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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.
Afiliação
  • Acharjee A; Graduate School Experimental Plant Sciences, Wageningen, The Netherlands.
  • Chibon PY; Plant Breeding, Wageningen University and Research, PO Box 386, 6700 AJ, Wageningen, The Netherlands.
  • Kloosterman B; Institute of Cancer and Genomic Sciences, Centre for Computational Biology, University of Birmingham, Birmingham, B15 2TT, UK.
  • America T; Institute of Translational Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, B15 2TT, UK.
  • Renaut J; Graduate School Experimental Plant Sciences, Wageningen, The Netherlands.
  • Maliepaard C; Plant Breeding, Wageningen University and Research, PO Box 386, 6700 AJ, Wageningen, The Netherlands.
  • Visser RGF; Plant Breeding, Wageningen University and Research, PO Box 386, 6700 AJ, Wageningen, The Netherlands.
BMC Plant Biol ; 18(1): 20, 2018 01 23.
Article em En | MEDLINE | ID: mdl-29361908
ABSTRACT

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Amido / Solanum tuberosum / Tubérculos / Metabolismo dos Carboidratos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Amido / Solanum tuberosum / Tubérculos / Metabolismo dos Carboidratos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article