Mapping Genetic Variation in Arabidopsis in Response to Plant Growth-Promoting Bacterium Azoarcus olearius DQS-4T

Author:

Plucani do Amaral Fernanda12,Wang Juexin34ORCID,Williams Jacob5ORCID,Tuleski Thalita R.6,Joshi Trupti37,Ferreira Marco A. R.5,Stacey Gary1

Affiliation:

1. Divisions of Plant Sciences and Technology, C. S. Bond Life Science Center, University of Missouri, Columbia, MO 65211, USA

2. Ginkgo Bioworks, Ag Biologicals, 890 Embarcadero Dr., West Sacramento, CA 95605, USA

3. Department of Electrical Engineering and Computer Science, C. S. Bond Life Science Center, University of Missouri, Columbia, MO 65211, USA

4. Departemnt of BioHealth Informatics, School of Informatics and Computing, Indiana University Purdue University Indianopolis, Indianopolis, IN 46202, USA

5. Department of Statistics, Virginia Tech, Blacksburg, VA 24060, USA

6. Department of Biochemistry and Molecular Biology, Federal University of Parana, Curitiba 19046, Brazil

7. Department of Health Management and Informatics, MU Institute for Data Science and Informatics, C. S. Bond Life Science Center, University of Missouri, Columbia, MO 65211, USA

Abstract

Plant growth-promoting bacteria (PGPB) can enhance plant health by facilitating nutrient uptake, nitrogen fixation, protection from pathogens, stress tolerance and/or boosting plant productivity. The genetic determinants that drive the plant–bacteria association remain understudied. To identify genetic loci highly correlated with traits responsive to PGPB, we performed a genome-wide association study (GWAS) using an Arabidopsis thaliana population treated with Azoarcus olearius DQS-4T. Phenotypically, the 305 Arabidopsis accessions tested responded differently to bacterial treatment by improving, inhibiting, or not affecting root system or shoot traits. GWA mapping analysis identified several predicted loci associated with primary root length or root fresh weight. Two statistical analyses were performed to narrow down potential gene candidates followed by haplotype block analysis, resulting in the identification of 11 loci associated with the responsiveness of Arabidopsis root fresh weight to bacterial inoculation. Our results showed considerable variation in the ability of plants to respond to inoculation by A. olearius DQS-4T while revealing considerable complexity regarding statistically associated loci with the growth traits measured. This investigation is a promising starting point for sustainable breeding strategies for future cropping practices that may employ beneficial microbes and/or modifications of the root microbiome.

Funder

National Science Foundation

NSF

Publisher

MDPI AG

Subject

Virology,Microbiology (medical),Microbiology

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