Abstract

BackgroundOverlapping genes (OLGs) with long protein-coding overlapping sequences are disallowed by standard genome annotation programs, outside of viruses. Recently however they have been discovered in Archaea, diverse Bacteria, and Mammals. The biological factors underlying life’s ability to create overlapping genes require more study, and may have important applications in understanding evolution and in biotechnology. A previous study claimed that protein domains from viruses were much better suited to forming overlaps than those from other cellular organisms - in this study we assessed this claim, in order to discover what might underlie taxonomic differences in the creation of gene overlaps.ResultsAfter overlapping arbitrary Pfam domain pairs and evaluating them with Hidden Markov Models we find OLG construction to be much less constrained than expected. For instance, close to 10% of the constructed sequences cannot be distinguished from typical sequences in their protein family. Most are also indistinguishable from natural protein sequences regarding identity and secondary structure. Surprisingly, contrary to a previous study, virus domains were much less suitable for designing OLGs than bacterial or eukaryotic domains were. In general, the amount of amino acid change required to force a domain to overlap is approximately equal to the variation observed within a typical domain family. The resulting high similarity between natural sequences and those altered so as to overlap is mostly due to the combination of high redundancy in the genetic code and the evolutionary exchangeability of many amino acids.ConclusionsSynthetic overlapping genes which closely resemble natural gene sequences, as measured by HMM profiles, are remarkably easy to construct, and most arbitrary domain pairs can be altered so as to overlap while retaining high similarity to the original sequences. Future work however will need to assess important factors not considered such as intragenic interactions which affect protein folding. While the analysis here is not sufficient to guarantee functional folding proteins, further analysis of constructed OLGs will improve our understanding of the origin of these remarkable genetic elements across life and opens up exciting possibilities for synthetic biology.

Highlights

  • Overlapping genes (OLGs) with long protein-coding overlapping sequences are disallowed by standard genome annotation programs, outside of viruses

  • Using the improved evaluation of the designed OLGs we study the impact on properties of constructed domains in terms of amino acid identity, similarity, and protein secondary structure

  • Both problems can be approached more fruitfully by instead using hidden Markov model (HMM) profiles to determine sequence similarity and using these to define a threshold for successful OLGs derived from sequences in the same protein family

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Summary

Introduction

Overlapping genes (OLGs) with long protein-coding overlapping sequences are disallowed by standard genome annotation programs, outside of viruses They have been discovered in Archaea, diverse Bacteria, and Mammals. Wichmann et al BMC Genomics (2021) 22:888 recent discoveries of fully embedded protein-coding genes encoded in alternate reading frames of known genes in Archaea [3], Bacteria [4,5,6] and even in mammals, including humans [7, 8]. Relatively few fully embedded overlapping genes have been annotated, more have recently been discovered, including in the pandemic viruses HIV and SARS-CoV-2 [2, 14, 15] This ubiquity of overlapping coding has potential applications in biotechnology but is not well understood, and the contributions of fundamental biological factors such as the genetic code require further research

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