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Phylogenetic analysis and structural prediction reveal the potential functional diversity between green algae SWEET transporters

Sugar-Will-Eventually-be-Exported-Transporters (SWEETs) are an important family of sugar transporters that appear to be ubiquitous in all organisms. Recent research has determined the structure of SWEETs in higher plants, identified specific residues required for monosaccharide or disaccharide trans...

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Autores principales: Fleet, Jack, Ansari, Mujtaba, Pittman, Jon K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520054/
https://www.ncbi.nlm.nih.gov/pubmed/36186040
http://dx.doi.org/10.3389/fpls.2022.960133
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author Fleet, Jack
Ansari, Mujtaba
Pittman, Jon K.
author_facet Fleet, Jack
Ansari, Mujtaba
Pittman, Jon K.
author_sort Fleet, Jack
collection PubMed
description Sugar-Will-Eventually-be-Exported-Transporters (SWEETs) are an important family of sugar transporters that appear to be ubiquitous in all organisms. Recent research has determined the structure of SWEETs in higher plants, identified specific residues required for monosaccharide or disaccharide transport, and begun to understand the specific functions of individual plant SWEET proteins. However, in green algae (Chlorophyta) these transporters are poorly characterised. This study identified SWEET proteins from across representative Chlorophyta with the aim to characterise their phylogenetic relationships and perform protein structure modelling in order to inform functional prediction. The algal genomes analysed encoded between one and six SWEET proteins, which is much less than a typical higher plant. Phylogenetic analysis identified distinct clusters of over 70 SWEET protein sequences, taken from almost 30 algal genomes. These clusters remain separate from representative higher or non-vascular plant SWEETs, but are close to fungi SWEETs. Subcellular localisation predictions and analysis of conserved amino acid residues revealed variation between SWEET proteins of different clusters, suggesting different functionality. These findings also showed conservation of key residues at the substrate-binding site, indicating a similar mechanism of substrate selectivity and transport to previously characterised higher plant monosaccharide-transporting SWEET proteins. Future work is now required to confirm the predicted sugar transport specificity and determine the functional role of these algal SWEET proteins.
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spelling pubmed-95200542022-09-30 Phylogenetic analysis and structural prediction reveal the potential functional diversity between green algae SWEET transporters Fleet, Jack Ansari, Mujtaba Pittman, Jon K. Front Plant Sci Plant Science Sugar-Will-Eventually-be-Exported-Transporters (SWEETs) are an important family of sugar transporters that appear to be ubiquitous in all organisms. Recent research has determined the structure of SWEETs in higher plants, identified specific residues required for monosaccharide or disaccharide transport, and begun to understand the specific functions of individual plant SWEET proteins. However, in green algae (Chlorophyta) these transporters are poorly characterised. This study identified SWEET proteins from across representative Chlorophyta with the aim to characterise their phylogenetic relationships and perform protein structure modelling in order to inform functional prediction. The algal genomes analysed encoded between one and six SWEET proteins, which is much less than a typical higher plant. Phylogenetic analysis identified distinct clusters of over 70 SWEET protein sequences, taken from almost 30 algal genomes. These clusters remain separate from representative higher or non-vascular plant SWEETs, but are close to fungi SWEETs. Subcellular localisation predictions and analysis of conserved amino acid residues revealed variation between SWEET proteins of different clusters, suggesting different functionality. These findings also showed conservation of key residues at the substrate-binding site, indicating a similar mechanism of substrate selectivity and transport to previously characterised higher plant monosaccharide-transporting SWEET proteins. Future work is now required to confirm the predicted sugar transport specificity and determine the functional role of these algal SWEET proteins. Frontiers Media S.A. 2022-09-15 /pmc/articles/PMC9520054/ /pubmed/36186040 http://dx.doi.org/10.3389/fpls.2022.960133 Text en Copyright © 2022 Fleet, Ansari and Pittman. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Fleet, Jack
Ansari, Mujtaba
Pittman, Jon K.
Phylogenetic analysis and structural prediction reveal the potential functional diversity between green algae SWEET transporters
title Phylogenetic analysis and structural prediction reveal the potential functional diversity between green algae SWEET transporters
title_full Phylogenetic analysis and structural prediction reveal the potential functional diversity between green algae SWEET transporters
title_fullStr Phylogenetic analysis and structural prediction reveal the potential functional diversity between green algae SWEET transporters
title_full_unstemmed Phylogenetic analysis and structural prediction reveal the potential functional diversity between green algae SWEET transporters
title_short Phylogenetic analysis and structural prediction reveal the potential functional diversity between green algae SWEET transporters
title_sort phylogenetic analysis and structural prediction reveal the potential functional diversity between green algae sweet transporters
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520054/
https://www.ncbi.nlm.nih.gov/pubmed/36186040
http://dx.doi.org/10.3389/fpls.2022.960133
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