GWAS identifies candidate genes controlling adventitious rooting in Populus trichocarpa

Author:

Nagle Michael F1ORCID,Yuan Jialin2ORCID,Kaur Damanpreet2ORCID,Ma Cathleen1ORCID,Peremyslova Ekaterina1ORCID,Jiang Yuan3ORCID,Zahl Bahiya1ORCID,Niño de Rivera Alexa1ORCID,Muchero Wellington456ORCID,Fuxin Li2ORCID,Strauss Steven H1ORCID

Affiliation:

1. Oregon State University Department of Forest Ecosystems and Society, , 3180 SW Jefferson Way, Corvallis, OR, 97331, United States

2. Oregon State University Department of Electrical Engineering and Computer Science, , 110 SW Park Terrace, Corvallis, OR, 97331, United States

3. Oregon State University Statistics Department, , 103 SW Memorial Place, Corvallis, OR, 97331, United States

4. Oak Ridge National Laboratory Biosciences Division, , 1 Bethel Valley Rd, Oak Ridge, TN, 37830, United States

5. Oak Ridge National Laboratory Center for Bioenergy Innovation, , 1 Bethel Valley Rd, Oak Ridge, TN, 37830, United States

6. University of Tennessee Bredesen Center for Interdisciplinary Research, , 821 Volunteer Blvd., Knoxville, TN, 37996, United States

Abstract

Abstract Adventitious rooting (AR) is critical to the propagation, breeding, and genetic engineering of trees. The capacity for plants to undergo this process is highly heritable and of a polygenic nature; however, the basis of its genetic variation is largely uncharacterized. To identify genetic regulators of AR, we performed a genome-wide association study (GWAS) using 1148 genotypes of Populus trichocarpa. GWASs are often limited by the abilities of researchers to collect precise phenotype data on a high-throughput scale; to help overcome this limitation, we developed a computer vision system to measure an array of traits related to adventitious root development in poplar, including temporal measures of lateral and basal root length and area. GWAS was performed using multiple methods and significance thresholds to handle non-normal phenotype statistics and to gain statistical power. These analyses yielded a total of 277 unique associations, suggesting that genes that control rooting include regulators of hormone signaling, cell division and structure, reactive oxygen species signaling, and other processes with known roles in root development. Numerous genes with uncharacterized functions and/or cryptic roles were also identified. These candidates provide targets for functional analysis, including physiological and epistatic analyses, to better characterize the complex polygenic regulation of AR.

Publisher

Oxford University Press (OUP)

Subject

Horticulture,Plant Science,Genetics,Biochemistry,Biotechnology

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