Genome sequencing of rice subspecies and genetic analysis of recombinant lines reveals regional rapid visco analyser (RVA) associated loci
Eating and cooking quality (ECQ) have become ever more crucial breeding target in recent decades due to the high level of economic growth. The rapid visco analyser (RVA) profile is an important factor for evaluation of the ECQ. In this study, a series of recombinant lines derived from a cross betwee...
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Published in | Plant growth regulation Vol. 95; no. 2; pp. 259 - 269 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Springer Netherlands
01.11.2021
Springer Nature B.V |
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Abstract | Eating and cooking quality (ECQ) have become ever more crucial breeding target in recent decades due to the high level of economic growth. The rapid visco analyser (RVA) profile is an important factor for evaluation of the ECQ. In this study, a series of recombinant lines derived from a cross between
indica
and
japonica
were planted into four areas with distinguish ecological condition in 2015 and 2016. The relationships among environment, genetic background and RVA profile were investigated through the phenotypic survey and high-throughput sequence ng. The results showed that the RVA profile was strongly affected by environmental factors, which dynamically changed from heading to mature stage. The high relative humidity had a quality penalty via effecting the RVA profile. The percentage of
indica
pedigree introgression was not significantly correlated to RVA profile. A totally 102 QTLs of RVA profile were detected in four areas and 2 years, 10 loci of them could be detected at least in two conditions. Moreover, we elucidated that the truncated
dep1
allele might affect ECQ through reducing the peak viscosity. The present study evaluated the effects of environmental factors and genetic background to RVA profile, provide insights into the ECQ, which could be improved through sub-species crosses for different ecological conditions. |
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AbstractList | Eating and cooking quality (ECQ) have become ever more crucial breeding target in recent decades due to the high level of economic growth. The rapid visco analyser (RVA) profile is an important factor for evaluation of the ECQ. In this study, a series of recombinant lines derived from a cross between
indica
and
japonica
were planted into four areas with distinguish ecological condition in 2015 and 2016. The relationships among environment, genetic background and RVA profile were investigated through the phenotypic survey and high-throughput sequence ng. The results showed that the RVA profile was strongly affected by environmental factors, which dynamically changed from heading to mature stage. The high relative humidity had a quality penalty via effecting the RVA profile. The percentage of
indica
pedigree introgression was not significantly correlated to RVA profile. A totally 102 QTLs of RVA profile were detected in four areas and 2 years, 10 loci of them could be detected at least in two conditions. Moreover, we elucidated that the truncated
dep1
allele might affect ECQ through reducing the peak viscosity. The present study evaluated the effects of environmental factors and genetic background to RVA profile, provide insights into the ECQ, which could be improved through sub-species crosses for different ecological conditions. Eating and cooking quality (ECQ) have become ever more crucial breeding target in recent decades due to the high level of economic growth. The rapid visco analyser (RVA) profile is an important factor for evaluation of the ECQ. In this study, a series of recombinant lines derived from a cross between indica and japonica were planted into four areas with distinguish ecological condition in 2015 and 2016. The relationships among environment, genetic background and RVA profile were investigated through the phenotypic survey and high-throughput sequence ng. The results showed that the RVA profile was strongly affected by environmental factors, which dynamically changed from heading to mature stage. The high relative humidity had a quality penalty via effecting the RVA profile. The percentage of indica pedigree introgression was not significantly correlated to RVA profile. A totally 102 QTLs of RVA profile were detected in four areas and 2 years, 10 loci of them could be detected at least in two conditions. Moreover, we elucidated that the truncated dep1 allele might affect ECQ through reducing the peak viscosity. The present study evaluated the effects of environmental factors and genetic background to RVA profile, provide insights into the ECQ, which could be improved through sub-species crosses for different ecological conditions. |
Author | Ma, Yue Wang, Xiaoche Wu, Lian Xu, Hai Wang, Xiaodong Lu, Jiahao Xu, Na Yu, Zhiwen Xu, Zhengjin Xu, Quan Jiang, Kai |
Author_xml | – sequence: 1 givenname: Hai surname: Xu fullname: Xu, Hai organization: Rice Research Institute of Shenyang Agricultural University – sequence: 2 givenname: Na surname: Xu fullname: Xu, Na organization: Rice Research Institute of Shenyang Agricultural University – sequence: 3 givenname: Lian surname: Wu fullname: Wu, Lian organization: Rice Research Institute of Shenyang Agricultural University – sequence: 4 givenname: Zhiwen surname: Yu fullname: Yu, Zhiwen organization: Rice Research Institute of Shenyang Agricultural University – sequence: 5 givenname: Xiaodong surname: Wang fullname: Wang, Xiaodong organization: Rice Research Institute of Shenyang Agricultural University – sequence: 6 givenname: Jiahao surname: Lu fullname: Lu, Jiahao organization: Rice Research Institute of Shenyang Agricultural University – sequence: 7 givenname: Kai surname: Jiang fullname: Jiang, Kai organization: Rice Research Institute of Shenyang Agricultural University – sequence: 8 givenname: Xiaoche surname: Wang fullname: Wang, Xiaoche organization: Rice Research Institute of Shenyang Agricultural University – sequence: 9 givenname: Yue surname: Ma fullname: Ma, Yue organization: Rice Research Institute of Shenyang Agricultural University – sequence: 10 givenname: Zhengjin surname: Xu fullname: Xu, Zhengjin organization: Rice Research Institute of Shenyang Agricultural University – sequence: 11 givenname: Quan orcidid: 0000-0003-2698-5314 surname: Xu fullname: Xu, Quan email: kobexu34@syau.edu.cn organization: Rice Research Institute of Shenyang Agricultural University |
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Keywords | Environmental factor Genetic background RVA profile Rice |
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SubjectTerms | Agriculture Biomedical and Life Sciences Cooking CRISPR Ecological conditions Economic analysis Economic development Environmental factors Gene sequencing Genes Genetic analysis Genomes Humidity Life Sciences Original Paper Plant Anatomy/Development Plant Physiology Plant Sciences Quantitative trait loci Relative humidity Viscosity |
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Title | Genome sequencing of rice subspecies and genetic analysis of recombinant lines reveals regional rapid visco analyser (RVA) associated loci |
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