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High-Throughput Sequencing and Mutagenesis to Accelerate the Domestication of Microlaena stipoides as a New Food Crop

Overview of attention for article published in PLOS ONE, December 2013
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Title
High-Throughput Sequencing and Mutagenesis to Accelerate the Domestication of Microlaena stipoides as a New Food Crop
Published in
PLOS ONE, December 2013
DOI 10.1371/journal.pone.0082641
Pubmed ID
Authors

Frances M. Shapter, Michael Cross, Gary Ablett, Sylvia Malory, Ian H. Chivers, Graham J. King, Robert J. Henry

Abstract

Global food demand, climatic variability and reduced land availability are driving the need for domestication of new crop species. The accelerated domestication of a rice-like Australian dryland polyploid grass, Microlaena stipoides (Poaceae), was targeted using chemical mutagenesis in conjunction with high throughput sequencing of genes for key domestication traits. While M. stipoides has previously been identified as having potential as a new grain crop for human consumption, only a limited understanding of its genetic diversity and breeding system was available to aid the domestication process. Next generation sequencing of deeply-pooled target amplicons estimated allelic diversity of a selected base population at 14.3 SNP/Mb and identified novel, putatively mutation-induced polymorphisms at about 2.4 mutations/Mb. A 97% lethal dose (LD₉₇) of ethyl methanesulfonate treatment was applied without inducing sterility in this polyploid species. Forward and reverse genetic screens identified beneficial alleles for the domestication trait, seed-shattering. Unique phenotypes observed in the M2 population suggest the potential for rapid accumulation of beneficial traits without recourse to a traditional cross-breeding strategy. This approach may be applicable to other wild species, unlocking their potential as new food, fibre and fuel crops.

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Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Researcher 9 21%
Student > Bachelor 4 10%
Student > Master 4 10%
Student > Doctoral Student 2 5%
Other 3 7%
Unknown 10 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 64%
Biochemistry, Genetics and Molecular Biology 1 2%
Environmental Science 1 2%
Physics and Astronomy 1 2%
Medicine and Dentistry 1 2%
Other 0 0%
Unknown 11 26%