Evidence map›Paper›PMID 26984283›Full record

ArticleBMC genomics2016

Indica rice genome assembly, annotation and mining of blast disease resistance genes.

H B Mahesh, Meghana Deepak Shirke, Siddarth Singh, Anantharamanan Rajamani, Shailaja Hittalmani, Guo-Liang Wang, Malali Gowda

Abstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

H B MaheshGenomics Laboratory, Centre for Cellular and Molecular Platforms (C-CAMP), National Centre for Biological Sciences (NCBS), Bengaluru, 560065, India.
Meghana Deepak ShirkeGenomics Laboratory, Centre for Cellular and Molecular Platforms (C-CAMP), National Centre for Biological Sciences (NCBS), Bengaluru, 560065, India.
Siddarth SinghPacific Biosciences, Boon Lay Way, Singapore, 609964, Singapore.
Anantharamanan RajamaniGenomics Laboratory, Centre for Cellular and Molecular Platforms (C-CAMP), National Centre for Biological Sciences (NCBS), Bengaluru, 560065, India.
Shailaja HittalmaniMarker Assisted Selection Laboratory, Department of Genetics and Plant Breeding, University of Agricultural Sciences, Bengaluru, 560065, India.
Guo-Liang WangDepartment of Plant Pathology, College of Food, Agricultural and Environmental Sciences, Ohio State University, Columbus, 43210, USA.
Malali GowdaGenomics Laboratory, Centre for Cellular and Molecular Platforms (C-CAMP), National Centre for Biological Sciences (NCBS), Bengaluru, 560065, India. malalig@ccamp.res.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRice is a major staple food crop in the world. Over 80% of rice cultivation area is under indica rice. Currently, genomic resources are lacking for indica as compared to japonica rice. In this study, we generated deep-sequencing data (Illumina and Pacific Biosciences sequencing) for one of the indica rice cultivars, HR-12 from India.

resultsWe assembled over 86% (389 Mb) of rice genome and annotated 56,284 protein-coding genes from HR-12 genome using Illumina and PacBio sequencing. Comprehensive comparative analyses between indica and japonica subspecies genomes revealed a large number of indica specific variants including SSRs, SNPs and InDels. To mine disease resistance genes, we sequenced few indica rice cultivars that are reported to be highly resistant (Tetep and Tadukan) and susceptible (HR-12 and Co-39) against blast fungal isolates in many countries including India. Whole genome sequencing of rice genotypes revealed high rate of mutations in defense related genes (NB-ARC, LRR and PK domains) in resistant cultivars as compared to susceptible. This study has identified R-genes Pi-ta and Pi54 from durable indica resistant cultivars; Tetep and Tadukan, which can be used in marker assisted selection in rice breeding program.

conclusionsThis is the first report of whole genome sequencing approach to characterize Indian rice germplasm. The genomic resources from our work will have a greater impact in understanding global rice diversity, genetics and molecular breeding.

Indexed as

Genome, PlantDisease ResistanceDNA, PlantGenotypeHigh-Throughput Nucleotide SequencingINDEL MutationMicrosatellite RepeatsOryzaPlant DiseasesPolymorphism, Single NucleotideSequence Analysis, DNADNA, PlantBlast resistanceGenome sequencingIlluminaIndicaO. sativaPacific BiosciencesSNPsSSRs

Identifiers

PMID26984283
PMCPMC4793524

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.