Bivariate genomic analysis identifies a hidden locus associated with bacteria hypersensitive response in Arabidopsis thaliana. Wang, B., Li, Z., Xu, W., Feng, X., Wan, Q., Zan, Y., Sheng, S., & Shen, X. Scientific Reports, 7(1):45281, Nature Publishing Group, March, 2017.
Paper doi abstract bibtex Multi-phenotype analysis has drawn increasing attention to high-throughput genomic studies, whereas only a few applications have justified the use of multivariate techniques. We applied a recently developed multi-trait analysis method on a small set of bacteria hypersensitive response phenotypes and identified a single novel locus missed by conventional single-trait genome-wide association studies. The detected locus harbors a minor allele that elevates the risk of leaf collapse response to the injection of avrRpm1-modified Pseudomonas syringae (P = 1.66e-08). Candidate gene AT3G32930 with in the detected region and its co-expressed genes showed significantly reduced expression after P. syringae interference. Our results again emphasize that multi-trait analysis should not be neglected in association studies, as the power of specific multi-trait genotype-phenotype maps might only be tractable when jointly considering multiple phenotypes.
@article{wang_bivariate_2017,
title = {Bivariate genomic analysis identifies a hidden locus associated with bacteria hypersensitive response in {Arabidopsis} thaliana},
volume = {7},
copyright = {2017 The Author(s)},
issn = {2045-2322},
url = {https://www.nature.com/articles/srep45281},
doi = {10.1038/srep45281},
abstract = {Multi-phenotype analysis has drawn increasing attention to high-throughput genomic studies, whereas only a few applications have justified the use of multivariate techniques. We applied a recently developed multi-trait analysis method on a small set of bacteria hypersensitive response phenotypes and identified a single novel locus missed by conventional single-trait genome-wide association studies. The detected locus harbors a minor allele that elevates the risk of leaf collapse response to the injection of avrRpm1-modified Pseudomonas syringae (P = 1.66e-08). Candidate gene AT3G32930 with in the detected region and its co-expressed genes showed significantly reduced expression after P. syringae interference. Our results again emphasize that multi-trait analysis should not be neglected in association studies, as the power of specific multi-trait genotype-phenotype maps might only be tractable when jointly considering multiple phenotypes.},
language = {en},
number = {1},
urldate = {2026-05-19},
journal = {Scientific Reports},
publisher = {Nature Publishing Group},
author = {Wang, Biao and Li, Zhuocheng and Xu, Weilin and Feng, Xiao and Wan, Qianhui and Zan, Yanjun and Sheng, Sitong and Shen, Xia},
month = mar,
year = {2017},
keywords = {Plant genetics, Quantitative trait},
pages = {45281},
}
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We applied a recently developed multi-trait analysis method on a small set of bacteria hypersensitive response phenotypes and identified a single novel locus missed by conventional single-trait genome-wide association studies. The detected locus harbors a minor allele that elevates the risk of leaf collapse response to the injection of avrRpm1-modified Pseudomonas syringae (P = 1.66e-08). Candidate gene AT3G32930 with in the detected region and its co-expressed genes showed significantly reduced expression after P. syringae interference. 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