Mapping QTLs for tolerance to salt stress at the early seedling stage in rice (Oryza sativa L.) using a newly identified donor ‘Madina Koyo’

Salt stress is a menace to rice production and a threat to food security worldwide. We evaluated 308 F4 families from Sahel 317/Madina Koyo for tolerance to salt stress at the early seedling stage. To better understand genomic regions controlling tolerance in the population, we genotyped the progeni...

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Main Authors: Amoah, N.K.A., Akromah, R., Kena, A.W., Manneh, B., Dieng, I., Bimpong, I.K.
Format: Journal Article
Language:Inglés
Published: Springer 2020
Subjects:
Online Access:https://hdl.handle.net/10568/113393
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author Amoah, N.K.A.
Akromah, R.
Kena, A.W.
Manneh, B.
Dieng, I.
Bimpong, I.K.
author_browse Akromah, R.
Amoah, N.K.A.
Bimpong, I.K.
Dieng, I.
Kena, A.W.
Manneh, B.
author_facet Amoah, N.K.A.
Akromah, R.
Kena, A.W.
Manneh, B.
Dieng, I.
Bimpong, I.K.
author_sort Amoah, N.K.A.
collection Repository of Agricultural Research Outputs (CGSpace)
description Salt stress is a menace to rice production and a threat to food security worldwide. We evaluated 308 F4 families from Sahel 317/Madina Koyo for tolerance to salt stress at the early seedling stage. To better understand genomic regions controlling tolerance in the population, we genotyped the progenies and the two parents using single nucleotide polymorphism (SNP) markers and regressed the genotypic data on their phenotype to detect QTLs. An average reduction of 63.4% was observed for all fitness-related traits among the F4 families. A total of 46 progenies recorded an average salt injury score (SIS) between 1–3 and were rated as tolerant to salt stress at the early seedling stage. A high-density genetic map was constructed for the 12 rice chromosomes using 3698 SNP markers. Multiple interval mapping identified 13 QTLs for SIS, shoot length, shoot dry weight and root length on chromosomes 2, 3, 4, 6, 7, 10 and 12, with trait increasing alleles coming from both parents. Two (qSDW2 and qRL2.2) and three (qSL2, qRL2.1 and qSIS2) QTLs at different regions on chromosome 2 and another two on chromosome 7 (qSDW7 and qSL7) were tightly linked. These QTLs could facilitate breeding for salt tolerance at the early seedling stage as direct selection for one, would mean indirectly selecting for the other. Fine mapping of these novel QTLs in a different genetic background is necessary to confirm their stability and usefulness in breeding for tolerance to salinity in rice.
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spelling CGSpace1133932025-11-13T10:38:33Z Mapping QTLs for tolerance to salt stress at the early seedling stage in rice (Oryza sativa L.) using a newly identified donor ‘Madina Koyo’ Amoah, N.K.A. Akromah, R. Kena, A.W. Manneh, B. Dieng, I. Bimpong, I.K. rice seedlings osmotic stress nucleotide sequence quantitative trait loci single nucleotide polymorphism horticulture genetics Salt stress is a menace to rice production and a threat to food security worldwide. We evaluated 308 F4 families from Sahel 317/Madina Koyo for tolerance to salt stress at the early seedling stage. To better understand genomic regions controlling tolerance in the population, we genotyped the progenies and the two parents using single nucleotide polymorphism (SNP) markers and regressed the genotypic data on their phenotype to detect QTLs. An average reduction of 63.4% was observed for all fitness-related traits among the F4 families. A total of 46 progenies recorded an average salt injury score (SIS) between 1–3 and were rated as tolerant to salt stress at the early seedling stage. A high-density genetic map was constructed for the 12 rice chromosomes using 3698 SNP markers. Multiple interval mapping identified 13 QTLs for SIS, shoot length, shoot dry weight and root length on chromosomes 2, 3, 4, 6, 7, 10 and 12, with trait increasing alleles coming from both parents. Two (qSDW2 and qRL2.2) and three (qSL2, qRL2.1 and qSIS2) QTLs at different regions on chromosome 2 and another two on chromosome 7 (qSDW7 and qSL7) were tightly linked. These QTLs could facilitate breeding for salt tolerance at the early seedling stage as direct selection for one, would mean indirectly selecting for the other. Fine mapping of these novel QTLs in a different genetic background is necessary to confirm their stability and usefulness in breeding for tolerance to salinity in rice. 2020-10 2021-04-16T10:17:14Z 2021-04-16T10:17:14Z Journal Article https://hdl.handle.net/10568/113393 en Open Access application/pdf Springer Amoah, N.K.A., Akromah, R., Kena, A.W., Manneh, B., Dieng, I. & Bimpong, I.K. (2020). Mapping QTLs for tolerance to salt stress at the early seedling stage in rice (Oryza sativa L.) using a newly identified donor ‘Madina Koyo’. Euphytica, 216(10), 1-23.
spellingShingle rice
seedlings
osmotic stress
nucleotide sequence
quantitative trait loci
single nucleotide polymorphism
horticulture
genetics
Amoah, N.K.A.
Akromah, R.
Kena, A.W.
Manneh, B.
Dieng, I.
Bimpong, I.K.
Mapping QTLs for tolerance to salt stress at the early seedling stage in rice (Oryza sativa L.) using a newly identified donor ‘Madina Koyo’
title Mapping QTLs for tolerance to salt stress at the early seedling stage in rice (Oryza sativa L.) using a newly identified donor ‘Madina Koyo’
title_full Mapping QTLs for tolerance to salt stress at the early seedling stage in rice (Oryza sativa L.) using a newly identified donor ‘Madina Koyo’
title_fullStr Mapping QTLs for tolerance to salt stress at the early seedling stage in rice (Oryza sativa L.) using a newly identified donor ‘Madina Koyo’
title_full_unstemmed Mapping QTLs for tolerance to salt stress at the early seedling stage in rice (Oryza sativa L.) using a newly identified donor ‘Madina Koyo’
title_short Mapping QTLs for tolerance to salt stress at the early seedling stage in rice (Oryza sativa L.) using a newly identified donor ‘Madina Koyo’
title_sort mapping qtls for tolerance to salt stress at the early seedling stage in rice oryza sativa l using a newly identified donor madina koyo
topic rice
seedlings
osmotic stress
nucleotide sequence
quantitative trait loci
single nucleotide polymorphism
horticulture
genetics
url https://hdl.handle.net/10568/113393
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