Phylogenetic correlation between the Type IV Secretion System and HIP1 suggest an adaptation for horizontal gene transfer conserved at the phylum level

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ID: 338009
2026
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Abstract
ABSTRACT Most cyanobacterial genomes are rich in the GCGATCGC octamer, also known as Highly Iterated Palindrome 1 (HIP1). Despite its description over three decades ago, the biological function of this highly abundant sequence is only beginning to be elucidated. HIP1 is recognized by two DNA methylases, DmtA and DmtC, and is characterized by its evolutionary conservation and a quasi-periodic distribution within genomes. However, whether the phylogenetic distribution of HIP1 correlates with the presence of functional categories of protein families remains unknown. Here we investigated whether certain protein families share a phylogenetic distribution with this abundant palindromic sequence across cyanobacterial genomes. Our analysis revealed a strong phylogenetic correlation between several proteins of the Type IV secretion system (T4SS) and the abundance of HIP1. This finding aligns with recent discoveries demonstrating that HIP1 enhances DNA transformation in a methylation-dependent manner in two distinct cyanobacterial species. Consequently, we hypothesize that HIP1 function as a conserved adaptation for horizontal gene transfer (HGT) at the phylum level, potentially by serving as a DNA-uptake recognition sequence in cyanobacteria. Significance statement Scientists have long been baffled by the HIP1 sequence, a short, highly common, repetitive DNA pattern found across almost all cyanobacterial genomes. Our study used a whole-genome evolutionary approach and found that the presence of this repetitive pattern is tightly linked to the presence of a cell’s external DNA uptake system. This tight co-evolutionary relationship suggests that HIP1 isn’t just random genomic feature, but a conserved evolutionary adaptation used by the entire cyanobacterial phylum to specifically enhance their ability to acquire new genes from one another.
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openalex_W7166651979 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors
Journal genome biology and evolution
Year 2026
DOI
10.1093/gbe/evag270
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