisms using a panel of 92 diverse pea lines. Variation in the percent amylose composition of extracted seed starch and (amylopectin) chain length distribution, one measure of starch structure, were characterized for these lines. Association mapping was undertaken to identify polymorphisms associated with the variation in starch chain length distribution and percent amylose, using a mixed linear model that incorporated population structure and kinship. Associations were found for polymorphisms in seven candidate genes plus Mendel’s r locus (which conditions the round versus wrinkled seed phenotype). The genes with associated polymorphisms are involved in the substrate supply, chain elongation and branching stages of the pea carbohydrate and starch metabolic pathways. CONCLUSIONS: The association of polymorphisms in carbohydrate and starch metabolic genes with variation in amylopectin chain length distribution and percent amylose may help to guide manipulation of pea seed starch structural and functional properties through plant breeding. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-017-1080-9) contains supplementary material, which is available to authorized users. BioMed Central 2017-08-01 /pmc/articles/PMC5540500/ /pubmed/28764648 http://dx.doi.org/10.1186/s12870-017-1080-9 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Carpenter, Margaret A. Shaw, Martin Cooper, Rebecca D. Frew, Tonya J. Butler, Ruth C. Murray, Sarah R. Moya, Leire Coyne, Clarice J. Timmerman-Vaughan, Gail M. Association mapping of starch chain length distribution and amylose content in pea (Pisum sativum L.) using carbohydrate metabolism candidate genes |
title | Association mapping of starch chain length distribution and amylose content in pea (Pisum sativum L.) using carbohydrate metabolism candidate genes |
title_full | Association mapping of starch chain length distribution and amylose content in pea (Pisum sativum L.) using carbohydrate metabolism candidate genes |
title_fullStr | Association mapping of starch chain length distribution and amylose content in pea (Pisum sativum L.) using carbohydrate metabolism candidate genes |
title_full_unstemmed | Association mapping of starch chain length distribution and amylose content in pea (Pisum sativum L.) using carbohydrate metabolism candidate genes |
title_short | Association mapping of starch chain length distribution and amylose content in pea (Pisum sativum L.) using carbohydrate metabolism candidate genes |
title_sort | association mapping of starch chain length distribution and amylose content in pea (pisum sativum l.) using carbohydrate metabolism candidate genes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5540500/ https://www.ncbi.nlm.nih.gov/pubmed/28764648 http://dx.doi.org/10.1186/s12870-017-1080-9 |
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