| Literature DB >> 32398310 |
Rosana Alves1,2, Maria Sousa-Silva1,2, Daniel Vieira1,2, Pedro Soares1,2, Yasmin Chebaro3, Michael C Lorenz4, Margarida Casal1,2, Isabel Soares-Silva1,2, Sandra Paiva5,2.
Abstract
Opportunistic pathogens such as Candida species can use carboxylic acids, like acetate and lactate, to survive and successfully thrive in different environmental niches. These nonfermentable substrates are frequently the major carbon sources present in certain human body sites, and their efficient uptake by regulated plasma membrane transporters plays a critical role in such nutrient-limited conditions. Here, we cover the physiology and regulation of these proteins and their potential role in Candida virulence. This review also presents an evolutionary analysis of orthologues of the Saccharomyces cerevisiae Jen1 lactate and Ady2 acetate transporters, including a phylogenetic analysis of 101 putative carboxylate transporters in twelve medically relevant Candida species. These proteins are assigned to distinct clades according to their amino acid sequence homology and represent the major carboxylic acid uptake systems in yeast. While Jen transporters belong to the sialate:H+ symporter (SHS) family, the Ady2 homologue members are assigned to the acetate uptake transporter (AceTr) family. Here, we reclassify the later members as ATO (acetate transporter ortholog). The new nomenclature will facilitate the study of these transporters, as well as the analysis of their relevance for Candida pathogenesis.Entities:
Keywords: Candida species; acetate; candidiasis; carboxylate transporters; lactate
Mesh:
Substances:
Year: 2020 PMID: 32398310 PMCID: PMC7218280 DOI: 10.1128/mBio.00156-20
Source DB: PubMed Journal: mBio Impact factor: 7.867
FIG 1Evolutionary relationship between Candida species and other yeasts. Phylogenetic reconstruction was performed using maximum likelihood in IQ-TREE (73), the JTT (Jones-Taylor-Thornton) model of amino acid evolution, and four gamma-distributed rates. Phylogeny was based on a total of 1,567 concatenated proteins within the proteome of the different species. BLAST searches were performed comparing the proteome (obtained in NCBI) of the selected species in order to detect those conserved proteins across a total of 77 fungal species. These proteins are essential proteins beyond the specific biology of the different yeasts offering a clear high-resolution evolutionary view between the different species. All obtained bootstrap values showed 100% in confidence. Candida species relevant for this study are highlighted with different colors. Branches that were not relevant were collapsed with the representative genus indicated.
FIG 2Evolutionary analysis of S. cerevisiae Jen homologues in Candida species. (A) A multiple alignment with the 36 ScJen1 homologues found in Candida species was performed using MAFFT v.7 (74) and checked manually for incongruences. The alignments were then used in the phylogenetic reconstruction. A maximum-likelihood approach, suitable for deep evolution, was conducted in MEGA7 (75) using the JTT model of amino acid evolution, four gamma-distributed rates, and a site coverage cutoff of 90%. A total of 250 replications were performed for the bootstrap analysis. Names of the homologues are colored according to the species where they were detected. Output trees were edited in FigTree v.1.4.4. (http://tree.bio.ed.ac.uk/software/figtree/). (B) Conservation logo of the alignment that displayed residues in 90% of the sequences using WebLogo (https://weblogo.berkeley.edu). Transmembrane segments (TMSs) predicted with TMHMM 2.0 (http://www.cbs.dtu.dk/services/TMHMM/) are highlighted as brown bars in the logo, and black arrows indicate amino acids belonging to previously identified functional domains (32, 33).
FIG 3Evolutionary analysis of S. cerevisiae Ato homologues in Candida species. (A) A multiple alignment with the 65 ScAto1 homologues found in Candida species was performed using MAFFT v.7 (74) and checked manually for incongruences. The alignments were then used in the phylogenetic reconstruction. A maximum-likelihood approach, suitable for deep evolution, was conducted in MEGA7 (75) using the JTT model of amino acid evolution, four gamma-distributed rates, and a site coverage cutoff of 90%. A total of 250 replications were performed for the bootstrap analysis. Names of the homologues are colored according to the species where they were detected. Output trees were edited in FigTree v.1.4.4. (http://tree.bio.ed.ac.uk/software/figtree/). (B) Conservation logo of the alignment that displayed residues in 90% of the sequences using WebLogo (https://weblogo.berkeley.edu). Transmembrane segments (TMSs) predicted with TMHMM 2.0 (http://www.cbs.dtu.dk/services/TMHMM/) are highlighted as brown bars in the logo and arrows indicate amino acids belonging to previously identified functional domains (19).