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Comparative analysis of metabolome of rice seeds at three developmental stages using a recombinant inbred line population

Plants are considered an important food and nutrition source for humans. Despite advances in plant seed metabolomics, knowledge about the genetic and molecular bases of rice seed metabolomes at different developmental stages is still limited. Here, using Zhenshan 97 (ZS97) and Minghui 63 (MH63), we...

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Autores principales: Li, Kang, Wang, Dehong, Gong, Liang, Lyu, Yuanyuan, Guo, Hao, Chen, Wei, Jin, Cheng, Liu, Xianqing, Fang, Chuanying, Luo, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6899760/
https://www.ncbi.nlm.nih.gov/pubmed/31355982
http://dx.doi.org/10.1111/tpj.14482
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author Li, Kang
Wang, Dehong
Gong, Liang
Lyu, Yuanyuan
Guo, Hao
Chen, Wei
Jin, Cheng
Liu, Xianqing
Fang, Chuanying
Luo, Jie
author_facet Li, Kang
Wang, Dehong
Gong, Liang
Lyu, Yuanyuan
Guo, Hao
Chen, Wei
Jin, Cheng
Liu, Xianqing
Fang, Chuanying
Luo, Jie
author_sort Li, Kang
collection PubMed
description Plants are considered an important food and nutrition source for humans. Despite advances in plant seed metabolomics, knowledge about the genetic and molecular bases of rice seed metabolomes at different developmental stages is still limited. Here, using Zhenshan 97 (ZS97) and Minghui 63 (MH63), we performed a widely targeted metabolic profiling in seeds during grain filling, mature seeds and germinating seeds. The diversity between MH63 and ZS97 was characterized in terms of the content of metabolites and the metabolic shifting across developmental stages. Taking advantage of the ultra‐high‐density genetic map of a population of 210 recombinant inbred lines (RILs) derived from a cross between ZS97 and MH63, we identified 4681 putative metabolic quantitative trait loci (mQTLs) in seeds across the three stages. Further analysis of the mQTLs for the codetected metabolites across the three stages revealed that the genetic regulation of metabolite accumulation was closely related to developmental stage. Using in silico analyses, we characterized 35 candidate genes responsible for 30 structurally identified or annotated compounds, among which LOC_Os07g04970 and LOC_Os06g03990 were identified to be responsible for feruloylserotonin and l‐asparagine content variation across populations, respectively. Metabolite−agronomic trait association and colocation between mQTLs and phenotypic quantitative trait loci (pQTLs) revealed the complexity of the metabolite−agronomic trait relationship and the corresponding genetic basis.
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spelling pubmed-68997602019-12-19 Comparative analysis of metabolome of rice seeds at three developmental stages using a recombinant inbred line population Li, Kang Wang, Dehong Gong, Liang Lyu, Yuanyuan Guo, Hao Chen, Wei Jin, Cheng Liu, Xianqing Fang, Chuanying Luo, Jie Plant J Original Articles Plants are considered an important food and nutrition source for humans. Despite advances in plant seed metabolomics, knowledge about the genetic and molecular bases of rice seed metabolomes at different developmental stages is still limited. Here, using Zhenshan 97 (ZS97) and Minghui 63 (MH63), we performed a widely targeted metabolic profiling in seeds during grain filling, mature seeds and germinating seeds. The diversity between MH63 and ZS97 was characterized in terms of the content of metabolites and the metabolic shifting across developmental stages. Taking advantage of the ultra‐high‐density genetic map of a population of 210 recombinant inbred lines (RILs) derived from a cross between ZS97 and MH63, we identified 4681 putative metabolic quantitative trait loci (mQTLs) in seeds across the three stages. Further analysis of the mQTLs for the codetected metabolites across the three stages revealed that the genetic regulation of metabolite accumulation was closely related to developmental stage. Using in silico analyses, we characterized 35 candidate genes responsible for 30 structurally identified or annotated compounds, among which LOC_Os07g04970 and LOC_Os06g03990 were identified to be responsible for feruloylserotonin and l‐asparagine content variation across populations, respectively. Metabolite−agronomic trait association and colocation between mQTLs and phenotypic quantitative trait loci (pQTLs) revealed the complexity of the metabolite−agronomic trait relationship and the corresponding genetic basis. John Wiley and Sons Inc. 2019-09-04 2019-12 /pmc/articles/PMC6899760/ /pubmed/31355982 http://dx.doi.org/10.1111/tpj.14482 Text en © 2019 The Authors. The Plant Journal published by Society for Experimental Biology and John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Li, Kang
Wang, Dehong
Gong, Liang
Lyu, Yuanyuan
Guo, Hao
Chen, Wei
Jin, Cheng
Liu, Xianqing
Fang, Chuanying
Luo, Jie
Comparative analysis of metabolome of rice seeds at three developmental stages using a recombinant inbred line population
title Comparative analysis of metabolome of rice seeds at three developmental stages using a recombinant inbred line population
title_full Comparative analysis of metabolome of rice seeds at three developmental stages using a recombinant inbred line population
title_fullStr Comparative analysis of metabolome of rice seeds at three developmental stages using a recombinant inbred line population
title_full_unstemmed Comparative analysis of metabolome of rice seeds at three developmental stages using a recombinant inbred line population
title_short Comparative analysis of metabolome of rice seeds at three developmental stages using a recombinant inbred line population
title_sort comparative analysis of metabolome of rice seeds at three developmental stages using a recombinant inbred line population
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6899760/
https://www.ncbi.nlm.nih.gov/pubmed/31355982
http://dx.doi.org/10.1111/tpj.14482
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