Genome-wide analysis of purple acid phosphatase structure and expression in ten vegetable species

• Main Authors: Lulu Xie, Qingmao Shang
• Format: Article
• Language: English
• Published: BMC 2018-08-01
• Series: BMC Genomics
• Subjects: Phosphorous; PAP enzymes; Protein structure; Gene expression; Phosphate use efficiency
• Online Access: http://link.springer.com/article/10.1186/s12864-018-5022-1

Abstract Background Acquisition of external phosphorus (P) and optimisation of internal P are essential for plant growth and development, and insufficient availability of P in soils is a major challenge in agriculture. Members of the purple acid phosphatase (PAP) family of enzymes are candidates for increasing P use efficiency. Herein, we identified PAP homologs in the genomes of 10 vegetable species, along with Arabidopsis thaliana and Amborella trichopoda as references, to provide fundamental knowledge for this family. Results Phylogenetic analysis of protein sequences revealed nine distinct clades, indicating that functional differentiation of extant PAPs was established prior to the emergence of early angiosperms, and conserved among homologs in each clade. Analysis of transcript abundance in different tissues (root, stem, leaf, flower, and fruit) and following phosphates (Pi) starvation treatments from published RNA-seq transcriptome datasets facilitated comprehensive evaluation of expression patterns, and some groups of tissue-specific and Pi starvation-induced PAPs were characterised. Conserved motifs identified from upstream sequences of homologs that are highly expressed in particular tissues or following starvation treatment suggests that divergence in PAP gene expression is associated with cis-acting elements in promoters. Conclusions The genome-wide analysis of PAP enzyme structure and transcriptional expression patterns advance our understanding of PAP family in vegetables genomes. Therefore, PAP homologs with known enzyme structures and expression profiles could serve as targets for plant breeding and/or genetic engineering programs to improve P acquisition and use.