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了解你的敌人:从计算机模拟角度看细菌与噬菌体的相互作用

Know Your Enemy: and Phage Interactions Using an In Silico Perspective.

作者信息

Ramírez Carolina, Romero Jaime

机构信息

Laboratorio de Biotecnología de Alimentos, Instituto de Nutrición y Tecnología de los Alimentos (INTA), Universidad de Chile, El Líbano 5524, Santiago 7830489, Chile.

出版信息

Antibiotics (Basel). 2025 May 30;14(6):558. doi: 10.3390/antibiotics14060558.


DOI:10.3390/antibiotics14060558
PMID:40558148
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12189261/
Abstract

Aquaculture faces significant challenges due to bacterial infections, particularly , leading to extensive antibiotic use and raising concerns about antimicrobial resistance. In this context, bacteriophages and bacterial defense systems play a critical role in the evolutionary dynamics of . This study aimed to investigate the genomic landscape of prophage regions and antiphage defense systems in Piscirickettsia salmonis to better understand their co-evolutionary dynamics and explore their potential role in alternative disease control strategies for aquaculture. We analyzed 79 genomes of using bioinformatic tools to identify and characterize prophage regions and antiphage defense systems. At the chromosomal level, 70% of the strains contained prophage regions, with a total of 92 identified regions, most of which were classified as intact. At the plasmid level, 75% of plasmids carried prophage regions, with a total of 426 identified regions, predominantly associated with , , and . Prophage regions were enriched in transposases, head proteins, tail proteins, and phage-like proteins. The analysis of antiphage defense systems revealed that predominantly harbors dGTPase, AbidD, and SoFIC at the chromosomal level, whereas MazEF was the most frequent system in plasmids. A strong positive correlation was found between the number of prophage regions and defense systems in chromosomes (ρ = 0.72, = 6.3 × 10), while a weaker correlation was observed in plasmids. These findings highlight the complex interplay between and its bacteriophages, with implications for disease control in aquaculture. Overall, these insights into the prophage and defense system dynamics provide potential avenues for developing alternative strategies to combat infections and reduce reliance on antibiotics in aquaculture systems.

摘要

由于细菌感染,水产养殖面临重大挑战,尤其是导致抗生素的大量使用,并引发了对抗菌素耐药性的担忧。在这种背景下,噬菌体和细菌防御系统在[未提及具体对象]的进化动态中发挥着关键作用。本研究旨在调查鲑鱼立克次氏体中前噬菌体区域和抗噬菌体防御系统的基因组格局,以更好地理解它们的共同进化动态,并探索它们在水产养殖替代疾病控制策略中的潜在作用。我们使用生物信息学工具分析了79个[未提及具体对象]的基因组,以识别和表征前噬菌体区域和抗噬菌体防御系统。在染色体水平上,70%的菌株含有前噬菌体区域,共鉴定出92个区域,其中大部分被归类为完整区域。在质粒水平上,75%的质粒携带前噬菌体区域,共鉴定出426个区域,主要与[未提及具体内容]、[未提及具体内容]和[未提及具体内容]相关。前噬菌体区域富含转座酶、头部蛋白、尾部蛋白和噬菌体样蛋白。对抗噬菌体防御系统的分析表明,在染色体水平上,[未提及具体对象]主要含有dGTPase、AbidD和SoFIC,而MazEF是质粒中最常见的系统。在染色体中,前噬菌体区域的数量与防御系统之间发现了强烈的正相关(ρ = 0.72,P = 6.3 × 10),而在质粒中观察到的相关性较弱。这些发现突出了[未提及具体对象]与其噬菌体之间的复杂相互作用,对水产养殖中的疾病控制具有重要意义。总体而言,这些对前噬菌体和防御系统动态的见解为开发替代策略以对抗[未提及具体对象]感染并减少水产养殖系统中对抗生素的依赖提供了潜在途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d898/12189261/60e35c91272c/antibiotics-14-00558-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d898/12189261/7a5cb171cb11/antibiotics-14-00558-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d898/12189261/9bc2f219a1f0/antibiotics-14-00558-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d898/12189261/d57397406ce8/antibiotics-14-00558-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d898/12189261/ebb2897b3e0c/antibiotics-14-00558-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d898/12189261/60e35c91272c/antibiotics-14-00558-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d898/12189261/7a5cb171cb11/antibiotics-14-00558-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d898/12189261/9bc2f219a1f0/antibiotics-14-00558-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d898/12189261/d57397406ce8/antibiotics-14-00558-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d898/12189261/ebb2897b3e0c/antibiotics-14-00558-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d898/12189261/60e35c91272c/antibiotics-14-00558-g005.jpg

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本文引用的文献

[1]
pathogenicity: using the damage-response framework to look beyond smoke and mirrors.

mBio. 2025-4-9

[2]
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[3]
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mSphere. 2024-6-25

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Front Microbiol. 2023-11-20

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Clin Infect Dis. 2023-11-2

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Effect of low-dose Piscirickettsia salmonis infection on haematological-biochemical blood parameters in Atlantic salmon (Salmo salar).

J Fish Biol. 2022-10

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