Mapping QTLs using a novel source of salinity tolerance from Hasawi and their interaction with environments in rice

Salinity is one of the most severe and widespread abiotic stresses that affect rice production. The identification of major-effect quantitative trait loci (QTLs) for traits related to salinity tolerance and understanding of QTL × environment interactions (QEIs) can help in more precise and faster de...

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Main Authors: Rahman, M. Akhlasur, Bimpong, Isaac Kofi, Bizimana, J.B., Pascual, Evangeline D., Arceta, Marydee, Swamy, B.P. Mallikarjuna, Diaw, Faty, Rahman, M. Sazzadur, Singh, R.K.
Format: Journal Article
Language:Inglés
Published: Springer 2017
Online Access:https://hdl.handle.net/10568/164958
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author Rahman, M. Akhlasur
Bimpong, Isaac Kofi
Bizimana, J.B.
Pascual, Evangeline D.
Arceta, Marydee
Swamy, B.P. Mallikarjuna
Diaw, Faty
Rahman, M. Sazzadur
Singh, R.K.
author_browse Arceta, Marydee
Bimpong, Isaac Kofi
Bizimana, J.B.
Diaw, Faty
Pascual, Evangeline D.
Rahman, M. Akhlasur
Rahman, M. Sazzadur
Singh, R.K.
Swamy, B.P. Mallikarjuna
author_facet Rahman, M. Akhlasur
Bimpong, Isaac Kofi
Bizimana, J.B.
Pascual, Evangeline D.
Arceta, Marydee
Swamy, B.P. Mallikarjuna
Diaw, Faty
Rahman, M. Sazzadur
Singh, R.K.
author_sort Rahman, M. Akhlasur
collection Repository of Agricultural Research Outputs (CGSpace)
description Salinity is one of the most severe and widespread abiotic stresses that affect rice production. The identification of major-effect quantitative trait loci (QTLs) for traits related to salinity tolerance and understanding of QTL × environment interactions (QEIs) can help in more precise and faster development of salinity-tolerant rice varieties through marker-assisted breeding. Recombinant inbred lines (RILs) derived from IR29/Hasawi (a novel source of salinity) were screened for salinity tolerance in the IRRI phytotron in the Philippines (E1) and in two other diverse environments in Senegal (E2) and Tanzania (E3). QTLs were mapped for traits related to salinity tolerance at the seedling stage The RILs were genotyped using 194 polymorphic SNPs (single nucleotide polymorphisms). After removing segregation distortion markers (SDM), a total of 145 and 135 SNPs were used to construct a genetic linkage map with a length of 1655 and 1662 cM, with an average marker density of 11.4 cM in E1 and 12.3 cM in E2 and E3, respectively. A total of 34 QTLs were identified on 10 chromosomes for five traits using ICIM-ADD and segregation distortion locus (SDL) mapping (IM-ADD) under salinity stress across environments. Eight major genomic regions on chromosome 1 between 170 and 175 cM (qSES1.3, qSES1.4, qSL1.2, qSL1.3, qRL1.1, qRL1.2, qFWsht1.2, qDWsht1.2), chromosome 4 at 32 cM (qSES4.1, qFWsht4.2, qDWsht4.2), chromosome 6 at 115 cM (qFWsht6.1, qDWsht6.1), chromosome 8 at 105 cM (qFWsht8.1, qDWsht8.1), and chromosome 12 at 78 cM (qFWsht12.1, qDWsht12.1) have co-localized QTLs for the multiple traits that might be governing seedling stage salinity tolerance through multiple traits in different phenotyping environments, thus suggesting these as hot spots for tolerance of salinity. Forty-nine and 30 significant pair-wise epistatic interactions were detected between QTL-linked and QTL-unlinked regions using single-environment and multi-environment analyses The identification of genomic regions for salinity tolerance in the RILs showed that Hasawi possesses alleles that are novel for salinity tolerance. The common regions for the multiple QTLs across environments as co-localized regions on chromosomes 1, 4, 6, 8, and 12 could be due to linkage or pleiotropic effect, which might be helpful for multiple QTL introgression for marker-assisted breeding programs to improve the salinity tolerance of adaptive and popular but otherwise salinity-sensitive rice varieties.
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spelling CGSpace1649582025-05-14T10:40:01Z Mapping QTLs using a novel source of salinity tolerance from Hasawi and their interaction with environments in rice Rahman, M. Akhlasur Bimpong, Isaac Kofi Bizimana, J.B. Pascual, Evangeline D. Arceta, Marydee Swamy, B.P. Mallikarjuna Diaw, Faty Rahman, M. Sazzadur Singh, R.K. Salinity is one of the most severe and widespread abiotic stresses that affect rice production. The identification of major-effect quantitative trait loci (QTLs) for traits related to salinity tolerance and understanding of QTL × environment interactions (QEIs) can help in more precise and faster development of salinity-tolerant rice varieties through marker-assisted breeding. Recombinant inbred lines (RILs) derived from IR29/Hasawi (a novel source of salinity) were screened for salinity tolerance in the IRRI phytotron in the Philippines (E1) and in two other diverse environments in Senegal (E2) and Tanzania (E3). QTLs were mapped for traits related to salinity tolerance at the seedling stage The RILs were genotyped using 194 polymorphic SNPs (single nucleotide polymorphisms). After removing segregation distortion markers (SDM), a total of 145 and 135 SNPs were used to construct a genetic linkage map with a length of 1655 and 1662 cM, with an average marker density of 11.4 cM in E1 and 12.3 cM in E2 and E3, respectively. A total of 34 QTLs were identified on 10 chromosomes for five traits using ICIM-ADD and segregation distortion locus (SDL) mapping (IM-ADD) under salinity stress across environments. Eight major genomic regions on chromosome 1 between 170 and 175 cM (qSES1.3, qSES1.4, qSL1.2, qSL1.3, qRL1.1, qRL1.2, qFWsht1.2, qDWsht1.2), chromosome 4 at 32 cM (qSES4.1, qFWsht4.2, qDWsht4.2), chromosome 6 at 115 cM (qFWsht6.1, qDWsht6.1), chromosome 8 at 105 cM (qFWsht8.1, qDWsht8.1), and chromosome 12 at 78 cM (qFWsht12.1, qDWsht12.1) have co-localized QTLs for the multiple traits that might be governing seedling stage salinity tolerance through multiple traits in different phenotyping environments, thus suggesting these as hot spots for tolerance of salinity. Forty-nine and 30 significant pair-wise epistatic interactions were detected between QTL-linked and QTL-unlinked regions using single-environment and multi-environment analyses The identification of genomic regions for salinity tolerance in the RILs showed that Hasawi possesses alleles that are novel for salinity tolerance. The common regions for the multiple QTLs across environments as co-localized regions on chromosomes 1, 4, 6, 8, and 12 could be due to linkage or pleiotropic effect, which might be helpful for multiple QTL introgression for marker-assisted breeding programs to improve the salinity tolerance of adaptive and popular but otherwise salinity-sensitive rice varieties. 2017-12 2024-12-19T12:54:31Z 2024-12-19T12:54:31Z Journal Article https://hdl.handle.net/10568/164958 en Open Access Springer Rahman, M. Akhlasur; Bimpong, Isaac Kofi; Bizimana, J. B.; Pascual, Evangeline D.; Arceta, Marydee; Swamy, B. P. Mallikarjuna; Diaw, Faty; Rahman, M. Sazzadur and Singh, R. K. 2017. Mapping QTLs using a novel source of salinity tolerance from Hasawi and their interaction with environments in rice. Rice, Volume 10, no. 1
spellingShingle Rahman, M. Akhlasur
Bimpong, Isaac Kofi
Bizimana, J.B.
Pascual, Evangeline D.
Arceta, Marydee
Swamy, B.P. Mallikarjuna
Diaw, Faty
Rahman, M. Sazzadur
Singh, R.K.
Mapping QTLs using a novel source of salinity tolerance from Hasawi and their interaction with environments in rice
title Mapping QTLs using a novel source of salinity tolerance from Hasawi and their interaction with environments in rice
title_full Mapping QTLs using a novel source of salinity tolerance from Hasawi and their interaction with environments in rice
title_fullStr Mapping QTLs using a novel source of salinity tolerance from Hasawi and their interaction with environments in rice
title_full_unstemmed Mapping QTLs using a novel source of salinity tolerance from Hasawi and their interaction with environments in rice
title_short Mapping QTLs using a novel source of salinity tolerance from Hasawi and their interaction with environments in rice
title_sort mapping qtls using a novel source of salinity tolerance from hasawi and their interaction with environments in rice
url https://hdl.handle.net/10568/164958
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