12345671 of 15
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Metabolic dependencies across levels of microbial organization: A genome-resolved view of free-living microorganisms in the Baltic Sea
Stockholm University, Faculty of Science, Department of Ecology, Environment and Plant Sciences.ORCID iD: 0009-0009-2801-0917
2026 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Microorganisms in aquatic environments live in complex communities governed by environmental gradients, ecological interactions, and evolutionary processes. Although many bacteria and archaea lack complete biosynthetic pathways for essential metabolites, how the resulting metabolic dependencies are organized in natural communities remains unclear. This thesis examines metabolic dependencies among free-living microorganisms in the Baltic Sea and how biosynthetic potential is distributed across levels of microbial organization, from natural microbial cohorts and experimentally cultivated communities (microbial model communities) to genomic variation within an abundant microbial population.

The thesis combines genome-resolved metagenomics, co-occurrence network analysis, cultivated model communities, and population-level analyses. Chapter I shows that microbial communities can be organized into recurring groups of microorganisms, here referred to as microbial cohorts. These represent an intermediate level between taxa and whole communities for studying community structure and associations.

Chapter II applies cohort analysis to the Baltic Sea using BalticMAG. Across 701 species-representative genomes and 112 metagenomes, microbial cohorts were associated with gradients such as salinity, oxygen, and temperature, and differed in metabolic potential. Amino acid biosynthesis pathways were generally more complete, whereas B-vitamin pathways were more often incomplete or patchy, suggesting that potential metabolic dependencies are tied to the ecological context shaping the cohorts.

Chapter III examines cultivated microbial model communities established from a Baltic Sea sample using a dilution-to-extinction approach. From 204 communities, we recovered 527 metagenome-assembled genomes (MAGs) representing 72 species-clusters. Many recovered taxa were previously uncultivated and appeared only in multi-species communities. Microorganisms in communities with more than three species tended to have lower biosynthetic potential for amino acids and B-vitamins, while different species often encoded different steps of the same pathways. These results suggest that naturally derived model communities can reveal metabolic interdependencies difficult to observe in pure culture.

Chapter IV focuses on an abundant Nitrosopumilus population from the Baltic Sea that retained complete or near-complete pathways for vitamins B1, B7, and B12 despite its small genome. Analyses revealed genetic structure across environmental gradients, and B-vitamin biosynthesis genes showed stronger purifying selection than the genomic background. These genes were widely retained across ammonia-oxidizing archaea (AOA), while measurements in the cultivated relative Nitrosopumilus maritimus detected B-vitamins and precursors in both intracellular and extracellular fractions. These results suggest that biosynthetic functions may be retained in streamlined genomes under particular ecological or evolutionary conditions.

Overall, this thesis brings together recurring microbial cohorts, growth in cultivated communities, and retention of specific pathways within populations to understand biosynthetic potential and metabolic dependencies. This genome-resolved view shows how biosynthetic potential is distributed among Baltic Sea microorganisms and why metabolic dependencies must be interpreted in relation to ecological context, cultivation, and genome evolution.

Place, publisher, year, edition, pages
Stockholm: Department of Ecology, Environment and Plant Sciences, Stockholm University , 2026. , p. 54
Keywords [en]
metabolic dependencies, microbial ecology, genome-resolved metagenomics, biosynthetic potential, microbial cohorts, microbial model communities, Baltic Sea, B-vitamin biosynthesis, population genetics, genome streamlining, Nitrosopumilus
National Category
Microbiology Ecology Bioinformatics and Computational Biology
Research subject
Ecology and Evolution
Identifiers
URN: urn:nbn:se:su:diva-258651ISBN: 978-91-8107-706-3 (print)ISBN: 978-91-8107-707-0 (electronic)OAI: oai:DiVA.org:su-258651DiVA, id: diva2:2095562
Public defence
2026-10-09, Vivi Täckholm lecture hall, NPQ-building, Svante Arrhenius väg 20 and online via Zoom, public link will be available at the department website, Stockholm, 09:00 (English)
Opponent
Supervisors
Available from: 2026-09-16 Created: 2026-08-26 Last updated: 2026-09-07Bibliographically approved
List of papers
1. Microbial cohorts: bringing ecological meaning to the modularity concept of co-occurrence networks
Open this publication in new window or tab >>Microbial cohorts: bringing ecological meaning to the modularity concept of co-occurrence networks
Show others...
2026 (English)In: ISME Communications, E-ISSN 2730-6151, Vol. 6, no 1, article id ycag037Article in journal (Refereed) Published
Abstract [en]

Microbial communities are structured through complex interactions that are difficult to observe directly. Co-occurrence networks offer a way to infer community structure, revealing (not exclusively) potential biotic interactions. Such networks have been inferred for diverse biomes and repeatedly found to be modular, yet the ecological significance of this modularity remains underexplored. We tested whether clusters within co-occurrence networks (“cohorts”), are universal and ecologically meaningful units by assessing their ubiquity, stability, and environmental specificity across diverse ecosystems. Our meta-analysis spans 25 previously published 16S rRNA gene amplicon sequencing datasets (14 160 samples) and covers high environmental variability ranging from aquatic, terrestrial to anthropogenic environments. Microbial co-occurrence networks consistently exhibited high modularity across biomes. Inferred cohorts were ubiquitous and represented up to 90% of the community composition. Our findings demonstrate that modularity is a fundamental and generalizable feature of microbial community organization, indicating the existence of stable subcommunities. Highly similar cohorts were inferred even across different, unconnected environments and datasets, and showed consistent responses to environmental gradients, indicating that their composition is to a large degree deterministic and predictable. The overall cohort structure and environmental preferences were independent of the sample size and the inference algorithm, underlining the robustness and applicability of the results. Recognizing these microbial cohorts as a meaningful level of microbial organization will refine microbial community ecology, cultivation strategies, and predictive modelling of microbial dynamics.

Keywords
biodiversity, biogeography, biological organization, co-occurrence networks, ecological niche, meta-analysis, microbial community assembly, microbial ecology, microbiome, modularity
National Category
Microbiology
Identifiers
urn:nbn:se:su:diva-253973 (URN)10.1093/ismeco/ycag037 (DOI)001712359400001 ()2-s2.0-105032793705 (Scopus ID)
Available from: 2026-04-01 Created: 2026-04-01 Last updated: 2026-08-26Bibliographically approved
2. Baltic Sea microbial cohorts exhibit catabolic specialization and anabolic interdependencies across environmental gradients
Open this publication in new window or tab >>Baltic Sea microbial cohorts exhibit catabolic specialization and anabolic interdependencies across environmental gradients
(English)Manuscript (preprint) (Other academic)
National Category
Biological Sciences
Identifiers
urn:nbn:se:su:diva-258649 (URN)
Available from: 2026-08-26 Created: 2026-08-26 Last updated: 2026-08-26
3. Microbial model communities exhibit widespread metabolic interdependencies
Open this publication in new window or tab >>Microbial model communities exhibit widespread metabolic interdependencies
Show others...
2025 (English)In: Communications Biology, E-ISSN 2399-3642, Vol. 8, no 1, article id 1752Article in journal (Refereed) Published
Abstract [en]

Microorganisms thrive in complex communities shaped by intricate interactions, yet the extent and ecological implications of biosynthetic dependencies in natural communities remain underexplored. Here, we used a dilution approach to cultivate 204 microbial model communities from the Baltic Sea and recovered 527 metagenome-assembled genomes (MAGs) that dereplicated into 72 species-clusters (>95% average nucleotide identity, ANI). Of these species, at least 70% represent previously uncultivated lineages. Combined with 1073 MAGs from Baltic Sea metagenomes, we generated a genomic catalog of 701 species-clusters. Our results show that cultures with more than three species included microorganisms with smaller genome sizes, lower biosynthetic potential for amino acids and B vitamins, and higher prevalence and abundance in the environment. Moreover, the taxa found together in the same model communities had complementary biosynthetic gene repertoires. Our results demonstrate that cultivating bacteria in dilution model communities facilitates access to previously uncultivated but abundant species that likely depend on metabolic partners for survival. Together, our findings highlight the value of community-based cultivation for unraveling ecological strategies. Finally, we confirm that metabolic interdependencies and genome streamlining are widespread features of successful environmental microorganisms.

National Category
Ecology Microbiology
Identifiers
urn:nbn:se:su:diva-250880 (URN)10.1038/s42003-025-09306-y (DOI)001632317900001 ()41339710 (PubMedID)2-s2.0-105024124492 (Scopus ID)
Available from: 2026-01-12 Created: 2026-01-12 Last updated: 2026-08-26Bibliographically approved
4. A streamlined and abundant Nitrosopumilus population retains vitamin biosynthesis under high purifying selection in the Baltic Sea
Open this publication in new window or tab >>A streamlined and abundant Nitrosopumilus population retains vitamin biosynthesis under high purifying selection in the Baltic Sea
Show others...
(English)Manuscript (preprint) (Other academic)
National Category
Biological Sciences
Identifiers
urn:nbn:se:su:diva-258650 (URN)
Available from: 2026-08-26 Created: 2026-08-26 Last updated: 2026-08-26

Open Access in DiVA

Metabolic dependencies across levels of microbial organization: A genome-resolved view of free-living microorganisms in the Baltic Sea(7143 kB)27 downloads
File information
File name FULLTEXT01.pdfFile size 7143 kBChecksum SHA-512
2fe501661ee58aa35041d80a5fefa841958b35fbc9c63a49b639b9357e591bf34829882b4f791e10aceaa59a8d5ec58d6ac04eb6d651197c2055ce27be07d191
Type fulltextMimetype application/pdf

Authority records

Pacheco-Valenciana, Armando

Search in DiVA

By author/editor
Pacheco-Valenciana, Armando
By organisation
Department of Ecology, Environment and Plant Sciences
MicrobiologyEcologyBioinformatics and Computational Biology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 253 hits
12345671 of 15
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf