ArticleFrontiers in plant science2014
Phenotype to genotype using forward-genetic Mu-seq for identification and functional classification of maize mutants.
Article in Frontiers in plant science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Expanding the BonnMu sequence-indexed repository of transposon induced maize (Zea mays L.) mutations in dent and flint germplasm.The Plant journal : for cell and molecular biology · 2024Article
- Independent evolution of transposase and TIRs facilitated by recombination betweenProceedings of the National Academy of Sciences of the United States of America · 2023Article
- Dysfunction of an Anaphase-Promoting Complex Subunit 8 Homolog Leads to Super-Short Petioles and Enlarged Petiole Angles in Soybean.International journal of molecular sciences · 2023Article
- Modification of the Expression of the Aquaporin ZmPIP2;5 Affects Water Relations and Plant Growth.Plant physiology · 2020Article
- Article
- A role for 9-lipoxygenases in maize defense against insect herbivory.Plant signaling & behavior · 2018Article
- Genetic Variability Induced by Gamma Rays and Preliminary Results of Low-Cost TILLING on MFrontiers in plant science · 2018Article
- Essential role of conserved DUF177A protein in plastid 23S rRNA accumulation and plant embryogenesis.Journal of experimental botany · 2016Article
- An Indexed, Mapped Mutant Library Enables Reverse Genetics Studies of Biological Processes in Chlamydomonas reinhardtii.The Plant cell · 2016Article
- Seed filling in domesticated maize and rice depends on SWEET-mediated hexose transport.Nature genetics · 2015Article
- Genetic and genomic toolbox of Zea mays.Genetics · 2015Review
- Article
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7 authors.
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Abstract
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.
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