Evidence map›Paper›PMID 37938655›Full record

ArticleISME communications2022

Applying the concept of liquid biopsy to monitor the microbial biodiversity of marine coastal ecosystems.

Sophia Ferchiou, France Caza, Philippine Granger Joly de Boissel, Richard Villemur, Yves St-Pierre

Abstract read
In one paragraph

Article in ISME communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sophia Ferchiou *INRS-Centre Armand-Frappier Santé Biotechnologie, Laval, Québec, H7V 1B7, Canada.
France Caza *INRS-Centre Armand-Frappier Santé Biotechnologie, Laval, Québec, H7V 1B7, Canada.
Philippine Granger Joly de BoisselINRS-Centre Armand-Frappier Santé Biotechnologie, Laval, Québec, H7V 1B7, Canada.
Richard VillemurINRS-Centre Armand-Frappier Santé Biotechnologie, Laval, Québec, H7V 1B7, Canada.
Yves St-PierreINRS-Centre Armand-Frappier Santé Biotechnologie, Laval, Québec, H7V 1B7, Canada. yves.st-pierre@inrs.ca.ORCID http://orcid.org/0000-0002-1948-2041

Funding

Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada) RGPIN-2019-06607
6 · The paper itself

Abstract

Liquid biopsy (LB) is a concept that is rapidly gaining ground in the biomedical field. Its concept is largely based on the detection of circulating cell-free DNA (ccfDNA) fragments that are mostly released as small fragments following cell death in various tissues. A small percentage of these fragments are from foreign (nonself) tissues or organisms. In the present work, we applied this concept to mussels, a sentinel species known for its high filtration capacity of seawater. We exploited the capacity of mussels to be used as natural filters to capture environmental DNA fragments of different origins to provide information on the biodiversity of marine coastal ecosystems. Our results showed that hemolymph of mussels contains DNA fragments that varied considerably in size, ranging from 1 to 5 kb. Shotgun sequencing revealed that a significant amount of DNA fragments had a nonself microbial origin. Among these, we found DNA fragments derived from bacteria, archaea, and viruses, including viruses known to infect a variety of hosts that commonly populate coastal marine ecosystems. Taken together, our study shows that the concept of LB applied to mussels provides a rich and yet unexplored source of knowledge regarding the microbial biodiversity of a marine coastal ecosystem.

Identifiers

PMID37938655
PMCPMC9723566

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.