English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Candidate genes involved in biosynthesis and degradation of the main extracellular matrix polysaccharides of brown algae and their probable evolutionary history

Mazéas, L., Bouguerba-Collin, A., Cock, J., Denoeud, F., Godfroy, O., Brillet-Guéguen, L., et al. (2024). Candidate genes involved in biosynthesis and degradation of the main extracellular matrix polysaccharides of brown algae and their probable evolutionary history. BMC Genomics, 25(1): 950. doi:10.1186/s12864-024-10811-3.

Item is

Files

show Files

Locators

show

Creators

hide
 Creators:
Mazéas, L, Author
Bouguerba-Collin, A, Author
Cock, JM, Author
Denoeud, F, Author
Godfroy, O, Author
Brillet-Guéguen , L, Author
Barbeyron, T, Author
Lipinska, AP1, 2, Author           
Delage, L, Author
Corre, E, Author
Drula, E, Author
Henrissat, B, Author
Czjzek, M, Author
Terrapon, N, Author
Hervé, C, Author
Affiliations:
1Reproductive Isolation and Speciation in Brown Algae Group, Department Algal Development and Evolution, Max Planck Institute for Biology Tübingen, Max Planck Society, ou_3487208              
2Department Algal Development and Evolution, Max Planck Institute for Biology Tübingen, Max Planck Society, Max-Planck-Ring 5, 72076 Tübingen, DE, ou_3371686              

Content

hide
Free keywords: -
 Abstract: Background: Brown algae belong to the Stramenopiles phylum and are phylogenetically distant from plants and other multicellular organisms. This independent evolutionary history has shaped brown algae with numerous metabolic characteristics specific to this group, including the synthesis of peculiar polysaccharides contained in their extracellular matrix (ECM). Alginates and fucose-containing sulphated polysaccharides (FCSPs), the latter including fucans, are the main components of ECMs. However, the metabolic pathways of these polysaccharides remain poorly described due to a lack of genomic data.
Results: An extensive genomic dataset has been recently released for brown algae and their close sister species, for which we previously performed an expert annotation of key genes involved in ECM-carbohydrate metabolisms. Here we provide a deeper analysis of this set of genes using comparative genomics, phylogenetics analyses, and protein modelling. Two key gene families involved in both the synthesis and degradation of alginate were suggested to have been acquired by the common ancestor of brown algae and their closest sister species Schizocladia ischiensis. Our analysis indicates that this assumption can be extended to additional metabolic steps, and thus to the whole alginate metabolic pathway. The pathway for the biosynthesis of fucans still remains biochemically unresolved and we also investigate putative fucosyltransferase genes that may harbour a fucan synthase activity in brown algae.
Conclusions: Our analysis is the first extensive survey of carbohydrate-related enzymes in brown algae, and provides a valuable resource for future research into the glycome and ECM of brown algae. The expansion of specific families related to alginate metabolism may have represented an important prerequisite for the evolution of developmental complexity in brown algae. Our analysis questions the possible occurrence of FCSPs outside brown algae, notably within their closest sister taxon and in other Stramenopiles such as diatoms. Filling this knowledge gap in the future will help determine the origin and evolutionary history of fucan synthesis in eukaryotes.

Details

hide
Language(s):
 Dates: 2024-10
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1186/s12864-024-10811-3
PMID: 39390408
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

hide
Title: BMC Genomics
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: BioMed Central
Pages: 19 Volume / Issue: 25 (1) Sequence Number: 950 Start / End Page: - Identifier: ISSN: 1471-2164
CoNE: https://pure.mpg.de/cone/journals/resource/111000136905010