Cargando…

Phenotype to genotype using forward-genetic Mu-seq for identification and functional classification of maize mutants

In pursuing our long-term goals of identifying causal genes for mutant phenotypes in maize, we have developed a new, phenotype-to-genotype approach for transposon-based resources, and used this to identify candidate genes that co-segregate with visible kernel mutants. The strategy incorporates a red...

Descripción completa

Detalles Bibliográficos
Autores principales: Hunter, Charles T., Suzuki, Masaharu, Saunders, Jonathan, Wu, Shan, Tasi, Alexander, McCarty, Donald R., Koch, Karen E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3882665/
https://www.ncbi.nlm.nih.gov/pubmed/24432026
http://dx.doi.org/10.3389/fpls.2013.00545
_version_ 1782298378012459008
author Hunter, Charles T.
Suzuki, Masaharu
Saunders, Jonathan
Wu, Shan
Tasi, Alexander
McCarty, Donald R.
Koch, Karen E.
author_facet Hunter, Charles T.
Suzuki, Masaharu
Saunders, Jonathan
Wu, Shan
Tasi, Alexander
McCarty, Donald R.
Koch, Karen E.
author_sort Hunter, Charles T.
collection PubMed
description In pursuing our long-term goals of identifying causal genes for mutant phenotypes in maize, we have developed a new, phenotype-to-genotype approach for transposon-based resources, and used this to identify candidate genes that co-segregate with visible kernel mutants. The strategy incorporates a redesigned Mu-seq protocol (sequence-based, transposon mapping) for high-throughput identification of individual plants carrying Mu insertions. Forward-genetic Mu-seq also involves a genetic pipeline for generating families that segregate for mutants of interest, and grid designs for concurrent analysis of genotypes in multiple families. Critically, this approach not only eliminates gene-specific PCR genotyping, but also profiles all Mu-insertions in hundreds of individuals simultaneously. Here, we employ this scalable approach to study 12 families that showed Mendelian segregation of visible seed mutants. These families were analyzed in parallel, and 7 showed clear co-segregation between the selected phenotype and a Mu insertion in a specific gene. Results were confirmed by PCR. Mutant genes that associated with kernel phenotypes include those encoding: a new allele of Whirly1 (a transcription factor with high affinity for organellar and single-stranded DNA), a predicted splicing factor with a KH domain, a small protein with unknown function, a putative mitochondrial transcription-termination factor, and three proteins with pentatricopeptide repeat domains (predicted mitochondrial). Identification of such associations allows mutants to be prioritized for subsequent research based on their functional annotations. Forward-genetic Mu-seq also allows a systematic dissection of mutant classes with similar phenotypes. In the present work, a high proportion of kernel phenotypes were associated with mutations affecting organellar gene transcription and processing, highlighting the importance and non-redundance of genes controlling these aspects of seed development.
format Online
Article
Text
id pubmed-3882665
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-38826652014-01-15 Phenotype to genotype using forward-genetic Mu-seq for identification and functional classification of maize mutants Hunter, Charles T. Suzuki, Masaharu Saunders, Jonathan Wu, Shan Tasi, Alexander McCarty, Donald R. Koch, Karen E. Front Plant Sci Plant Science In pursuing our long-term goals of identifying causal genes for mutant phenotypes in maize, we have developed a new, phenotype-to-genotype approach for transposon-based resources, and used this to identify candidate genes that co-segregate with visible kernel mutants. The strategy incorporates a redesigned Mu-seq protocol (sequence-based, transposon mapping) for high-throughput identification of individual plants carrying Mu insertions. Forward-genetic Mu-seq also involves a genetic pipeline for generating families that segregate for mutants of interest, and grid designs for concurrent analysis of genotypes in multiple families. Critically, this approach not only eliminates gene-specific PCR genotyping, but also profiles all Mu-insertions in hundreds of individuals simultaneously. Here, we employ this scalable approach to study 12 families that showed Mendelian segregation of visible seed mutants. These families were analyzed in parallel, and 7 showed clear co-segregation between the selected phenotype and a Mu insertion in a specific gene. Results were confirmed by PCR. Mutant genes that associated with kernel phenotypes include those encoding: a new allele of Whirly1 (a transcription factor with high affinity for organellar and single-stranded DNA), a predicted splicing factor with a KH domain, a small protein with unknown function, a putative mitochondrial transcription-termination factor, and three proteins with pentatricopeptide repeat domains (predicted mitochondrial). Identification of such associations allows mutants to be prioritized for subsequent research based on their functional annotations. Forward-genetic Mu-seq also allows a systematic dissection of mutant classes with similar phenotypes. In the present work, a high proportion of kernel phenotypes were associated with mutations affecting organellar gene transcription and processing, highlighting the importance and non-redundance of genes controlling these aspects of seed development. Frontiers Media S.A. 2014-01-07 /pmc/articles/PMC3882665/ /pubmed/24432026 http://dx.doi.org/10.3389/fpls.2013.00545 Text en Copyright © 2014 Hunter, Suzuki, Saunders, Wu, Tasi, McCarty and Koch. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Hunter, Charles T.
Suzuki, Masaharu
Saunders, Jonathan
Wu, Shan
Tasi, Alexander
McCarty, Donald R.
Koch, Karen E.
Phenotype to genotype using forward-genetic Mu-seq for identification and functional classification of maize mutants
title Phenotype to genotype using forward-genetic Mu-seq for identification and functional classification of maize mutants
title_full Phenotype to genotype using forward-genetic Mu-seq for identification and functional classification of maize mutants
title_fullStr Phenotype to genotype using forward-genetic Mu-seq for identification and functional classification of maize mutants
title_full_unstemmed Phenotype to genotype using forward-genetic Mu-seq for identification and functional classification of maize mutants
title_short Phenotype to genotype using forward-genetic Mu-seq for identification and functional classification of maize mutants
title_sort phenotype to genotype using forward-genetic mu-seq for identification and functional classification of maize mutants
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3882665/
https://www.ncbi.nlm.nih.gov/pubmed/24432026
http://dx.doi.org/10.3389/fpls.2013.00545
work_keys_str_mv AT huntercharlest phenotypetogenotypeusingforwardgeneticmuseqforidentificationandfunctionalclassificationofmaizemutants
AT suzukimasaharu phenotypetogenotypeusingforwardgeneticmuseqforidentificationandfunctionalclassificationofmaizemutants
AT saundersjonathan phenotypetogenotypeusingforwardgeneticmuseqforidentificationandfunctionalclassificationofmaizemutants
AT wushan phenotypetogenotypeusingforwardgeneticmuseqforidentificationandfunctionalclassificationofmaizemutants
AT tasialexander phenotypetogenotypeusingforwardgeneticmuseqforidentificationandfunctionalclassificationofmaizemutants
AT mccartydonaldr phenotypetogenotypeusingforwardgeneticmuseqforidentificationandfunctionalclassificationofmaizemutants
AT kochkarene phenotypetogenotypeusingforwardgeneticmuseqforidentificationandfunctionalclassificationofmaizemutants