Evidence map›Paper›PMID 35974417›Full record

ArticleMicrobiome2022

Comparative genomic analysis of five freshwater cyanophages and reference-guided metagenomic data mining.

Kang Du, Feng Yang, Jun-Tao Zhang, Rong-Cheng Yu, Ziqing Deng, Wei-Fang Li, Yuxing Chen, Qiong Li, Cong-Zhao Zhou

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Viruses · 2023
    Article
  7. Fine structure and assembly pattern of a minimal myophage Pam3.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Article
  9. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Kang DuSchool of Life Sciences, University of Science and Technology of China, Hefei, 230027, Anhui, China.
Feng YangSchool of Life Sciences, University of Science and Technology of China, Hefei, 230027, Anhui, China.
Jun-Tao ZhangSchool of Life Sciences, University of Science and Technology of China, Hefei, 230027, Anhui, China.
Rong-Cheng YuSchool of Life Sciences, University of Science and Technology of China, Hefei, 230027, Anhui, China.
Ziqing DengBGI-Shenzhen, Shenzhen, 518083, China.
Wei-Fang LiSchool of Life Sciences, University of Science and Technology of China, Hefei, 230027, Anhui, China.
Yuxing ChenSchool of Life Sciences, University of Science and Technology of China, Hefei, 230027, Anhui, China.
Qiong LiSchool of Life Sciences, University of Science and Technology of China, Hefei, 230027, Anhui, China. liqiong@ustc.edu.cn.
Cong-Zhao ZhouSchool of Life Sciences, University of Science and Technology of China, Hefei, 230027, Anhui, China. zcz@ustc.edu.cn.
University of Science and Technology of China · CNBGI Group (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs important producers using photosynthesis on Earth, cyanobacteria contribute to the oxygenation of atmosphere and the primary production of biosphere. However, due to the eutrophication of urban waterbodies and global warming, uncontrollable growth of cyanobacteria usually leads to the seasonal outbreak of cyanobacterial blooms. Cyanophages, a group of viruses that specifically infect and lyse cyanobacteria, are considered as potential environment-friendly agents to control the harmful blooms. Compared to the marine counterparts, only a few freshwater cyanophages have been isolated and genome sequenced to date, largely limiting their characterizations and applications.

resultsHere, we isolated five freshwater cyanophages varying in tail morphology, termed Pam1~Pam5, all of which infect the cyanobacterium Pseudanabaena mucicola Chao 1806 that was isolated from the bloom-suffering Lake Chaohu in Anhui, China. The whole-genome sequencing showed that cyanophages Pam1~Pam5 all contain a dsDNA genome, varying in size from 36 to 142 Kb. Phylogenetic analyses suggested that Pam1~Pam5 possess different DNA packaging mechanisms and are evolutionarily distinct from each other. Notably, Pam1 and Pam5 have lysogeny-associated gene clusters, whereas Pam2 possesses 9 punctuated DNA segments identical to the CRISPR spacers in the host genome. Metagenomic data-based calculation of the relative abundance of Pam1~Pam5 at the Nanfei estuary towards the Lake Chaohu revealed that the short-tailed Pam1 and Pam5 account for the majority of the five cyanophages. Moreover, comparative analyses of the reference genomes of Pam1~Pam5 and previously reported cyanophages enabled us to identify three circular and seven linear contigs of virtual freshwater cyanophages from the metagenomic data of the Lake Chaohu.

conclusionsWe propose a high-throughput strategy to systematically identify cyanophages based on the currently available metagenomic data and the very limited reference genomes of experimentally isolated cyanophages. This strategy could be applied to mine the complete or partial genomes of unculturable bacteriophages and viruses. Transformation of the synthesized whole genomes of these virtual phages/viruses to proper hosts will enable the rescue of bona fide viral particles and eventually enrich the library of microorganisms that exist on Earth. Video abstract.

Indexed as

BacteriophagesGenome, ViralData MiningFresh WaterMetagenomicsOligopeptidesPhylogenyToll-Like Receptor 2Toll-Like Receptor 9OligopeptidesPAM2-CSK4Toll-Like Receptor 2Toll-Like Receptor 9CyanobacteriumFreshwater cyanophageMetagenomicsReference genomeWhole-genome sequencing

Identifiers

PMID35974417
PMCPMC9382816
OpenAlexW4292171455

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.