Exploring protein duplication across Archaea genomes
Munoz-Velasco, I.; Herrera-Cacho, V.; Mejia, G.; Jara-Servin, A.; Martinez-Trueba, L.; Alcaraz, L. D.
Show abstract
Gene duplication is a major driver of genomic innovation, but whether paralog accumulation scales uniformly with increasing genome size across the domain Archaea remains unclear. This study presents a domain-wide analysis of 1,829 archaeal genomes and their predicted proteomes to evaluate protein family expansions, their distribution, and lineage-specific patterns of gene duplication. Protein family expansions were classified as recent (90% sequence identity), intermediate (70%), or old (40%) duplications based on sequence-identity thresholds within each family. The findings show that gene duplication content is decoupled from overall proteome size at high sequence-identity levels, indicating that recent paralog retention does not correlate with proteome expansion. Archaeal lineages exhibit contrasting gene duplication profiles. All 1,829 genomes contained paralogs at the 40% sequence identity threshold, indicating the widespread presence of ancient or divergent duplication events. In contrast, paralogs detected at the 90% identity threshold, showed substantial variation across lineages. Their proportion reached up to 16.6% in groups such as Halobacteria, whereas only 74 genomes (4.04%) completely lacked paralogs at this threshold. Highly duplicated families are enriched for membrane transport systems (ABC/MFS), central metabolic enzymes (e.g., acetyl-CoA synthetase), a high proportion of uncharacterized functions, and mobile elements, predominantly transposases. Notably, we identified 314 transposase protein families in Archaea, distributed in 161 unique families in Archaea and 153 families shared with Bacteria, suggesting mechanisms of interdomain gene transfer. Overall, paralog accumulation in Archaea is a lineage-specific phenomenon shaped by targeted functional duplications and mobile element activity, rather than a simple consequence of proteome growth.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Compensatory Relationship between Low Complexity Regions and Gene Paralogy in the Evolution of Prokaryotes 93%
- FliO is an evolutionarily conserved yet diversified core component of the bacterial flagellar type III secretion system 93%
- The heterogeneous selection landscape of genome evolution in prokaryotes 93%
Similar papers in this journal
- Identification and Characterization of Archaeal Pseudomurein Biosynthesis Genes through Pangenomics 93%
- A systems-level insight into PHB-driven metabolic adaptation orchestrated by the PHB-binding transcriptional regulator AniA (PhaR) 92%
- Probing the genomic and proteomic basis of encystment in Oxytricha granulifera 91%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.