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Gains and losses of metabolic function inferred from a phylotranscriptomic analysis of algae
Hidden Markov models representing 167 protein sequence families were used to infer the presence or absence of homologs within the transcriptomes of 183 algal species/strains. Statistical analyses of the distribution of HMM hits across major clades of algae, or at branch points on the phylogenetic tr...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642084/ https://www.ncbi.nlm.nih.gov/pubmed/31324835 http://dx.doi.org/10.1038/s41598-019-46869-3 |
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author | Goh, Falicia Qi Yun Jeyakani, Justin Tipthara, Phornpimon Cazenave-Gassiot, Amaury Ghosh, Rajoshi Bogard, Nicholas Yeo, Zhenxuan Wong, Gane Ka-Shu Melkonian, Michael Wenk, Markus R. Clarke, Neil D. |
author_facet | Goh, Falicia Qi Yun Jeyakani, Justin Tipthara, Phornpimon Cazenave-Gassiot, Amaury Ghosh, Rajoshi Bogard, Nicholas Yeo, Zhenxuan Wong, Gane Ka-Shu Melkonian, Michael Wenk, Markus R. Clarke, Neil D. |
author_sort | Goh, Falicia Qi Yun |
collection | PubMed |
description | Hidden Markov models representing 167 protein sequence families were used to infer the presence or absence of homologs within the transcriptomes of 183 algal species/strains. Statistical analyses of the distribution of HMM hits across major clades of algae, or at branch points on the phylogenetic tree of 98 chlorophytes, confirmed and extended known cases of metabolic loss and gain, most notably the loss of the mevalonate pathway for terpenoid synthesis in green algae but not, as we show here, in the streptophyte algae. Evidence for novel events was found as well, most remarkably in the recurrent and coordinated gain or loss of enzymes for the glyoxylate shunt. We find, as well, a curious pattern of retention (or re-gain) of HMG-CoA synthase in chlorophytes that have otherwise lost the mevalonate pathway, suggesting a novel, co-opted function for this enzyme in select lineages. Finally, we find striking, phylogenetically linked distributions of coding sequences for three pathways that synthesize the major membrane lipid phosphatidylcholine, and a complementary phylogenetic distribution pattern for the non-phospholipid DGTS (diacyl-glyceryl-trimethylhomoserine). Mass spectrometric analysis of lipids from 25 species was used to validate the inference of DGTS synthesis from sequence data. |
format | Online Article Text |
id | pubmed-6642084 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66420842019-07-25 Gains and losses of metabolic function inferred from a phylotranscriptomic analysis of algae Goh, Falicia Qi Yun Jeyakani, Justin Tipthara, Phornpimon Cazenave-Gassiot, Amaury Ghosh, Rajoshi Bogard, Nicholas Yeo, Zhenxuan Wong, Gane Ka-Shu Melkonian, Michael Wenk, Markus R. Clarke, Neil D. Sci Rep Article Hidden Markov models representing 167 protein sequence families were used to infer the presence or absence of homologs within the transcriptomes of 183 algal species/strains. Statistical analyses of the distribution of HMM hits across major clades of algae, or at branch points on the phylogenetic tree of 98 chlorophytes, confirmed and extended known cases of metabolic loss and gain, most notably the loss of the mevalonate pathway for terpenoid synthesis in green algae but not, as we show here, in the streptophyte algae. Evidence for novel events was found as well, most remarkably in the recurrent and coordinated gain or loss of enzymes for the glyoxylate shunt. We find, as well, a curious pattern of retention (or re-gain) of HMG-CoA synthase in chlorophytes that have otherwise lost the mevalonate pathway, suggesting a novel, co-opted function for this enzyme in select lineages. Finally, we find striking, phylogenetically linked distributions of coding sequences for three pathways that synthesize the major membrane lipid phosphatidylcholine, and a complementary phylogenetic distribution pattern for the non-phospholipid DGTS (diacyl-glyceryl-trimethylhomoserine). Mass spectrometric analysis of lipids from 25 species was used to validate the inference of DGTS synthesis from sequence data. Nature Publishing Group UK 2019-07-19 /pmc/articles/PMC6642084/ /pubmed/31324835 http://dx.doi.org/10.1038/s41598-019-46869-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Goh, Falicia Qi Yun Jeyakani, Justin Tipthara, Phornpimon Cazenave-Gassiot, Amaury Ghosh, Rajoshi Bogard, Nicholas Yeo, Zhenxuan Wong, Gane Ka-Shu Melkonian, Michael Wenk, Markus R. Clarke, Neil D. Gains and losses of metabolic function inferred from a phylotranscriptomic analysis of algae |
title | Gains and losses of metabolic function inferred from a phylotranscriptomic analysis of algae |
title_full | Gains and losses of metabolic function inferred from a phylotranscriptomic analysis of algae |
title_fullStr | Gains and losses of metabolic function inferred from a phylotranscriptomic analysis of algae |
title_full_unstemmed | Gains and losses of metabolic function inferred from a phylotranscriptomic analysis of algae |
title_short | Gains and losses of metabolic function inferred from a phylotranscriptomic analysis of algae |
title_sort | gains and losses of metabolic function inferred from a phylotranscriptomic analysis of algae |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642084/ https://www.ncbi.nlm.nih.gov/pubmed/31324835 http://dx.doi.org/10.1038/s41598-019-46869-3 |
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