Literature DB >> 28576844

The Sequences of 1504 Mutants in the Model Rice Variety Kitaake Facilitate Rapid Functional Genomic Studies.

Guotian Li1,2,3, Rashmi Jain1,2,3, Mawsheng Chern4,2,3, Nikki T Pham1,2, Joel A Martin5, Tong Wei1,2,3, Wendy S Schackwitz5, Anna M Lipzen5, Phat Q Duong1, Kyle C Jones1,2, Liangrong Jiang1,6, Deling Ruan1,2,3, Diane Bauer5, Yi Peng5, Kerrie W Barry5, Jeremy Schmutz5,7, Pamela C Ronald4,2,3.   

Abstract

The availability of a whole-genome sequenced mutant population and the cataloging of mutations of each line at a single-nucleotide resolution facilitate functional genomic analysis. To this end, we generated and sequenced a fast-neutron-induced mutant population in the model rice cultivar Kitaake (Oryza sativa ssp japonica), which completes its life cycle in 9 weeks. We sequenced 1504 mutant lines at 45-fold coverage and identified 91,513 mutations affecting 32,307 genes, i.e., 58% of all rice genes. We detected an average of 61 mutations per line. Mutation types include single-base substitutions, deletions, insertions, inversions, translocations, and tandem duplications. We observed a high proportion of loss-of-function mutations. We identified an inversion affecting a single gene as the causative mutation for the short-grain phenotype in one mutant line. This result reveals the usefulness of the resource for efficient, cost-effective identification of genes conferring specific phenotypes. To facilitate public access to this genetic resource, we established an open access database called KitBase that provides access to sequence data and seed stocks. This population complements other available mutant collections and gene-editing technologies. This work demonstrates how inexpensive next-generation sequencing can be applied to generate a high-density catalog of mutations.
© 2017 American Society of Plant Biologists. All rights reserved.

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Year:  2017        PMID: 28576844      PMCID: PMC5502455          DOI: 10.1105/tpc.17.00154

Source DB:  PubMed          Journal:  Plant Cell        ISSN: 1040-4651            Impact factor:   11.277


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