Candidate defense genes as predictors of quantitative blast resistance in rice

Although quantitative trait loci (QTL) underpin many desirable agronomic traits, their incorporation into crop plants through marker-assisted selection is limited by the low predictive value of markers on phenotypic performance. Here we used candidate defense response (DR) genes to dissect quantitat...

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Main Authors: Liu, Bin, Zhang, Shaohong, Zhu, Xiaoyuan, Yang, Qiyun, Wu, Shangzhong, Mei, Mantong, Mauleon, Ramil, Leach, Jan, Mew, Tom, Leung, Hei
Format: Journal Article
Language:Inglés
Published: Scientific Societies 2004
Subjects:
Online Access:https://hdl.handle.net/10568/166778
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author Liu, Bin
Zhang, Shaohong
Zhu, Xiaoyuan
Yang, Qiyun
Wu, Shangzhong
Mei, Mantong
Mauleon, Ramil
Leach, Jan
Mew, Tom
Leung, Hei
author_browse Leach, Jan
Leung, Hei
Liu, Bin
Mauleon, Ramil
Mei, Mantong
Mew, Tom
Wu, Shangzhong
Yang, Qiyun
Zhang, Shaohong
Zhu, Xiaoyuan
author_facet Liu, Bin
Zhang, Shaohong
Zhu, Xiaoyuan
Yang, Qiyun
Wu, Shangzhong
Mei, Mantong
Mauleon, Ramil
Leach, Jan
Mew, Tom
Leung, Hei
author_sort Liu, Bin
collection Repository of Agricultural Research Outputs (CGSpace)
description Although quantitative trait loci (QTL) underpin many desirable agronomic traits, their incorporation into crop plants through marker-assisted selection is limited by the low predictive value of markers on phenotypic performance. Here we used candidate defense response (DR) genes to dissect quantitative resistance in rice using recombinant inbred (RI) and advanced backcross (BC) populations derived from a blast-resistant cultivar, Sanhuangzhan 2 (SHZ-2). Based on DNA profiles of DR genes, RI lines were clustered into two groups corresponding to level of resistance. Five DR genes, encoding putative oxalate oxidase, dehydrin, PR-1, chitinase, and 14-3-3 protein, accounted for 30.0, 23.0, 15.8, 6.7, and 5.5% of diseased leaf area (DLA) variation, respectively. Together, they accounted for 60.3% of the DLA variation and co-localized with resistance QTL identified by interval mapping. Average phenotypic contributions of oxalate oxidase, dehydrin, PR-1, chitinase, and 14-3-3 protein in BC lines were 26.1, 19.0, 18.0, 11.5, and 10.6%, respectively, across environments. Advanced BC lines with four to five effective DR genes showed enhanced resistance under high disease pressure in field tests. Our results demonstrate that the use of natural variation in a few candidate genes can solve a long-standing problem in rice production and has the potential to address other problems involving complex traits.
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spelling CGSpace1667782024-12-19T14:13:24Z Candidate defense genes as predictors of quantitative blast resistance in rice Liu, Bin Zhang, Shaohong Zhu, Xiaoyuan Yang, Qiyun Wu, Shangzhong Mei, Mantong Mauleon, Ramil Leach, Jan Mew, Tom Leung, Hei genes quantitative trait loci disease resistance gene mapping induced resistance cluster analysis magnaporthe grisea Although quantitative trait loci (QTL) underpin many desirable agronomic traits, their incorporation into crop plants through marker-assisted selection is limited by the low predictive value of markers on phenotypic performance. Here we used candidate defense response (DR) genes to dissect quantitative resistance in rice using recombinant inbred (RI) and advanced backcross (BC) populations derived from a blast-resistant cultivar, Sanhuangzhan 2 (SHZ-2). Based on DNA profiles of DR genes, RI lines were clustered into two groups corresponding to level of resistance. Five DR genes, encoding putative oxalate oxidase, dehydrin, PR-1, chitinase, and 14-3-3 protein, accounted for 30.0, 23.0, 15.8, 6.7, and 5.5% of diseased leaf area (DLA) variation, respectively. Together, they accounted for 60.3% of the DLA variation and co-localized with resistance QTL identified by interval mapping. Average phenotypic contributions of oxalate oxidase, dehydrin, PR-1, chitinase, and 14-3-3 protein in BC lines were 26.1, 19.0, 18.0, 11.5, and 10.6%, respectively, across environments. Advanced BC lines with four to five effective DR genes showed enhanced resistance under high disease pressure in field tests. Our results demonstrate that the use of natural variation in a few candidate genes can solve a long-standing problem in rice production and has the potential to address other problems involving complex traits. 2004-10 2024-12-19T12:56:40Z 2024-12-19T12:56:40Z Journal Article https://hdl.handle.net/10568/166778 en Scientific Societies Liu, Bin; Zhang, Shaohong; Zhu, Xiaoyuan; Yang, Qiyun; Wu, Shangzhong; Mei, Mantong; Mauleon, Ramil; Leach, Jan; Mew, Tom and Leung, Hei. 2004. Candidate defense genes as predictors of quantitative blast resistance in rice. MPMI, Volume 17 no. 10 p. 1146-1152
spellingShingle genes
quantitative trait loci
disease resistance
gene mapping
induced resistance
cluster analysis
magnaporthe grisea
Liu, Bin
Zhang, Shaohong
Zhu, Xiaoyuan
Yang, Qiyun
Wu, Shangzhong
Mei, Mantong
Mauleon, Ramil
Leach, Jan
Mew, Tom
Leung, Hei
Candidate defense genes as predictors of quantitative blast resistance in rice
title Candidate defense genes as predictors of quantitative blast resistance in rice
title_full Candidate defense genes as predictors of quantitative blast resistance in rice
title_fullStr Candidate defense genes as predictors of quantitative blast resistance in rice
title_full_unstemmed Candidate defense genes as predictors of quantitative blast resistance in rice
title_short Candidate defense genes as predictors of quantitative blast resistance in rice
title_sort candidate defense genes as predictors of quantitative blast resistance in rice
topic genes
quantitative trait loci
disease resistance
gene mapping
induced resistance
cluster analysis
magnaporthe grisea
url https://hdl.handle.net/10568/166778
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