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Whole Genome Characterization of a Few EMS-Induced Mutants of Upland Rice Variety Nagina 22 Reveals a Staggeringly High Frequency of SNPs Which Show High Phenotypic Plasticity Towards the Wild-Type

Overview of attention for article published in Frontiers in Plant Science, September 2018
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Title
Whole Genome Characterization of a Few EMS-Induced Mutants of Upland Rice Variety Nagina 22 Reveals a Staggeringly High Frequency of SNPs Which Show High Phenotypic Plasticity Towards the Wild-Type
Published in
Frontiers in Plant Science, September 2018
DOI 10.3389/fpls.2018.01179
Pubmed ID
Authors

Amitha M. V. Sevanthi, Prashant Kandwal, Prashant B. Kale, Chandra Prakash, M. K. Ramkumar, Neera Yadav, Ajay K. Mahato, V. Sureshkumar, Motilal Behera, Rupesh K. Deshmukh, P. Jeyaparakash, Meera K. Kar, S. Manonmani, Raveendran Muthurajan, K. S. Gopala, Sarla Neelamraju, M. S. Sheshshayee, P. Swain, Ashok K. Singh, N. K. Singh, Trilochan Mohapatra, R. P. Sharma

Abstract

The Indian initiative, in creating mutant resources for the functional genomics in rice, has been instrumental in the development of 87,000 ethylmethanesulfonate (EMS)-induced mutants, of which 7,000 are in advanced generations. The mutants have been created in the background of Nagina 22, a popular drought- and heat-tolerant upland cultivar. As it is a pregreen revolution cultivar, as many as 573 dwarf mutants identified from this resource could be useful as an alternate source of dwarfing. A total of 541 mutants, including the macromutants and the trait-specific ones, obtained after appropriate screening, are being maintained in the mutant garden. Here, we report on the detailed characterizations of the 541 mutants based on the distinctness, uniformity, and stability (DUS) descriptors at two different locations. About 90% of the mutants were found to be similar to the wild type (WT) with high similarity index (>0.6) at both the locations. All 541 mutants were characterized for chlorophyll and epicuticular wax contents, while a subset of 84 mutants were characterized for their ionomes, namely, phosphorous, silicon, and chloride contents. Genotyping of these mutants with 54 genomewide simple sequence repeat (SSR) markers revealed 93% of the mutants to be either completely identical to WT or nearly identical with just one polymorphic locus. Whole genome resequencing (WGS) of four mutants, which have minimal differences in the SSR fingerprint pattern and DUS characters from the WT, revealed a staggeringly high number of single nucleotide polymorphisms (SNPs) on an average (16,453 per mutant) in the genic sequences. Of these, nearly 50% of the SNPs led to non-synonymous codons, while 30% resulted in synonymous codons. The number of insertions and deletions (InDels) varied from 898 to 2,595, with more than 80% of them being 1-2 bp long. Such a high number of SNPs could pose a serious challenge in identifying gene(s) governing the mutant phenotype by next generation sequencing-based mapping approaches such as Mutmap. From the WGS data of the WT and the mutants, we developed a genic resource of the WT with a novel analysis pipeline. The entire information about this resource along with the panicle architecture of the 493 mutants is made available in a mutant database EMSgardeN22 (http://14.139.229.201/EMSgardeN22).

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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 5 12%
Student > Bachelor 5 12%
Student > Master 3 7%
Student > Doctoral Student 2 5%
Other 4 10%
Unknown 13 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 40%
Biochemistry, Genetics and Molecular Biology 7 17%
Engineering 2 5%
Immunology and Microbiology 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 13 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 September 2018.
All research outputs
#15,544,609
of 23,102,082 outputs
Outputs from Frontiers in Plant Science
#11,063
of 20,728 outputs
Outputs of similar age
#212,131
of 335,392 outputs
Outputs of similar age from Frontiers in Plant Science
#287
of 440 outputs
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