Cargando…

Dissecting genomic regions and underlying sheath blight resistance traits in rice ( Oryza sativa L.) using a genome‐wide association study

The productivity of rice is greatly affected by the infection of the plant pathogenic fungus Rhizoctonia solani, which causes a significant grain yield reduction globally. There exist a limited number of rice accessions that are available to develop sheath blight resistance (ShB). Our objective was...

Descripción completa

Detalles Bibliográficos
Autores principales: Naveenkumar, R, Anandan, Annamalai, Prabhukarthikeyan, Seenichamy Rathinam, Mahender, Anumalla, Sangeetha, Ganesan, Vaish, Shyam Saran, Singh, Pawan Kumar, Hussain, Waseem, Ali, Jauhar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667636/
https://www.ncbi.nlm.nih.gov/pubmed/38028647
http://dx.doi.org/10.1002/pld3.540
_version_ 1785149061132713984
author Naveenkumar, R
Anandan, Annamalai
Prabhukarthikeyan, Seenichamy Rathinam
Mahender, Anumalla
Sangeetha, Ganesan
Vaish, Shyam Saran
Singh, Pawan Kumar
Hussain, Waseem
Ali, Jauhar
author_facet Naveenkumar, R
Anandan, Annamalai
Prabhukarthikeyan, Seenichamy Rathinam
Mahender, Anumalla
Sangeetha, Ganesan
Vaish, Shyam Saran
Singh, Pawan Kumar
Hussain, Waseem
Ali, Jauhar
author_sort Naveenkumar, R
collection PubMed
description The productivity of rice is greatly affected by the infection of the plant pathogenic fungus Rhizoctonia solani, which causes a significant grain yield reduction globally. There exist a limited number of rice accessions that are available to develop sheath blight resistance (ShB). Our objective was to identify a good source of the ShB resistance, understand the heritability, and trait interactions, and identify the genomic regions for ShB resistance traits by genome‐wide association studies (GWAS). In the present study, a set of 330 traditional landraces and improved rice varieties were evaluated for ShB resistance and created a core panel of 192 accessions used in the GWAS. This panel provides a more considerable amount of genetic variance and found a significant phenotypic variation among the panel of rice accessions for all the agro‐morphological and disease‐resistance traits over the seasons. The infection rate of ShB and disease reaction were calculated as percent disease index (PDI) and area under the disease progress curve (AUDPC). The correlation analysis showed a significant positive association between PDIs and AUPDC and a negative association between PDI and plant height, flag leaf length, and grain yield. The panel was genotyped with 133 SSR microsatellite markers, resulting in a genome coverage of 314.83 Mb, and the average distance between markers is 2.53 Mb. By employing GLM and MLM (Q + K) models, 30 marker–trait associations (MTAs) were identified with targeted traits over the seasons. Among these QTLs, eight were found to be novel and located on 2, 4, 8, 10, and 12 chromosomes, which explained the phenotypic variation ranging from 5% to 15%. With the GWAS approach, six candidate genes were identified. Os05t0566400, Os08t0155900, and Os09t0567300 were found to be associated with defense mechanisms against ShB. These findings provided insights into the novel donors of IC283139, IC 277248, Sivappuchithirai Kar, and Bowalia. The promising genomic regions on 10 of 12 chromosomes associated with ShB would be useful in developing rice varieties with durable disease resistance.
format Online
Article
Text
id pubmed-10667636
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-106676362023-11-23 Dissecting genomic regions and underlying sheath blight resistance traits in rice ( Oryza sativa L.) using a genome‐wide association study Naveenkumar, R Anandan, Annamalai Prabhukarthikeyan, Seenichamy Rathinam Mahender, Anumalla Sangeetha, Ganesan Vaish, Shyam Saran Singh, Pawan Kumar Hussain, Waseem Ali, Jauhar Plant Direct Research Articles The productivity of rice is greatly affected by the infection of the plant pathogenic fungus Rhizoctonia solani, which causes a significant grain yield reduction globally. There exist a limited number of rice accessions that are available to develop sheath blight resistance (ShB). Our objective was to identify a good source of the ShB resistance, understand the heritability, and trait interactions, and identify the genomic regions for ShB resistance traits by genome‐wide association studies (GWAS). In the present study, a set of 330 traditional landraces and improved rice varieties were evaluated for ShB resistance and created a core panel of 192 accessions used in the GWAS. This panel provides a more considerable amount of genetic variance and found a significant phenotypic variation among the panel of rice accessions for all the agro‐morphological and disease‐resistance traits over the seasons. The infection rate of ShB and disease reaction were calculated as percent disease index (PDI) and area under the disease progress curve (AUDPC). The correlation analysis showed a significant positive association between PDIs and AUPDC and a negative association between PDI and plant height, flag leaf length, and grain yield. The panel was genotyped with 133 SSR microsatellite markers, resulting in a genome coverage of 314.83 Mb, and the average distance between markers is 2.53 Mb. By employing GLM and MLM (Q + K) models, 30 marker–trait associations (MTAs) were identified with targeted traits over the seasons. Among these QTLs, eight were found to be novel and located on 2, 4, 8, 10, and 12 chromosomes, which explained the phenotypic variation ranging from 5% to 15%. With the GWAS approach, six candidate genes were identified. Os05t0566400, Os08t0155900, and Os09t0567300 were found to be associated with defense mechanisms against ShB. These findings provided insights into the novel donors of IC283139, IC 277248, Sivappuchithirai Kar, and Bowalia. The promising genomic regions on 10 of 12 chromosomes associated with ShB would be useful in developing rice varieties with durable disease resistance. John Wiley and Sons Inc. 2023-11-23 /pmc/articles/PMC10667636/ /pubmed/38028647 http://dx.doi.org/10.1002/pld3.540 Text en © 2023 The Authors. Plant Direct published by American Society of Plant Biologists and the Society for Experimental Biology and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Naveenkumar, R
Anandan, Annamalai
Prabhukarthikeyan, Seenichamy Rathinam
Mahender, Anumalla
Sangeetha, Ganesan
Vaish, Shyam Saran
Singh, Pawan Kumar
Hussain, Waseem
Ali, Jauhar
Dissecting genomic regions and underlying sheath blight resistance traits in rice ( Oryza sativa L.) using a genome‐wide association study
title Dissecting genomic regions and underlying sheath blight resistance traits in rice ( Oryza sativa L.) using a genome‐wide association study
title_full Dissecting genomic regions and underlying sheath blight resistance traits in rice ( Oryza sativa L.) using a genome‐wide association study
title_fullStr Dissecting genomic regions and underlying sheath blight resistance traits in rice ( Oryza sativa L.) using a genome‐wide association study
title_full_unstemmed Dissecting genomic regions and underlying sheath blight resistance traits in rice ( Oryza sativa L.) using a genome‐wide association study
title_short Dissecting genomic regions and underlying sheath blight resistance traits in rice ( Oryza sativa L.) using a genome‐wide association study
title_sort dissecting genomic regions and underlying sheath blight resistance traits in rice ( oryza sativa l.) using a genome‐wide association study
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667636/
https://www.ncbi.nlm.nih.gov/pubmed/38028647
http://dx.doi.org/10.1002/pld3.540
work_keys_str_mv AT naveenkumarr dissectinggenomicregionsandunderlyingsheathblightresistancetraitsinriceoryzasativalusingagenomewideassociationstudy
AT anandanannamalai dissectinggenomicregionsandunderlyingsheathblightresistancetraitsinriceoryzasativalusingagenomewideassociationstudy
AT prabhukarthikeyanseenichamyrathinam dissectinggenomicregionsandunderlyingsheathblightresistancetraitsinriceoryzasativalusingagenomewideassociationstudy
AT mahenderanumalla dissectinggenomicregionsandunderlyingsheathblightresistancetraitsinriceoryzasativalusingagenomewideassociationstudy
AT sangeethaganesan dissectinggenomicregionsandunderlyingsheathblightresistancetraitsinriceoryzasativalusingagenomewideassociationstudy
AT vaishshyamsaran dissectinggenomicregionsandunderlyingsheathblightresistancetraitsinriceoryzasativalusingagenomewideassociationstudy
AT singhpawankumar dissectinggenomicregionsandunderlyingsheathblightresistancetraitsinriceoryzasativalusingagenomewideassociationstudy
AT hussainwaseem dissectinggenomicregionsandunderlyingsheathblightresistancetraitsinriceoryzasativalusingagenomewideassociationstudy
AT alijauhar dissectinggenomicregionsandunderlyingsheathblightresistancetraitsinriceoryzasativalusingagenomewideassociationstudy