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QTLs underlying natural variation of root growth angle among rice cultivars with the same functional allele of DEEPER ROOTING 1

BACKGROUND: The functional allele of the rice gene DEEPER ROOTING 1 (DRO1) increases the root growth angle (RGA). However, wide natural variation in RGA is observed among rice cultivars with the functional DRO1 allele. To elucidate genetic factors related to such variation, we quantitatively measure...

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Autores principales: Kitomi, Yuka, Kanno, Noriko, Kawai, Sawako, Mizubayashi, Tatsumi, Fukuoka, Shuichi, Uga, Yusaku
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4385264/
https://www.ncbi.nlm.nih.gov/pubmed/25844121
http://dx.doi.org/10.1186/s12284-015-0049-2
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author Kitomi, Yuka
Kanno, Noriko
Kawai, Sawako
Mizubayashi, Tatsumi
Fukuoka, Shuichi
Uga, Yusaku
author_facet Kitomi, Yuka
Kanno, Noriko
Kawai, Sawako
Mizubayashi, Tatsumi
Fukuoka, Shuichi
Uga, Yusaku
author_sort Kitomi, Yuka
collection PubMed
description BACKGROUND: The functional allele of the rice gene DEEPER ROOTING 1 (DRO1) increases the root growth angle (RGA). However, wide natural variation in RGA is observed among rice cultivars with the functional DRO1 allele. To elucidate genetic factors related to such variation, we quantitatively measured RGA using the basket method and analyzed quantitative trait loci (QTLs) for RGA in three F(2) mapping populations derived from crosses between the large RGA–type cultivar Kinandang Patong and each of three accessions with varying RGA: Momiroman has small RGA and was used to produce the MoK-F2 population; Yumeaoba has intermediate RGA (YuK-F2 population); Tachisugata has large RGA (TaK-F2 population). All four accessions belong to the same haplotype group of functional DRO1 allele. RESULTS: We detected the following statistically significant QTLs: one QTL on chromosome 4 in MoK-F2, three QTLs on chromosomes 2, 4, and 6 in YuK-F2, and one QTL on chromosome 2 in TaK-F2. Among them, the two QTLs on chromosome 4 were located near DRO2, which has been previously reported as a major QTL for RGA, whereas the two major QTLs for RGA on chromosomes 2 (DRO4) and 6 (DRO5) were novel. With the LOD threshold reduced to 3.0, several minor QTLs for RGA were also detected in each population. CONCLUSION: Natural variation in RGA in rice cultivars carrying functional DRO1 alleles may be controlled by a few major QTLs and by several additional minor QTLs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12284-015-0049-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-43852642015-04-05 QTLs underlying natural variation of root growth angle among rice cultivars with the same functional allele of DEEPER ROOTING 1 Kitomi, Yuka Kanno, Noriko Kawai, Sawako Mizubayashi, Tatsumi Fukuoka, Shuichi Uga, Yusaku Rice (N Y) Research BACKGROUND: The functional allele of the rice gene DEEPER ROOTING 1 (DRO1) increases the root growth angle (RGA). However, wide natural variation in RGA is observed among rice cultivars with the functional DRO1 allele. To elucidate genetic factors related to such variation, we quantitatively measured RGA using the basket method and analyzed quantitative trait loci (QTLs) for RGA in three F(2) mapping populations derived from crosses between the large RGA–type cultivar Kinandang Patong and each of three accessions with varying RGA: Momiroman has small RGA and was used to produce the MoK-F2 population; Yumeaoba has intermediate RGA (YuK-F2 population); Tachisugata has large RGA (TaK-F2 population). All four accessions belong to the same haplotype group of functional DRO1 allele. RESULTS: We detected the following statistically significant QTLs: one QTL on chromosome 4 in MoK-F2, three QTLs on chromosomes 2, 4, and 6 in YuK-F2, and one QTL on chromosome 2 in TaK-F2. Among them, the two QTLs on chromosome 4 were located near DRO2, which has been previously reported as a major QTL for RGA, whereas the two major QTLs for RGA on chromosomes 2 (DRO4) and 6 (DRO5) were novel. With the LOD threshold reduced to 3.0, several minor QTLs for RGA were also detected in each population. CONCLUSION: Natural variation in RGA in rice cultivars carrying functional DRO1 alleles may be controlled by a few major QTLs and by several additional minor QTLs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12284-015-0049-2) contains supplementary material, which is available to authorized users. Springer US 2015-03-21 /pmc/articles/PMC4385264/ /pubmed/25844121 http://dx.doi.org/10.1186/s12284-015-0049-2 Text en © Kitomi et al.; licensee Springer. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research
Kitomi, Yuka
Kanno, Noriko
Kawai, Sawako
Mizubayashi, Tatsumi
Fukuoka, Shuichi
Uga, Yusaku
QTLs underlying natural variation of root growth angle among rice cultivars with the same functional allele of DEEPER ROOTING 1
title QTLs underlying natural variation of root growth angle among rice cultivars with the same functional allele of DEEPER ROOTING 1
title_full QTLs underlying natural variation of root growth angle among rice cultivars with the same functional allele of DEEPER ROOTING 1
title_fullStr QTLs underlying natural variation of root growth angle among rice cultivars with the same functional allele of DEEPER ROOTING 1
title_full_unstemmed QTLs underlying natural variation of root growth angle among rice cultivars with the same functional allele of DEEPER ROOTING 1
title_short QTLs underlying natural variation of root growth angle among rice cultivars with the same functional allele of DEEPER ROOTING 1
title_sort qtls underlying natural variation of root growth angle among rice cultivars with the same functional allele of deeper rooting 1
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4385264/
https://www.ncbi.nlm.nih.gov/pubmed/25844121
http://dx.doi.org/10.1186/s12284-015-0049-2
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