期刊
FRONTIERS IN AGRONOMY
卷 3, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fagro.2021.667339
关键词
plant solubilizing microbes; pyrroloquinoline quinine; phylogeny; codon usage bias; correspondence analysis
类别
Phosphate-solubilizing microbes convert insoluble phosphate into soluble form by releasing gluconic acid, and phylogenetic analysis of PqqA-PqqE proteins shows clear clustering in selected species according to their respective genera, with higher GC content observed in nucleotide composition of encoding genes at different codon positions.
Plants cannot uptake the insoluble form of phosphate from soil. Phosphate-solubilizing microbes (PSMs) release gluconic acid (C6H12O7) that is synthesized by the interaction between co-factor pyrroloquinoline quinine (PQQ) and glucose dehydrogenase within themselves and hence convert the insoluble phosphate into a soluble form. Phylogenetic analyses based on individual sequences of PqqA-PqqE proteins involved in the PQQ biosynthetic pathway manifested clear clustering formation of the selected species according to their respective genera such as Pantoea, Rouxiella, Rahnella, Kosakonia, Mixta, Cronobacter, and Serratia. In multiple sequence alignment (MSA), numerous semi-conserved sites were identified that indicate acquired mutation during evolution. The selected pqq genes that appeared within an operon system sustain a specified order viz. pqqABCDE for both positive and negative strands. The nucleotide composition of the encoding genes displayed higher content of GCs at different positions of the codons and has also been properly reflected in relative synonymous codon usage (RSCU) values of the codons with few exceptions. The correspondence analysis (COA) based on RSCU proclaimed that the pqqB genes prefer A/U-ending codons over G/C, while for the pqqE gene, G/C-ending codons are comparatively more preferable (except CGU). Mutational pressure contributes to shaping the codon usage pattern for the selected pqq genes evinced from the COAs, while the ENc and neutrality plot gives attestation of natural selection. The higher values of CAI indicate the gene adaptability and codon usage bias. These comprehensive computational studies can be beneficial for further research in molecular phylogenetics, genomics, and proteomics and to better understand the evolutionary dynamics of PQQ.
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