No Transcriptional Compensation for Extreme Gene Dosage Imbalance in Fragmented Bacterial Endosymbionts of Cicadas.
Genome Biol Evol
; 15(6)2023 Jun 01.
Article
in En
| MEDLINE
| ID: mdl-37267326
Bacteria that form long-term intracellular associations with host cells lose many genes, a process that often results in tiny, gene-dense, and stable genomes. Paradoxically, the some of the same evolutionary processes that drive genome reduction and simplification may also cause genome expansion and complexification. A bacterial endosymbiont of cicadas, Hodgkinia cicadicola, exemplifies this paradox. In many cicada species, a single Hodgkinia lineage with a tiny, gene-dense genome has split into several interdependent cell and genome lineages. Each new Hodgkinia lineage encodes a unique subset of the ancestral unsplit genome in a complementary way, such that the collective gene contents of all lineages match the total found in the ancestral single genome. This splitting creates genetically distinct Hodgkinia cells that must function together to carry out basic cellular processes. It also creates a gene dosage problem where some genes are encoded by only a small fraction of cells while others are much more abundant. Here, by sequencing DNA and RNA of Hodgkinia from different cicada species with different amounts of splitting-along with its structurally stable, unsplit partner endosymbiont Sulcia muelleri-we show that Hodgkinia does not transcriptionally compensate to rescue the wildly unbalanced gene and genome ratios that result from lineage splitting. We also find that Hodgkinia has a reduced capacity for basic transcriptional control independent of the splitting process. Our findings reveal another layer of degeneration further pushing the limits of canonical molecular and cell biology in Hodgkinia and may partially explain its propensity to go extinct through symbiont replacement.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Alphaproteobacteria
/
Flavobacteriaceae
/
Hemiptera
Limits:
Animals
Language:
En
Journal:
Genome Biol Evol
Year:
2023
Document type:
Article