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MaizeCUBIC: a comprehensive variation database for a maize synthetic population

MaizeCUBIC is a free database that describes genomic variations, gene expression, phenotypes and quantitative trait locus (QTLs) for a maize CUBIC population (24 founders and 1404 inbred offspring). The database not only includes information for over 14M single nucleotide polymorphism (SNPs) and 43K...

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Autores principales: Luo, Jingyun, Wei, Chengcheng, Liu, Haijun, Cheng, Shikun, Xiao, Yingjie, Wang, Xiaqing, Yan, Jianbing, Liu, Jianxiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297647/
https://www.ncbi.nlm.nih.gov/pubmed/32548639
http://dx.doi.org/10.1093/database/baaa044
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author Luo, Jingyun
Wei, Chengcheng
Liu, Haijun
Cheng, Shikun
Xiao, Yingjie
Wang, Xiaqing
Yan, Jianbing
Liu, Jianxiao
author_facet Luo, Jingyun
Wei, Chengcheng
Liu, Haijun
Cheng, Shikun
Xiao, Yingjie
Wang, Xiaqing
Yan, Jianbing
Liu, Jianxiao
author_sort Luo, Jingyun
collection PubMed
description MaizeCUBIC is a free database that describes genomic variations, gene expression, phenotypes and quantitative trait locus (QTLs) for a maize CUBIC population (24 founders and 1404 inbred offspring). The database not only includes information for over 14M single nucleotide polymorphism (SNPs) and 43K indels previously identified but also contains 660K structure variations (SVs) and 600M novel sequences newly identified in the present study, which represents a comprehensive high-density variant map for a diverse population. Based on these genomic variations, the database would demonstrate the mosaic structure for each progeny, reflecting a high-resolution reshuffle across parental genomes. A total of 23 agronomic traits measured on parents and progeny in five locations, where are representative of the maize main growing regions in China, were also included in the database. To further explore the genotype–phenotype relationships, two different methods of genome-wide association studies (GWAS) were employed for dissecting the genetic architecture of 23 agronomic traits. Additionally, the Basic Local Alignment Search Tool and primer design tools are developed to promote follow-up analysis and experimental verification. All the original data and corresponding analytical results can be accessed through user-friendly online queries and web interface dynamic visualization, as well as downloadable files. These data and tools provide valuable resources on genetic and genomic studies of maize and other crops.
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spelling pubmed-72976472020-06-22 MaizeCUBIC: a comprehensive variation database for a maize synthetic population Luo, Jingyun Wei, Chengcheng Liu, Haijun Cheng, Shikun Xiao, Yingjie Wang, Xiaqing Yan, Jianbing Liu, Jianxiao Database (Oxford) Database Tool MaizeCUBIC is a free database that describes genomic variations, gene expression, phenotypes and quantitative trait locus (QTLs) for a maize CUBIC population (24 founders and 1404 inbred offspring). The database not only includes information for over 14M single nucleotide polymorphism (SNPs) and 43K indels previously identified but also contains 660K structure variations (SVs) and 600M novel sequences newly identified in the present study, which represents a comprehensive high-density variant map for a diverse population. Based on these genomic variations, the database would demonstrate the mosaic structure for each progeny, reflecting a high-resolution reshuffle across parental genomes. A total of 23 agronomic traits measured on parents and progeny in five locations, where are representative of the maize main growing regions in China, were also included in the database. To further explore the genotype–phenotype relationships, two different methods of genome-wide association studies (GWAS) were employed for dissecting the genetic architecture of 23 agronomic traits. Additionally, the Basic Local Alignment Search Tool and primer design tools are developed to promote follow-up analysis and experimental verification. All the original data and corresponding analytical results can be accessed through user-friendly online queries and web interface dynamic visualization, as well as downloadable files. These data and tools provide valuable resources on genetic and genomic studies of maize and other crops. Oxford University Press 2020-06-16 /pmc/articles/PMC7297647/ /pubmed/32548639 http://dx.doi.org/10.1093/database/baaa044 Text en © The Author(s) 2020. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Tool
Luo, Jingyun
Wei, Chengcheng
Liu, Haijun
Cheng, Shikun
Xiao, Yingjie
Wang, Xiaqing
Yan, Jianbing
Liu, Jianxiao
MaizeCUBIC: a comprehensive variation database for a maize synthetic population
title MaizeCUBIC: a comprehensive variation database for a maize synthetic population
title_full MaizeCUBIC: a comprehensive variation database for a maize synthetic population
title_fullStr MaizeCUBIC: a comprehensive variation database for a maize synthetic population
title_full_unstemmed MaizeCUBIC: a comprehensive variation database for a maize synthetic population
title_short MaizeCUBIC: a comprehensive variation database for a maize synthetic population
title_sort maizecubic: a comprehensive variation database for a maize synthetic population
topic Database Tool
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297647/
https://www.ncbi.nlm.nih.gov/pubmed/32548639
http://dx.doi.org/10.1093/database/baaa044
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