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High‐throughput phenotyping accelerates the dissection of the dynamic genetic architecture of plant growth and yield improvement in rapeseed

Rapeseed is the second most important oil crop species and is widely cultivated worldwide. However, overcoming the ‘phenotyping bottleneck’ has remained a significant challenge. A clear goal of high‐throughput phenotyping is to bridge the gap between genomics and phenomics. In addition, it is import...

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Autores principales: Li, Haitao, Feng, Hui, Guo, Chaocheng, Yang, Shanjing, Huang, Wan, Xiong, Xiong, Liu, Jianxiao, Chen, Guoxing, Liu, Qian, Xiong, Lizhong, Liu, Kede, Yang, Wanneng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589443/
https://www.ncbi.nlm.nih.gov/pubmed/32367649
http://dx.doi.org/10.1111/pbi.13396
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author Li, Haitao
Feng, Hui
Guo, Chaocheng
Yang, Shanjing
Huang, Wan
Xiong, Xiong
Liu, Jianxiao
Chen, Guoxing
Liu, Qian
Xiong, Lizhong
Liu, Kede
Yang, Wanneng
author_facet Li, Haitao
Feng, Hui
Guo, Chaocheng
Yang, Shanjing
Huang, Wan
Xiong, Xiong
Liu, Jianxiao
Chen, Guoxing
Liu, Qian
Xiong, Lizhong
Liu, Kede
Yang, Wanneng
author_sort Li, Haitao
collection PubMed
description Rapeseed is the second most important oil crop species and is widely cultivated worldwide. However, overcoming the ‘phenotyping bottleneck’ has remained a significant challenge. A clear goal of high‐throughput phenotyping is to bridge the gap between genomics and phenomics. In addition, it is important to explore the dynamic genetic architecture underlying rapeseed plant growth and its contribution to final yield. In this work, a high‐throughput phenotyping facility was used to dynamically screen a rapeseed intervarietal substitution line population during two growing seasons. We developed an automatic image analysis pipeline to quantify 43 dynamic traits across multiple developmental stages, with 12 time points. The time‐resolved i‐traits could be extracted to reflect shoot growth and predict the final yield of rapeseed. Broad phenotypic variation and high heritability were observed for these i‐traits across all developmental stages. A total of 337 and 599 QTLs were identified, with 33.5% and 36.1% consistent QTLs for each trait across all 12 time points in the two growing seasons, respectively. Moreover, the QTLs responsible for yield indicators colocalized with those of final yield, potentially providing a new mechanism of yield regulation. Our results indicate that high‐throughput phenotyping can provide novel insights into the dynamic genetic architecture of rapeseed growth and final yield, which would be useful for future genetic improvements in rapeseed.
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spelling pubmed-75894432020-10-30 High‐throughput phenotyping accelerates the dissection of the dynamic genetic architecture of plant growth and yield improvement in rapeseed Li, Haitao Feng, Hui Guo, Chaocheng Yang, Shanjing Huang, Wan Xiong, Xiong Liu, Jianxiao Chen, Guoxing Liu, Qian Xiong, Lizhong Liu, Kede Yang, Wanneng Plant Biotechnol J Research Articles Rapeseed is the second most important oil crop species and is widely cultivated worldwide. However, overcoming the ‘phenotyping bottleneck’ has remained a significant challenge. A clear goal of high‐throughput phenotyping is to bridge the gap between genomics and phenomics. In addition, it is important to explore the dynamic genetic architecture underlying rapeseed plant growth and its contribution to final yield. In this work, a high‐throughput phenotyping facility was used to dynamically screen a rapeseed intervarietal substitution line population during two growing seasons. We developed an automatic image analysis pipeline to quantify 43 dynamic traits across multiple developmental stages, with 12 time points. The time‐resolved i‐traits could be extracted to reflect shoot growth and predict the final yield of rapeseed. Broad phenotypic variation and high heritability were observed for these i‐traits across all developmental stages. A total of 337 and 599 QTLs were identified, with 33.5% and 36.1% consistent QTLs for each trait across all 12 time points in the two growing seasons, respectively. Moreover, the QTLs responsible for yield indicators colocalized with those of final yield, potentially providing a new mechanism of yield regulation. Our results indicate that high‐throughput phenotyping can provide novel insights into the dynamic genetic architecture of rapeseed growth and final yield, which would be useful for future genetic improvements in rapeseed. John Wiley and Sons Inc. 2020-05-19 2020-11 /pmc/articles/PMC7589443/ /pubmed/32367649 http://dx.doi.org/10.1111/pbi.13396 Text en © 2020 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Li, Haitao
Feng, Hui
Guo, Chaocheng
Yang, Shanjing
Huang, Wan
Xiong, Xiong
Liu, Jianxiao
Chen, Guoxing
Liu, Qian
Xiong, Lizhong
Liu, Kede
Yang, Wanneng
High‐throughput phenotyping accelerates the dissection of the dynamic genetic architecture of plant growth and yield improvement in rapeseed
title High‐throughput phenotyping accelerates the dissection of the dynamic genetic architecture of plant growth and yield improvement in rapeseed
title_full High‐throughput phenotyping accelerates the dissection of the dynamic genetic architecture of plant growth and yield improvement in rapeseed
title_fullStr High‐throughput phenotyping accelerates the dissection of the dynamic genetic architecture of plant growth and yield improvement in rapeseed
title_full_unstemmed High‐throughput phenotyping accelerates the dissection of the dynamic genetic architecture of plant growth and yield improvement in rapeseed
title_short High‐throughput phenotyping accelerates the dissection of the dynamic genetic architecture of plant growth and yield improvement in rapeseed
title_sort high‐throughput phenotyping accelerates the dissection of the dynamic genetic architecture of plant growth and yield improvement in rapeseed
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589443/
https://www.ncbi.nlm.nih.gov/pubmed/32367649
http://dx.doi.org/10.1111/pbi.13396
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