Evidence map›Paper›PMID 33587745›Full record

ArticleBriefings in bioinformatics2021

Roles of host small RNAs in the evolution and host tropism of coronaviruses.

Qingren Meng, Yanan Chu, Changjun Shao, Jing Chen, Jian Wang, Zhancheng Gao, Jun Yu, Yu Kang

Open access · hybridAbstract read
In one paragraph

Article in Briefings in bioinformatics, 2021. 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
0.2field-weighted citation impact, top 48% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Bioinformatic Tools for the Analysis and Prediction of ncRNA Interactions.International journal of molecular sciences · 2021
    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

8 authors at 3 institutions in 1 country.

Qingren MengSouthern University of Science and Technology School of Medicine, China.
Yanan ChuBeijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Changjun ShaoBeijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Jing ChenBeijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Jian WangBeijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Zhancheng GaoPeking University People's Hospital, Beijing, China.
Jun YuBeijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Yu KangBeijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Chinese Academy of Sciences · CNPeking University · CNSouthern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human coronaviruses (CoVs) can cause respiratory infection epidemics that sometimes expand into globally relevant pandemics. All human CoVs have sister strains isolated from animal hosts and seem to have an animal origin, yet the process of host jumping is largely unknown. RNA interference (RNAi) is an ancient mechanism in many eukaryotes to defend against viral infections through the hybridization of host endogenous small RNAs (miRNAs) with target sites in invading RNAs. Here, we developed a method to identify potential RNAi-sensitive sites in the viral genome and discovered that human-adapted coronavirus strains had deleted some of their sites targeted by miRNAs in human lungs when compared to their close zoonic relatives. We further confirmed using a phylogenetic analysis that the loss of RNAi-sensitive target sites could be a major driver of the host-jumping process, and adaptive mutations that lead to the loss-of-target might be as simple as point mutation. Up-to-date genomic data of severe acute respiratory syndrome coronavirus 2 and Middle-East respiratory syndromes-CoV strains demonstrate that the stress from host miRNA milieus sustained even after their epidemics in humans. Thus, this study illustrates a new mechanism about coronavirus to explain its host-jumping process and provides a novel avenue for pathogenesis research, epidemiological modeling, and development of drugs and vaccines against coronavirus, taking into consideration these findings.

Indexed as

Biological EvolutionHost-Pathogen InteractionsViral TropismCOVID-19HumansRNASARS-CoV-2RNAadaptive mutationcoronavirushost tropismsmiRNARNAi

Identifiers

PMID33587745
PMCPMC7929378
OpenAlexW3132982678

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.