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Combined correlation‐based network and mQTL analyses efficiently identified loci for branched‐chain amino acid, serine to threonine, and proline metabolism in tomato seeds
Author(s) -
Toubiana David,
Batushansky Albert,
Tzfadia Oren,
Scossa Federico,
Khan Asif,
Barak Simon,
Zamir Daniel,
Fernie Alisdair Robert,
Nikoloski Zoran,
Fait Aaron
Publication year - 2015
Publication title -
the plant journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.058
H-Index - 269
eISSN - 1365-313X
pISSN - 0960-7412
DOI - 10.1111/tpj.12717
Subject(s) - biology , amino acid , genetics , quantitative trait locus , serine , gene , metabolite , biochemistry , population , enzyme , demography , sociology
Summary Correlation‐based network analysis (CNA) of the metabolic profiles of seeds of a tomato introgression line mapping population revealed a clique of proteinogenic amino acids: Gly, Ile, Pro, Ser, Thr, and Val. Correlations between profiles of these amino acids exhibited a statistically significant average correlation coefficient of 0.84 as compared with an average correlation coefficient of 0.39 over the 16 119 other metabolite cliques containing six metabolites. In silico removal of cliques was used to quantify their importance in determining seminal network properties, highlighting the strong effects of the amino acid clique. Quantitative trait locus analysis revealed co‐localization for the six amino acids on chromosome 2, 4 and 10. Sequence analysis identified a unique set of 10 genes on chromosome 2 only, which were associated with amino acid metabolism and specifically the metabolism of Ser‐Gly and their conversion into branched‐chain amino acids. Metabolite profiling of a set of sublines, with introgressions on chromosome 2, identified a significant change in the abundance of the six amino acids in comparison with M82. Expression analysis of candidate genes affecting Ser metabolism matched the observation from the metabolite data, suggesting a coordinated behavior of the level of these amino acids at the genetic level. Analysis of transcription factor binding sites in the promoter regions of the identified genes suggested combinatorial response to light and the circadian clock.