Indica rice genome assembly, annotation and mining of blast disease resistance genes
Rice 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 indic...
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description | Rice 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.
We 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.
This 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. |
doi_str_mv | 10.1186/s12864-016-2523-7 |
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We 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.
This 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.</description><identifier>ISSN: 1471-2164</identifier><identifier>EISSN: 1471-2164</identifier><identifier>DOI: 10.1186/s12864-016-2523-7</identifier><identifier>PMID: 26984283</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Disease Resistance - genetics ; DNA sequencing ; DNA, Plant - genetics ; Genetic aspects ; Genome, Plant ; Genomes ; Genotype ; High-Throughput Nucleotide Sequencing ; INDEL Mutation ; Microsatellite Repeats ; Nucleotide sequencing ; Oryza - genetics ; Plant Diseases - genetics ; Polymorphism, Single Nucleotide ; Rice ; Sequence Analysis, DNA ; Single nucleotide polymorphisms</subject><ispartof>BMC genomics, 2016-03, Vol.17 (226), p.242, Article 242</ispartof><rights>COPYRIGHT 2016 BioMed Central Ltd.</rights><rights>Mahesh et al. 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c566t-30134146e056285db9e1ba090957c77444994ad80a1aeb5ce84194e0751f95853</citedby><cites>FETCH-LOGICAL-c566t-30134146e056285db9e1ba090957c77444994ad80a1aeb5ce84194e0751f95853</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4793524/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4793524/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26984283$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mahesh, H B</creatorcontrib><creatorcontrib>Shirke, Meghana Deepak</creatorcontrib><creatorcontrib>Singh, Siddarth</creatorcontrib><creatorcontrib>Rajamani, Anantharamanan</creatorcontrib><creatorcontrib>Hittalmani, Shailaja</creatorcontrib><creatorcontrib>Wang, Guo-Liang</creatorcontrib><creatorcontrib>Gowda, Malali</creatorcontrib><title>Indica rice genome assembly, annotation and mining of blast disease resistance genes</title><title>BMC genomics</title><addtitle>BMC Genomics</addtitle><description>Rice 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.
We 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.
This 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.</description><subject>Disease Resistance - genetics</subject><subject>DNA sequencing</subject><subject>DNA, Plant - genetics</subject><subject>Genetic aspects</subject><subject>Genome, Plant</subject><subject>Genomes</subject><subject>Genotype</subject><subject>High-Throughput Nucleotide Sequencing</subject><subject>INDEL Mutation</subject><subject>Microsatellite Repeats</subject><subject>Nucleotide sequencing</subject><subject>Oryza - genetics</subject><subject>Plant Diseases - genetics</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Rice</subject><subject>Sequence Analysis, DNA</subject><subject>Single nucleotide polymorphisms</subject><issn>1471-2164</issn><issn>1471-2164</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNptkV1r1jAYhoM43If7AZ5IwCPBziTN54kwhs4XBoLO45CmT2ukTUafTty_X0bn2AuSgzwk132TcBHyhrMzzq3-iFxYLRvGdSOUaBvzghxxaXgjuJYvn82H5BjxN2PcWKFekUOhnZXCtkfkepf7FANdUgQ6Qi4z0IAIczfdfaAh57KGNZVcx57OKac80jLQbgq40j4hBAS6ACZcQ94qAF-TgyFMCKeP-wn5-eXz9cXX5urb5e7i_KqJSuu1aRlvJZcamNLCqr5zwLvAHHPKRGOklM7J0FsWeIBORbCSOwnMKD44ZVV7Qj5tvTe33Qx9hLwuYfI3S5rDcudLSH7_Jqdffix_vDSuVULWgndbwRgm8CkPpWJxThj9uZRaKc1cW6mz_1B19TCnWDIMqZ7vBd7vBSqzwt91DLeIfvfj-z7LNzYuBXGB4en5nPkHy36z7Ktl_2DZm5p5-_zfT4l_Wtt7Fxig-w</recordid><startdate>20160316</startdate><enddate>20160316</enddate><creator>Mahesh, H B</creator><creator>Shirke, Meghana Deepak</creator><creator>Singh, Siddarth</creator><creator>Rajamani, Anantharamanan</creator><creator>Hittalmani, Shailaja</creator><creator>Wang, Guo-Liang</creator><creator>Gowda, Malali</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>5PM</scope></search><sort><creationdate>20160316</creationdate><title>Indica rice genome assembly, annotation and mining of blast disease resistance genes</title><author>Mahesh, H B ; Shirke, Meghana Deepak ; Singh, Siddarth ; Rajamani, Anantharamanan ; Hittalmani, Shailaja ; Wang, Guo-Liang ; Gowda, Malali</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c566t-30134146e056285db9e1ba090957c77444994ad80a1aeb5ce84194e0751f95853</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Disease Resistance - genetics</topic><topic>DNA sequencing</topic><topic>DNA, Plant - genetics</topic><topic>Genetic aspects</topic><topic>Genome, Plant</topic><topic>Genomes</topic><topic>Genotype</topic><topic>High-Throughput Nucleotide Sequencing</topic><topic>INDEL Mutation</topic><topic>Microsatellite Repeats</topic><topic>Nucleotide sequencing</topic><topic>Oryza - genetics</topic><topic>Plant Diseases - genetics</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Rice</topic><topic>Sequence Analysis, DNA</topic><topic>Single nucleotide polymorphisms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mahesh, H B</creatorcontrib><creatorcontrib>Shirke, Meghana Deepak</creatorcontrib><creatorcontrib>Singh, Siddarth</creatorcontrib><creatorcontrib>Rajamani, Anantharamanan</creatorcontrib><creatorcontrib>Hittalmani, Shailaja</creatorcontrib><creatorcontrib>Wang, Guo-Liang</creatorcontrib><creatorcontrib>Gowda, Malali</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC genomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mahesh, H B</au><au>Shirke, Meghana Deepak</au><au>Singh, Siddarth</au><au>Rajamani, Anantharamanan</au><au>Hittalmani, Shailaja</au><au>Wang, Guo-Liang</au><au>Gowda, Malali</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Indica rice genome assembly, annotation and mining of blast disease resistance genes</atitle><jtitle>BMC genomics</jtitle><addtitle>BMC Genomics</addtitle><date>2016-03-16</date><risdate>2016</risdate><volume>17</volume><issue>226</issue><spage>242</spage><pages>242-</pages><artnum>242</artnum><issn>1471-2164</issn><eissn>1471-2164</eissn><abstract>Rice 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.
We 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.
This 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.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>26984283</pmid><doi>10.1186/s12864-016-2523-7</doi><oa>free_for_read</oa></addata></record> |
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subjects | Disease Resistance - genetics DNA sequencing DNA, Plant - genetics Genetic aspects Genome, Plant Genomes Genotype High-Throughput Nucleotide Sequencing INDEL Mutation Microsatellite Repeats Nucleotide sequencing Oryza - genetics Plant Diseases - genetics Polymorphism, Single Nucleotide Rice Sequence Analysis, DNA Single nucleotide polymorphisms |
title | Indica rice genome assembly, annotation and mining of blast disease resistance genes |
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