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Bivariate genomic analysis identifies a hidden locus associated with bacteria hypersensitive response in Arabidopsis thaliana
Shenzhen Univ, Coll Optoelect Engn, Coll Life Sci & Oceanog,Minist Educ & Guangdong P, Res Ctr Precis Med,Key Lab Optoelect Devices & Sy, Shenzhen, Peoples R China.;Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden..
Shenzhen Univ, Affiliated Hosp 1, Shenzhen Peoples Hosp 2, Shenzhen, Peoples R China..
Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden..
Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden.;Sun Yat Sen Univ, Sch Life Sci, State Key Lab Biocontrol, Guangzhou, Guangdong, Peoples R China..
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2017 (English)In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 7, 45281Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
NATURE PUBLISHING GROUP , 2017. Vol. 7, 45281
National Category
Microbiology in the medical area
Identifiers
URN: urn:nbn:se:uu:diva-320198DOI: 10.1038/srep45281ISI: 000397294200001PubMedID: 28338080OAI: oai:DiVA.org:uu-320198DiVA: diva2:1089050
Funder
Swedish Research Council, 537-2014-371The Swedish Foundation for International Cooperation in Research and Higher Education (STINT), IB2015-6000
Available from: 2017-04-18 Created: 2017-04-18 Last updated: 2017-04-18Bibliographically approved

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