Cargando…

Mining of favorable alleles for seed reserve utilization efficiency in Oryza sativa by means of association mapping

BACKGROUND: Wet direct-seeded rice is a possible alternative to conventional puddled transplanted rice; the former uses less water and reduces labor requirements. Improving seed reserve utilization efficiency (SRUE) is a key factor in facilitating the application of this technology. However, the QTL...

Descripción completa

Detalles Bibliográficos
Autores principales: Ali, Nour, Li, Dalu, Eltahawy, Moaz S., Abdulmajid, Dina, Bux, Lal, Liu, Erbao, Dang, Xiaojing, Hong, Delin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966888/
https://www.ncbi.nlm.nih.gov/pubmed/31948408
http://dx.doi.org/10.1186/s12863-020-0811-3
_version_ 1783488839245889536
author Ali, Nour
Li, Dalu
Eltahawy, Moaz S.
Abdulmajid, Dina
Bux, Lal
Liu, Erbao
Dang, Xiaojing
Hong, Delin
author_facet Ali, Nour
Li, Dalu
Eltahawy, Moaz S.
Abdulmajid, Dina
Bux, Lal
Liu, Erbao
Dang, Xiaojing
Hong, Delin
author_sort Ali, Nour
collection PubMed
description BACKGROUND: Wet direct-seeded rice is a possible alternative to conventional puddled transplanted rice; the former uses less water and reduces labor requirements. Improving seed reserve utilization efficiency (SRUE) is a key factor in facilitating the application of this technology. However, the QTLs controlling this trait are poorly investigated. In this study, a genome-wide association study (GWAS) was conducted using a natural population composed of 542 accessions of rice (Oryza sativa L.) which were genotyped using 266 SSR markers. Large phenotypic variations in SRUE were found in the studied population. RESULTS: The average SRUE over 542 accessions across two years (2016 and 2017) was 0.52 mg.mg(− 1), ranging from 0.22 mg.mg-(1) to 0.93 mg.mg(− 1), with a coefficient of variation of 22.66%. Overall, 2879 marker alleles were detected in the population by 266 pairs of SSR markers, indicating a large genetic variation existing in the population. Using general linear model method, 13 SSR marker loci associated with SRUE were detected and two (RM7309 and RM434) of the 13 loci, were also detected using mixed linear model analyses, with percentage of phenotypic variation explained (PVE) greater than 5% across two years. The 13 association loci (P < 0.01) were located on all chromosomes except chromosome 11, with PVE ranging from 5.05% (RM5158 on chromosome 5) to 12% (RM297 on chromosome 1). Association loci RM7309 on chromosome 6 and RM434 on chromosome 9 revealed by both models were detected in both years. Twenty-three favorable alleles were identified with phenotypic effect values (PEV) ranging from 0.10 mg.mg(− 1) (RM7309–135 bp on chromosome 9) to 0.45 mg.mg(− 1) (RM297–180 bp on chromosome 2). RM297–180 bp showed the largest phenotypic effect value (0.44 mg.mg(− 1) in 2016 and 0.45 mg.mg(− 1) in 2017) with 6.72% of the accessions carrying this allele and the typical carrier accession was Manyedao, followed by RM297–175 bp (0.43 mg.mg(− 1) in 2016 and 0.44 mg.mg(− 1) in 2017). CONCLUSION: Nine novel association loci for SRUE were identified, compared with previous studies. The optimal parental combinations for pyramiding more favorable alleles for SRUE were selected and could be used for breeding rice accessions suitable for wet direct seeding in the future.
format Online
Article
Text
id pubmed-6966888
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-69668882020-01-27 Mining of favorable alleles for seed reserve utilization efficiency in Oryza sativa by means of association mapping Ali, Nour Li, Dalu Eltahawy, Moaz S. Abdulmajid, Dina Bux, Lal Liu, Erbao Dang, Xiaojing Hong, Delin BMC Genet Research Article BACKGROUND: Wet direct-seeded rice is a possible alternative to conventional puddled transplanted rice; the former uses less water and reduces labor requirements. Improving seed reserve utilization efficiency (SRUE) is a key factor in facilitating the application of this technology. However, the QTLs controlling this trait are poorly investigated. In this study, a genome-wide association study (GWAS) was conducted using a natural population composed of 542 accessions of rice (Oryza sativa L.) which were genotyped using 266 SSR markers. Large phenotypic variations in SRUE were found in the studied population. RESULTS: The average SRUE over 542 accessions across two years (2016 and 2017) was 0.52 mg.mg(− 1), ranging from 0.22 mg.mg-(1) to 0.93 mg.mg(− 1), with a coefficient of variation of 22.66%. Overall, 2879 marker alleles were detected in the population by 266 pairs of SSR markers, indicating a large genetic variation existing in the population. Using general linear model method, 13 SSR marker loci associated with SRUE were detected and two (RM7309 and RM434) of the 13 loci, were also detected using mixed linear model analyses, with percentage of phenotypic variation explained (PVE) greater than 5% across two years. The 13 association loci (P < 0.01) were located on all chromosomes except chromosome 11, with PVE ranging from 5.05% (RM5158 on chromosome 5) to 12% (RM297 on chromosome 1). Association loci RM7309 on chromosome 6 and RM434 on chromosome 9 revealed by both models were detected in both years. Twenty-three favorable alleles were identified with phenotypic effect values (PEV) ranging from 0.10 mg.mg(− 1) (RM7309–135 bp on chromosome 9) to 0.45 mg.mg(− 1) (RM297–180 bp on chromosome 2). RM297–180 bp showed the largest phenotypic effect value (0.44 mg.mg(− 1) in 2016 and 0.45 mg.mg(− 1) in 2017) with 6.72% of the accessions carrying this allele and the typical carrier accession was Manyedao, followed by RM297–175 bp (0.43 mg.mg(− 1) in 2016 and 0.44 mg.mg(− 1) in 2017). CONCLUSION: Nine novel association loci for SRUE were identified, compared with previous studies. The optimal parental combinations for pyramiding more favorable alleles for SRUE were selected and could be used for breeding rice accessions suitable for wet direct seeding in the future. BioMed Central 2020-01-16 /pmc/articles/PMC6966888/ /pubmed/31948408 http://dx.doi.org/10.1186/s12863-020-0811-3 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Ali, Nour
Li, Dalu
Eltahawy, Moaz S.
Abdulmajid, Dina
Bux, Lal
Liu, Erbao
Dang, Xiaojing
Hong, Delin
Mining of favorable alleles for seed reserve utilization efficiency in Oryza sativa by means of association mapping
title Mining of favorable alleles for seed reserve utilization efficiency in Oryza sativa by means of association mapping
title_full Mining of favorable alleles for seed reserve utilization efficiency in Oryza sativa by means of association mapping
title_fullStr Mining of favorable alleles for seed reserve utilization efficiency in Oryza sativa by means of association mapping
title_full_unstemmed Mining of favorable alleles for seed reserve utilization efficiency in Oryza sativa by means of association mapping
title_short Mining of favorable alleles for seed reserve utilization efficiency in Oryza sativa by means of association mapping
title_sort mining of favorable alleles for seed reserve utilization efficiency in oryza sativa by means of association mapping
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966888/
https://www.ncbi.nlm.nih.gov/pubmed/31948408
http://dx.doi.org/10.1186/s12863-020-0811-3
work_keys_str_mv AT alinour miningoffavorableallelesforseedreserveutilizationefficiencyinoryzasativabymeansofassociationmapping
AT lidalu miningoffavorableallelesforseedreserveutilizationefficiencyinoryzasativabymeansofassociationmapping
AT eltahawymoazs miningoffavorableallelesforseedreserveutilizationefficiencyinoryzasativabymeansofassociationmapping
AT abdulmajiddina miningoffavorableallelesforseedreserveutilizationefficiencyinoryzasativabymeansofassociationmapping
AT buxlal miningoffavorableallelesforseedreserveutilizationefficiencyinoryzasativabymeansofassociationmapping
AT liuerbao miningoffavorableallelesforseedreserveutilizationefficiencyinoryzasativabymeansofassociationmapping
AT dangxiaojing miningoffavorableallelesforseedreserveutilizationefficiencyinoryzasativabymeansofassociationmapping
AT hongdelin miningoffavorableallelesforseedreserveutilizationefficiencyinoryzasativabymeansofassociationmapping