Abstract
Knowledge of deeply-rooted non-ammonia oxidising Thaumarchaeota lineages from terrestrial environments is scarce, despite their abundance in acidic soils. Here, 15 new deeply-rooted thaumarchaeotal genomes were assembled from acidic topsoils (0-15 cm) and subsoils (30-60cm), corresponding to two genera of terrestrially prevalent Gagatemarchaeaceae (previously known as thaumarchaeotal Group I.1c) and to a novel genus of heterotrophic terrestrial Thaumarchaeota. Unlike previous predictions, metabolic annotations suggest Gagatemarchaeaceae perform aerobic respiration and use various organic carbon sources. Evolutionary divergence between topsoil and subsoil lineages happenedearlyinGagatemarchaeaceaehistory,withsignificantmetabolicand genomic trait differences. Reconstruction of the evolutionary mechanisms showed that the genome expansion in topsoil Gagatemarchaeaceae resulted from extensive early lateral gene acquisition, followed by progressive gene duplication throughout evolutionary history. Ancestral trait reconstruction using the expanded genomic diversity also did not support the previous hypothesis of a thermophilic last common ancestor of the ammonia-oxidising archaea. Ultimately, this study provides a good model for studying mechanisms driving niche partitioning between spatially related ecosystems.
| Original language | English |
|---|---|
| Article number | 7305 |
| Journal | Nature Communications |
| Volume | 14 |
| DOIs | |
| Publication status | Published - 11 Nov 2023 |
Data Availability Statement
Accession numbers for the 15 new genomes presented in this study can be found in Supplementary Data 1 and under the NCBI BioProject PRJNA883052. The accession numbers for publicly available genome sequences used in the phylogenomic genome datasets can be found in Supplementary Data 22 and accessions for the expanded inter-domain set of prokaryotic genomes, used for single gene tree analysis, can be found in Supplementary Data 17. Public data is available from NCBI, KEGG, dbCAN, arCOG, PFAM, TIGRFAM and GTDB R202. Source data are provided in this paper.Funding
UKRI financially supported P.O.S. and Y.M. through the NERC grant (NE/R001529/1). In addition, C.G.-R. and T.A.W. were supported by Royal Society University Research Fellowships (URF150571 and UF140626, respectively). We thank Tony Travis for his support with Biolinux. The authors would also like to acknowledge the support of the Maxwell computer cluster funded by the University of Aberdeen.
| Funders | Funder number |
|---|---|
| UK Research & Innovation | NE/R001529/1 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
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