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Genetical genomics of quality related traits in potato tubers using proteomics

BACKGROUND: Recent advances in ~omics technologies such as transcriptomics, metabolomics and proteomics along with genotypic profiling have permitted the genetic dissection of complex traits such as quality traits in non-model species. To get more insight into the genetic factors underlying variatio...

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Autores principales: Acharjee, Animesh, Chibon, Pierre-Yves, Kloosterman, Bjorn, America, Twan, Renaut, Jenny, Maliepaard, Chris, Visser, Richard G. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5781343/
https://www.ncbi.nlm.nih.gov/pubmed/29361908
http://dx.doi.org/10.1186/s12870-018-1229-1
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author Acharjee, Animesh
Chibon, Pierre-Yves
Kloosterman, Bjorn
America, Twan
Renaut, Jenny
Maliepaard, Chris
Visser, Richard G. F.
author_facet Acharjee, Animesh
Chibon, Pierre-Yves
Kloosterman, Bjorn
America, Twan
Renaut, Jenny
Maliepaard, Chris
Visser, Richard G. F.
author_sort Acharjee, Animesh
collection PubMed
description BACKGROUND: Recent advances in ~omics technologies such as transcriptomics, metabolomics and proteomics along with genotypic profiling have permitted the genetic dissection of complex traits such as quality traits in non-model species. To get more insight into the genetic factors underlying variation in quality traits related to carbohydrate and starch metabolism and cold sweetening, we determined the protein content and composition in potato tubers using 2D–gel electrophoresis in a diploid potato mapping population. Upon analyzing we made sure that the proteins from the patatin family were excluded to ensure a better representation of the other proteins. RESULTS: We subsequently performed pQTL analyses for all other proteins with a sufficient representation in the population and established a relationship between proteins and 26 potato tuber quality traits (e.g. flesh colour, enzymatic discoloration) by co-localization on the genetic map and a direct correlation study of protein abundances and phenotypic traits. Over 1643 unique protein spots were detected in total over the two harvests. We were able to map pQTLs for over 300 different protein spots some of which co-localized with traits such as starch content and cold sweetening. pQTLs were observed on every chromosome although not evenly distributed over the chromosomes. The largest number of pQTLs was found for chromosome 8 and the lowest for chromosome number 10. For some 20 protein spots multiple QTLs were observed. CONCLUSIONS: From this analysis, hotspot areas for protein QTLs were identified on chromosomes three, five, eight and nine. The hotspot on chromosome 3 coincided with a QTL previously identified for total protein content and had more than 23 pQTLs in the region from 70 to 80 cM. Some of the co-localizing protein spots associated with some of the most interesting tuber quality traits were identified, albeit far less than we had anticipated at the onset of the experiments. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12870-018-1229-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-57813432018-02-06 Genetical genomics of quality related traits in potato tubers using proteomics Acharjee, Animesh Chibon, Pierre-Yves Kloosterman, Bjorn America, Twan Renaut, Jenny Maliepaard, Chris Visser, Richard G. F. BMC Plant Biol Research Article BACKGROUND: Recent advances in ~omics technologies such as transcriptomics, metabolomics and proteomics along with genotypic profiling have permitted the genetic dissection of complex traits such as quality traits in non-model species. To get more insight into the genetic factors underlying variation in quality traits related to carbohydrate and starch metabolism and cold sweetening, we determined the protein content and composition in potato tubers using 2D–gel electrophoresis in a diploid potato mapping population. Upon analyzing we made sure that the proteins from the patatin family were excluded to ensure a better representation of the other proteins. RESULTS: We subsequently performed pQTL analyses for all other proteins with a sufficient representation in the population and established a relationship between proteins and 26 potato tuber quality traits (e.g. flesh colour, enzymatic discoloration) by co-localization on the genetic map and a direct correlation study of protein abundances and phenotypic traits. Over 1643 unique protein spots were detected in total over the two harvests. We were able to map pQTLs for over 300 different protein spots some of which co-localized with traits such as starch content and cold sweetening. pQTLs were observed on every chromosome although not evenly distributed over the chromosomes. The largest number of pQTLs was found for chromosome 8 and the lowest for chromosome number 10. For some 20 protein spots multiple QTLs were observed. CONCLUSIONS: From this analysis, hotspot areas for protein QTLs were identified on chromosomes three, five, eight and nine. The hotspot on chromosome 3 coincided with a QTL previously identified for total protein content and had more than 23 pQTLs in the region from 70 to 80 cM. Some of the co-localizing protein spots associated with some of the most interesting tuber quality traits were identified, albeit far less than we had anticipated at the onset of the experiments. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12870-018-1229-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-01-23 /pmc/articles/PMC5781343/ /pubmed/29361908 http://dx.doi.org/10.1186/s12870-018-1229-1 Text en © The Author(s). 2018 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
Acharjee, Animesh
Chibon, Pierre-Yves
Kloosterman, Bjorn
America, Twan
Renaut, Jenny
Maliepaard, Chris
Visser, Richard G. F.
Genetical genomics of quality related traits in potato tubers using proteomics
title Genetical genomics of quality related traits in potato tubers using proteomics
title_full Genetical genomics of quality related traits in potato tubers using proteomics
title_fullStr Genetical genomics of quality related traits in potato tubers using proteomics
title_full_unstemmed Genetical genomics of quality related traits in potato tubers using proteomics
title_short Genetical genomics of quality related traits in potato tubers using proteomics
title_sort genetical genomics of quality related traits in potato tubers using proteomics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5781343/
https://www.ncbi.nlm.nih.gov/pubmed/29361908
http://dx.doi.org/10.1186/s12870-018-1229-1
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