Using Crop Databases to Explore Phenotypes: From QTL to Candidate Genes

Seeds, especially those of certain grasses and legumes, provide the majority of the protein and carbohydrates for much of the world’s population. Therefore, improvements in seed quality and yield are important drivers for the development of new crop varieties to feed a growing population. Quantitati...

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Autores principales:	Anne V. Brown, David Grant, Rex T. Nelson
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	QTL GWAS candidate gene genomics genetics database Botany QK1-989
Acceso en línea:	https://doaj.org/article/2940d8896feb40719bb5ea9f01029fd6
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spelling	oai:doaj.org-article:2940d8896feb40719bb5ea9f01029fd62021-11-25T18:47:02ZUsing Crop Databases to Explore Phenotypes: From QTL to Candidate Genes10.3390/plants101124942223-7747https://doaj.org/article/2940d8896feb40719bb5ea9f01029fd62021-11-01T00:00:00Zhttps://www.mdpi.com/2223-7747/10/11/2494https://doaj.org/toc/2223-7747Seeds, especially those of certain grasses and legumes, provide the majority of the protein and carbohydrates for much of the world’s population. Therefore, improvements in seed quality and yield are important drivers for the development of new crop varieties to feed a growing population. Quantitative Trait Loci (QTL) have been identified for many biologically interesting and agronomically important traits, including many seed quality traits. QTL can help explain the genetic architecture of the traits and can also be used to incorporate traits into new crop cultivars during breeding. Despite the important contributions that QTL have made to basic studies and plant breeding, knowing the exact gene(s) conditioning each QTL would greatly improve our ability to study the underlying genetics, biochemistry and regulatory networks. The data sets needed for identifying these genes are increasingly available and often housed in species- or clade-specific genetics and genomics databases. In this demonstration, we present a generalized walkthrough of how such databases can be used in these studies using SoyBase, the USDA soybean Genetics and Genomics Database, as an example.Anne V. BrownDavid GrantRex T. NelsonMDPI AGarticleQTLGWAScandidate genegenomicsgeneticsdatabaseBotanyQK1-989ENPlants, Vol 10, Iss 2494, p 2494 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	QTL GWAS candidate gene genomics genetics database Botany QK1-989
spellingShingle	QTL GWAS candidate gene genomics genetics database Botany QK1-989 Anne V. Brown David Grant Rex T. Nelson Using Crop Databases to Explore Phenotypes: From QTL to Candidate Genes
description	Seeds, especially those of certain grasses and legumes, provide the majority of the protein and carbohydrates for much of the world’s population. Therefore, improvements in seed quality and yield are important drivers for the development of new crop varieties to feed a growing population. Quantitative Trait Loci (QTL) have been identified for many biologically interesting and agronomically important traits, including many seed quality traits. QTL can help explain the genetic architecture of the traits and can also be used to incorporate traits into new crop cultivars during breeding. Despite the important contributions that QTL have made to basic studies and plant breeding, knowing the exact gene(s) conditioning each QTL would greatly improve our ability to study the underlying genetics, biochemistry and regulatory networks. The data sets needed for identifying these genes are increasingly available and often housed in species- or clade-specific genetics and genomics databases. In this demonstration, we present a generalized walkthrough of how such databases can be used in these studies using SoyBase, the USDA soybean Genetics and Genomics Database, as an example.
format	article
author	Anne V. Brown David Grant Rex T. Nelson
author_facet	Anne V. Brown David Grant Rex T. Nelson
author_sort	Anne V. Brown
title	Using Crop Databases to Explore Phenotypes: From QTL to Candidate Genes
title_short	Using Crop Databases to Explore Phenotypes: From QTL to Candidate Genes
title_full	Using Crop Databases to Explore Phenotypes: From QTL to Candidate Genes
title_fullStr	Using Crop Databases to Explore Phenotypes: From QTL to Candidate Genes
title_full_unstemmed	Using Crop Databases to Explore Phenotypes: From QTL to Candidate Genes
title_sort	using crop databases to explore phenotypes: from qtl to candidate genes
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2940d8896feb40719bb5ea9f01029fd6
work_keys_str_mv	AT annevbrown usingcropdatabasestoexplorephenotypesfromqtltocandidategenes AT davidgrant usingcropdatabasestoexplorephenotypesfromqtltocandidategenes AT rextnelson usingcropdatabasestoexplorephenotypesfromqtltocandidategenes
_version_	1718410700645203968

Using Crop Databases to Explore Phenotypes: From QTL to Candidate Genes

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