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EcoTILLING by sequencing reveals polymorphisms in genes encoding starch synthases that are associated with low glycemic response in rice
BACKGROUND: Glycemic response, a trait that is tedious to be assayed in cereal staples, has been identified as a factor correlated with alarmingly increasing prevalence of Type II diabetes. Reverse genetics based discovery of allelic variants associated with this nutritional trait gains significance...
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/PMC5423428/ https://www.ncbi.nlm.nih.gov/pubmed/28088172 http://dx.doi.org/10.1186/s12870-016-0968-0 |
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author | Raja, Ramadoss Bharathi Agasimani, Somanath Jaiswal, Sarita Thiruvengadam, Venkatesan Sabariappan, Robin Chibbar, Ravindra N. Ram, Sundaram Ganesh |
author_facet | Raja, Ramadoss Bharathi Agasimani, Somanath Jaiswal, Sarita Thiruvengadam, Venkatesan Sabariappan, Robin Chibbar, Ravindra N. Ram, Sundaram Ganesh |
author_sort | Raja, Ramadoss Bharathi |
collection | PubMed |
description | BACKGROUND: Glycemic response, a trait that is tedious to be assayed in cereal staples, has been identified as a factor correlated with alarmingly increasing prevalence of Type II diabetes. Reverse genetics based discovery of allelic variants associated with this nutritional trait gains significance as they can provide scope for genetic improvement of this factor which is otherwise difficult to target through routine screening methods. RESULTS: Through EcoTILLING by sequencing in 512 rice accessions, we report the discovery of six deleterious variants in the genes with potential to increase Resistant Starch (RS) and reduce Hydrolysis Index (HI) of starch. By deconvolution of the variant harbouring EcoTILLING DNA pools, we discovered accessions with a minimum of one to a maximum of three deleterious allelic variants in the candidate genes. CONCLUSIONS: Through biochemical assays, we confirmed the potential role of the discovered alleles alone or in combinations in increasing RS the key factor for reduction in glycemic response. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-016-0968-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5423428 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54234282017-05-10 EcoTILLING by sequencing reveals polymorphisms in genes encoding starch synthases that are associated with low glycemic response in rice Raja, Ramadoss Bharathi Agasimani, Somanath Jaiswal, Sarita Thiruvengadam, Venkatesan Sabariappan, Robin Chibbar, Ravindra N. Ram, Sundaram Ganesh BMC Plant Biol Research Article BACKGROUND: Glycemic response, a trait that is tedious to be assayed in cereal staples, has been identified as a factor correlated with alarmingly increasing prevalence of Type II diabetes. Reverse genetics based discovery of allelic variants associated with this nutritional trait gains significance as they can provide scope for genetic improvement of this factor which is otherwise difficult to target through routine screening methods. RESULTS: Through EcoTILLING by sequencing in 512 rice accessions, we report the discovery of six deleterious variants in the genes with potential to increase Resistant Starch (RS) and reduce Hydrolysis Index (HI) of starch. By deconvolution of the variant harbouring EcoTILLING DNA pools, we discovered accessions with a minimum of one to a maximum of three deleterious allelic variants in the candidate genes. CONCLUSIONS: Through biochemical assays, we confirmed the potential role of the discovered alleles alone or in combinations in increasing RS the key factor for reduction in glycemic response. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-016-0968-0) contains supplementary material, which is available to authorized users. BioMed Central 2017-01-14 /pmc/articles/PMC5423428/ /pubmed/28088172 http://dx.doi.org/10.1186/s12870-016-0968-0 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 Raja, Ramadoss Bharathi Agasimani, Somanath Jaiswal, Sarita Thiruvengadam, Venkatesan Sabariappan, Robin Chibbar, Ravindra N. Ram, Sundaram Ganesh EcoTILLING by sequencing reveals polymorphisms in genes encoding starch synthases that are associated with low glycemic response in rice |
title | EcoTILLING by sequencing reveals polymorphisms in genes encoding starch synthases that are associated with low glycemic response in rice |
title_full | EcoTILLING by sequencing reveals polymorphisms in genes encoding starch synthases that are associated with low glycemic response in rice |
title_fullStr | EcoTILLING by sequencing reveals polymorphisms in genes encoding starch synthases that are associated with low glycemic response in rice |
title_full_unstemmed | EcoTILLING by sequencing reveals polymorphisms in genes encoding starch synthases that are associated with low glycemic response in rice |
title_short | EcoTILLING by sequencing reveals polymorphisms in genes encoding starch synthases that are associated with low glycemic response in rice |
title_sort | ecotilling by sequencing reveals polymorphisms in genes encoding starch synthases that are associated with low glycemic response in rice |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5423428/ https://www.ncbi.nlm.nih.gov/pubmed/28088172 http://dx.doi.org/10.1186/s12870-016-0968-0 |
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