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Identification of a Diverse Core Set Panel of Rice From the East Coast Region of India Using SNP Markers

In India, rice (Oryza sativa L.) is cultivated under a variety of climatic conditions. Due to the fragility of the coastal ecosystem, rice farming in these areas has lagged behind. Salinity coupled with floods has added to this trend. Hence, to prevent genetic erosion, conserving and characterizing...

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Autores principales: Choudhury, Debjani Roy, Kumar, Ramesh, S, Vimala Devi, Singh, Kuldeep, Singh, N. K., Singh, Rakesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655924/
https://www.ncbi.nlm.nih.gov/pubmed/34899828
http://dx.doi.org/10.3389/fgene.2021.726152
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author Choudhury, Debjani Roy
Kumar, Ramesh
S, Vimala Devi
Singh, Kuldeep
Singh, N. K.
Singh, Rakesh
author_facet Choudhury, Debjani Roy
Kumar, Ramesh
S, Vimala Devi
Singh, Kuldeep
Singh, N. K.
Singh, Rakesh
author_sort Choudhury, Debjani Roy
collection PubMed
description In India, rice (Oryza sativa L.) is cultivated under a variety of climatic conditions. Due to the fragility of the coastal ecosystem, rice farming in these areas has lagged behind. Salinity coupled with floods has added to this trend. Hence, to prevent genetic erosion, conserving and characterizing the coastal rice, is the need of the hour. This work accessed the genetic variation and population structure among 2,242 rice accessions originating from India’s east coast comprising Andhra Pradesh, Orissa, and Tamil Nadu, using 36 SNP markers, and have generated a core set (247 accessions) as well as a mini-core set (30 accessions) of rice germplasm. All the 36 SNP loci were biallelic and 72 alleles found with average two alleles per locus. The genetic relatedness of the total collection was inferred using the un-rooted neighbor-joining tree, which grouped all the genotypes (2,242) into three major clusters. Two groups were obtained with a core set and three groups obtained with a mini core set. The mean PIC value of total collection was 0.24, and those of the core collection and mini core collection were 0.27 and 0.32, respectively. The mean heterozygosity and gene diversity of the overall collection were 0.07 and 0.29, respectively, and the core set and mini core set revealed 0.12 and 0.34, 0.20 and 0.40 values, respectively, representing 99% of distinctiveness in the core and mini core sets. Population structure analysis showed maximum population at K = 4 for total collection and core collection. Accessions were distributed according to their population structure confirmed by PCoA and AMOVA analysis. The identified small and diverse core set panel will be useful in allele mining for biotic and abiotic traits and managing the genetic diversity of the coastal rice collection. Validation of the 36-plex SNP assay was done by comparing the genetic diversity parameters across two different rice core collections, i.e., east coast and northeast rice collection. The same set of SNP markers was found very effective in deciphering diversity at different genetic parameters in both the collections; hence, these marker sets can be utilized for core development and diversity analysis studies.
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spelling pubmed-86559242021-12-10 Identification of a Diverse Core Set Panel of Rice From the East Coast Region of India Using SNP Markers Choudhury, Debjani Roy Kumar, Ramesh S, Vimala Devi Singh, Kuldeep Singh, N. K. Singh, Rakesh Front Genet Genetics In India, rice (Oryza sativa L.) is cultivated under a variety of climatic conditions. Due to the fragility of the coastal ecosystem, rice farming in these areas has lagged behind. Salinity coupled with floods has added to this trend. Hence, to prevent genetic erosion, conserving and characterizing the coastal rice, is the need of the hour. This work accessed the genetic variation and population structure among 2,242 rice accessions originating from India’s east coast comprising Andhra Pradesh, Orissa, and Tamil Nadu, using 36 SNP markers, and have generated a core set (247 accessions) as well as a mini-core set (30 accessions) of rice germplasm. All the 36 SNP loci were biallelic and 72 alleles found with average two alleles per locus. The genetic relatedness of the total collection was inferred using the un-rooted neighbor-joining tree, which grouped all the genotypes (2,242) into three major clusters. Two groups were obtained with a core set and three groups obtained with a mini core set. The mean PIC value of total collection was 0.24, and those of the core collection and mini core collection were 0.27 and 0.32, respectively. The mean heterozygosity and gene diversity of the overall collection were 0.07 and 0.29, respectively, and the core set and mini core set revealed 0.12 and 0.34, 0.20 and 0.40 values, respectively, representing 99% of distinctiveness in the core and mini core sets. Population structure analysis showed maximum population at K = 4 for total collection and core collection. Accessions were distributed according to their population structure confirmed by PCoA and AMOVA analysis. The identified small and diverse core set panel will be useful in allele mining for biotic and abiotic traits and managing the genetic diversity of the coastal rice collection. Validation of the 36-plex SNP assay was done by comparing the genetic diversity parameters across two different rice core collections, i.e., east coast and northeast rice collection. The same set of SNP markers was found very effective in deciphering diversity at different genetic parameters in both the collections; hence, these marker sets can be utilized for core development and diversity analysis studies. Frontiers Media S.A. 2021-11-25 /pmc/articles/PMC8655924/ /pubmed/34899828 http://dx.doi.org/10.3389/fgene.2021.726152 Text en Copyright © 2021 Choudhury, Kumar, S, Singh, Singh and Singh. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Choudhury, Debjani Roy
Kumar, Ramesh
S, Vimala Devi
Singh, Kuldeep
Singh, N. K.
Singh, Rakesh
Identification of a Diverse Core Set Panel of Rice From the East Coast Region of India Using SNP Markers
title Identification of a Diverse Core Set Panel of Rice From the East Coast Region of India Using SNP Markers
title_full Identification of a Diverse Core Set Panel of Rice From the East Coast Region of India Using SNP Markers
title_fullStr Identification of a Diverse Core Set Panel of Rice From the East Coast Region of India Using SNP Markers
title_full_unstemmed Identification of a Diverse Core Set Panel of Rice From the East Coast Region of India Using SNP Markers
title_short Identification of a Diverse Core Set Panel of Rice From the East Coast Region of India Using SNP Markers
title_sort identification of a diverse core set panel of rice from the east coast region of india using snp markers
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8655924/
https://www.ncbi.nlm.nih.gov/pubmed/34899828
http://dx.doi.org/10.3389/fgene.2021.726152
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