Abstract
Social insects exhibit extensive phenotypic diversities among the genetically similar individuals, suggesting a role for the epigenetic regulations beyond the genome level. The ADAR-mediated adenosine-to-inosine (A-to-I) RNA editing, an evolutionarily conserved mechanism, facilitates adaptive evolution by expanding proteomic diversities. Here, we characterize the A-to-I RNA editome of honeybees (Apis mellifera), identifying 407 high-confidence A-to-I editing sites. Editing is most abundant in the heads and shows signatures for positive selection. Editing behavior differs between foragers and nurses, suggesting a role for editing in caste differentiation. Although only five sites are conserved between bees and flies, an unexpectedly large number of genes exhibit editing in both species, albeit at different locations, including the nonsynonymous auto-editing of Adar. This convergent evolution, where the same target genes independently acquire recoding events in distant diverged clades, together with the signals of adaptation observed in honeybees alone, further supports the notion of recoding being adaptive.
Original language | English |
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Article number | 101983 |
Journal | iScience |
Volume | 24 |
Issue number | 1 |
DOIs | |
State | Published - 22 Jan 2021 |
Bibliographical note
Publisher Copyright:© 2020 The Author(s)
Funding
We thank the National Center for Protein Sciences at Peking University for technical assistance. Part of the analysis was performed on the High Performance Computing Platform of the Center for Life Science at Peking University. This work was supported by the joint NSFC-ISF program (NSFC grant number 3201101147 to J.L. and ISF grant number 3371/20 to E.E.), as well as grants from the Ministry of Science and Technology of the People's Republic of China (2016YFA0500800) and National Natural Science Foundation of China (91731301) to J.L. and support from the Israel Science Foundation (1945/18) to E.E. J.L. designed the research; J.X.H. contributed the honeybee materials; S.Q.D. performed the research; Y.G.D. H.T.P. E.E. and J.L. performed the bioinformatics analyses; E.E. and J.L. wrote the paper. The authors declare no competing interests. We thank the National Center for Protein Sciences at Peking University for technical assistance. Part of the analysis was performed on the High Performance Computing Platform of the Center for Life Science at Peking University. This work was supported by the joint NSFC-ISF program ( NSFC grant number 3201101147 to J.L. and ISF grant number 3371/20 to E.E.), as well as grants from the Ministry of Science and Technology of the People's Republic of China ( 2016YFA0500800 ) and National Natural Science Foundation of China ( 91731301 ) to J.L. and support from the Israel Science Foundation ( 1945/18 ) to E.E.
Funders | Funder number |
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NSFC-ISF | |
National Natural Science Foundation of China | 3201101147, 91731301 |
Ministry of Science and Technology of the People's Republic of China | 2016YFA0500800 |
Israel Science Foundation | 3371/20, 1945/18 |
Peking University |
Keywords
- Evolutionary Biology
- Genetic Engineering
- Genetics
- Genomics