Evidence map›Paper›PMID 35718540›Full record

ArticleEnvironmental microbiology reports2022

SARS-CoV-2 whole-proteome sequences from environment as an indicator of community viral distribution, evolution and epidemiological dynamics: A cohort analysis of Austria.

Murali Aadhitya Magateshvaren Saras, L Ponoop Prasad Patro, Patil Pranita Uttamrao, Thenmalarchelvi Rathinavelan

Open access · bronzeAbstract read
In one paragraph

Article in Environmental microbiology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

4 authors at 1 institution in 1 country.

Murali Aadhitya Magateshvaren SarasDepartment of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Telangana, India.
L Ponoop Prasad PatroDepartment of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Telangana, India.
Patil Pranita UttamraoDepartment of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Telangana, India.
Thenmalarchelvi RathinavelanDepartment of Biotechnology, Indian Institute of Technology Hyderabad, Kandi, Telangana, India.ORCID 0000-0002-1142-0583
Indian Institute of Technology Hyderabad · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several investigations have been carried out to detect SARS-CoV-2 samples from the environment such as sewage waters and surface swabs. Whole-proteome sequence analysis of 847 SARS-CoV-2 genome sequences collected from the environment in Austria during 2021 and deposited in GISAID indicates that alpha and delta are two dominant variants, coinciding with the human clinical samples with a Pearson correlation coefficient in the range of 0.58 (alpha variant) to 0.82 (delta variant). Both environmental and human samples show that Austrian SARS-CoV-2 alpha variant is found to possess N protein R203K and G204R/P mutations, whereas they are absent in the delta variant. SARS-CoV-2 delta variant is continuously seen in both the environmental and human clinical samples from the month of September 2021 and it spiked in November 2021, which is directly reflected in the increase of the number of SARS-CoV-2 infections and deaths in Austria during November 2021. Thus, the results presented here indicate that the environmental SARS-CoV-2 whole-genome sequences collected from Austria reflect the community viral distribution, evolution and the concomitant epidemiological dynamics. Since SARS-CoV-2 keeps evolving, the results presented here further suggest the need to monitor the environment for the early detection of SARS-CoV-2 variants to take appropriate precautionary measures.

Indexed as

COVID-19SARS-CoV-2AustriaGenome, ViralHumansProteomeProteome

Identifiers

PMID35718540
PMCPMC9350003
OpenAlexW4283171739

What OpenQuestion holds

Textmetadata
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.