bioRxivPlant Biology
Phosphate transporter PHT1;1 as a key determinant of phosphorus acquisition in Arabidopsis natural accessions
P.-S. Chien, Y.-T. Chao, C.-H. Chou, Y.-Y. Hsu, S.-F. Chiang, C.-W. Tung, T.-J. Chiou
Abstract
To understand the genetic basis in governing phosphorus (P) acquisition, we performed genome-wide association studies (GWAS) on a diversity panel of Arabidopsis thaliana by two primary determinants of P acquisition, phosphate (Pi)-uptake activity and PHOSPHATE TRANSPORTER 1 (PHT1) protein abundance. Association mapping revealed a shared significant peak on chromosome 5 (Chr5) where the PHT1;1/2/3 genes reside, suggesting a strong correlation between the regulation of Pi-uptake activity and PHT1 protein abundance. Genes encoding transcription factors, kinases, and a metalloprotease associated with both traits were also identified. Conditional GWAS followed by statistical analysis of genotype-dependent expression of PHT1;1 and transcription activity assays revealed an epistatic interaction between PHT1;1 and MYB DOMAIN PROTEIN 52 (MYB52) on Chr1. Analyses of F1 hybrids generated by crossing two subgroups of natural accessions carrying specific SNPs associated with PHT1;1 and MYB52 further revealed the strong effects of potential variants on PHT1;1 expression and Pi uptake activity. Notably, the soil P contents in A. thaliana habitats were found to coincide with PHT1;1 haplotype, underscoring how fine-tuning of the activity of P acquisition by natural variants allows plants to adapt to their environments. This study sheds light on the complex regulation of P acquisition and offers a framework to systematically assess the effectiveness of GWAS approaches in the study of quantitative traits. One sentence summaryStepwise GWAS analyses reveal insights into the genetic basis in regulating phosphorus acquisition and associations between the phosphate transporter PHT1;1 haplotype and Arabidopsis habitats.
- organism: Arabidopsis
- assay: DNA methylation
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- research focus: GWAS / association mapping
- approach: statistical model
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