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Puginier C, Libourel C, Otte J, Skaloud P, Haon M, Grisel S, Petersen M, Berrin JG, Delaux PM, Dal Grande F, Keller J. Phylogenomics reveals the evolutionary origins of lichenization in chlorophyte algae. Nat Commun 2024; 15:4452. [PMID: 38789482 PMCID: PMC11126685 DOI: 10.1038/s41467-024-48787-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 05/10/2024] [Indexed: 05/26/2024] Open
Abstract
Mutualistic symbioses have contributed to major transitions in the evolution of life. Here, we investigate the evolutionary history and the molecular innovations at the origin of lichens, which are a symbiosis established between fungi and green algae or cyanobacteria. We de novo sequence the genomes or transcriptomes of 12 lichen algal symbiont (LAS) and closely related non-symbiotic algae (NSA) to improve the genomic coverage of Chlorophyte algae. We then perform ancestral state reconstruction and comparative phylogenomics. We identify at least three independent gains of the ability to engage in the lichen symbiosis, one in Trebouxiophyceae and two in Ulvophyceae, confirming the convergent evolution of the lichen symbioses. A carbohydrate-active enzyme from the glycoside hydrolase 8 (GH8) family was identified as a top candidate for the molecular-mechanism underlying lichen symbiosis in Trebouxiophyceae. This GH8 was acquired in lichenizing Trebouxiophyceae by horizontal gene transfer, concomitantly with the ability to associate with lichens fungal symbionts (LFS) and is able to degrade polysaccharides found in the cell wall of LFS. These findings indicate that a combination of gene family expansion and horizontal gene transfer provided the basis for lichenization to evolve in chlorophyte algae.
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Affiliation(s)
- Camille Puginier
- Laboratoire de Recherche en Sciences Végétales (LRSV), Université de Toulouse, CNRS, UPS, INP, Toulouse, 31320, Castanet-Tolosan, France
| | - Cyril Libourel
- Laboratoire de Recherche en Sciences Végétales (LRSV), Université de Toulouse, CNRS, UPS, INP, Toulouse, 31320, Castanet-Tolosan, France
| | - Juergen Otte
- Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, 60325, Frankfurt am Main, Germany
| | - Pavel Skaloud
- Department of Botany, Faculty of Science, Charles University, Benátská 2, CZ-12800, Praha 2, Czech Republic
| | - Mireille Haon
- INRAE, Aix Marseille Université, UMR1163 Biodiversité et Biotechnologie Fongiques (BBF), 13009, Marseille, France
- INRAE, Aix Marseille Université, 3PE Platform, 13009, Marseille, France
| | - Sacha Grisel
- INRAE, Aix Marseille Université, UMR1163 Biodiversité et Biotechnologie Fongiques (BBF), 13009, Marseille, France
- INRAE, Aix Marseille Université, 3PE Platform, 13009, Marseille, France
| | - Malte Petersen
- High Performance Computing & Analytics Lab, University of Bonn, Friedrich-Hirzebruch-Allee 8, 53115, Bonn, Germany
| | - Jean-Guy Berrin
- INRAE, Aix Marseille Université, UMR1163 Biodiversité et Biotechnologie Fongiques (BBF), 13009, Marseille, France
- INRAE, Aix Marseille Université, 3PE Platform, 13009, Marseille, France
| | - Pierre-Marc Delaux
- Laboratoire de Recherche en Sciences Végétales (LRSV), Université de Toulouse, CNRS, UPS, INP, Toulouse, 31320, Castanet-Tolosan, France.
| | - Francesco Dal Grande
- Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, 60325, Frankfurt am Main, Germany.
- LOEWE Centre for Translational Biodiversity Genomics (TBG), Senckenberganlage 25, 60325, Frankfurt am Main, Germany.
- Department of Biology, University of Padova, Padua, Italy.
| | - Jean Keller
- Laboratoire de Recherche en Sciences Végétales (LRSV), Université de Toulouse, CNRS, UPS, INP, Toulouse, 31320, Castanet-Tolosan, France.
- Department of Insect Symbiosis, Max Planck Institute for Chemical Ecology, 07745, Jena, Germany.
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Reji L, Darnajoux R, Zhang X. A genomic view of environmental and life history controls on microbial nitrogen acquisition strategies. ENVIRONMENTAL MICROBIOLOGY REPORTS 2024; 16:e13220. [PMID: 38057292 PMCID: PMC10866080 DOI: 10.1111/1758-2229.13220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 11/15/2023] [Indexed: 12/08/2023]
Abstract
Microorganisms have evolved diverse strategies to acquire the vital element nitrogen (N) from the environment. Ecological and physiological controls on the distribution of these strategies among microbes remain unclear. In this study, we examine the distribution of 10 major N acquisition strategies in taxonomically and metabolically diverse microbial genomes, including those from the Genomic Catalogue of Earth's Microbiomes dataset. We utilize a marker gene-based approach to assess relationships between N acquisition strategy prevalence and microbial life history strategies. Our results underscore energetic costs of assimilation as a broad control on strategy distribution. The most prevalent strategies are the uptake of ammonium and simple amino acids, which have relatively low energetic costs, while energy-intensive biological nitrogen fixation is the least common. Deviations from the energy-based framework include the higher-than-expected prevalence of the assimilatory pathway for chitin, a large organic polymer. Energy availability is also important, with aerobic chemoorganotrophs and oxygenic phototrophs notably possessing ~2-fold higher numbers of total strategies compared to anaerobic microbes. Environmental controls are evidenced by the enrichment of inorganic N assimilation strategies among free-living taxa compared to host-associated taxa. Physiological constraints such as pathway incompatibility add complexity to N acquisition strategy distributions. Finally, we discuss the necessity for microbially-relevant spatiotemporal environmental metadata for improving mechanistic and prediction-oriented analyses of genomic data.
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Affiliation(s)
- Linta Reji
- Department of GeosciencesPrinceton UniversityPrincetonNew JerseyUSA
- High Meadows Environmental InstitutePrinceton UniversityPrincetonNew JerseyUSA
| | - Romain Darnajoux
- Department of GeosciencesPrinceton UniversityPrincetonNew JerseyUSA
| | - Xinning Zhang
- Department of GeosciencesPrinceton UniversityPrincetonNew JerseyUSA
- High Meadows Environmental InstitutePrinceton UniversityPrincetonNew JerseyUSA
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