Core defense hotspots within Pseudomonas aeruginosa are a consistent and rich source of anti-phage defense systems.
Core defense hotspots within Pseudomonas aeruginosa are a consistent and rich source of anti-phage defense systems.
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DOI:
10.1093/nar/gkad317
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发表时间:
2023-06-09
影响因子:
14.9
通讯作者:
Bondy-Denomy, Joseph
中科院分区:
文献类型:
--
作者:
Johnson, Matthew C.;Laderman, Eric;Huiting, Erin;Zhang, Chi;Davidson, Alan;Bondy-Denomy, Joseph
Bacteria use a diverse arsenal of anti-phage immune systems, including CRISPR-Cas and restriction enzymes. Recent advances in anti-phage system discovery and annotation tools have unearthed many unique systems, often encoded in horizontally transferred defense islands, which can be horizontally transferred. Here, we developed Hidden Markov Models (HMMs) for defense systems and queried microbial genomes on the NCBI database. Out of the 30 species with >200 completely sequenced genomes, our analysis found Pseudomonas aeruginosa exhibits the greatest diversity of anti-phage systems, as measured by Shannon entropy. Using network analysis to identify the common neighbors of anti-phage systems, we identified two core defense hotspot loci (cDHS1 and cDHS2). cDHS1 is up to 224 kb (median: 26 kb) with varied arrangements of more than 30 distinct immune systems across isolates, while cDHS2 has 24 distinct systems (median: 6 kb). Both cDHS regions are occupied in a majority of P. aeruginosa isolates. Most cDHS genes are of unknown function potentially representing new anti-phage systems, which we validated by identifying a novel anti-phage system (Shango) commonly encoded in cDHS1. Identifying core genes flanking immune islands could simplify immune system discovery and may represent popular landing spots for diverse MGEs carrying anti-phage systems. Core defense hotspots are regions of a bacterial genome where multiple anti-phage immune systems are encoded between core genes.
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影响因子:
28.3
作者:
Millman A;Melamed S;Amitai G;Sorek R
通讯作者:
Sorek R
DOI:
10.1126/science.aba0372
发表时间:
2020-08-28
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Gao L;Altae-Tran H;Böhning F;Makarova KS;Segel M;Schmid-Burgk JL;Koob J;Wolf YI;Koonin EV;Zhang F
通讯作者:
Zhang F
影响因子:
14.9
作者:
Grissa, Ibtissem;Vergnaud, Gilles;Pourcel, Christine
通讯作者:
Pourcel, Christine
影响因子:
30.3
作者:
Millman, Adi;Melamed, Sarah;Sorek, Rotem
通讯作者:
Sorek, Rotem
影响因子:
3.7
作者:
Abby SS;Néron B;Ménager H;Touchon M;Rocha EP
通讯作者:
Rocha EP