paper-with-me

홈 › Papers

Analysis of pangolin metagenomic datasets reveals significant contamination, raising concerns for pangolin CoV host attribution

2021-08-18 · Adrian Jones, Daoyu Zhang, Yuri Deigin, Steven C. Quay

Metagenomic datasets from pangolin tissue specimens have previously yielded SARS-related coronaviruses which show high homology in their receptor binding domain to SARS-CoV-2, suggesting a potential zoonotic source for this feature of the human virus, possibly via recombination (Liu et al. 2019, Lam et al. 2020, Xiao et al. 2020, Liu et al. 2020). Here we re-examine these published datasets. We report that only a few pangolin samples were found to contain coronavirus reads, and even then in low abundance, while other non-pangolin hosted viruses were present in higher abundance. We also discovered extensive contamination with human, rodent, and other mammalian gene sequences, which was a surprising finding. Furthermore, we uncovered a number of pangolin CoV sequences embedded in standard laboratory cloning vectors, which suggests the pangolin specimens could have been contaminated with sequences derived from synthetic biology experiments. Finally, we discover a third pangolin dataset (He et al. 2022) with low levels of SARSr-CoV sequences and unambiguous extensive contamination of several pangolin samples. For these reasons, we find it unlikely that the pangolins in question had a coronavirus infection while alive, and all current versions of the cited papers claiming a zoonotic infection of pangolins with a SARS-r CoV require substantial corrections and should be retracted until such corrections are made.

📄 PDF Abstract BibTeX arXiv:2108.08163

Code (1)

bioscienceresearch/pangolin_cov_sra_analysis 공식 구현

Similar Papers 제목 키워드 기반

Further analysis of metagenomic datasets containing GD and GX pangolin CoVs indicates widespread contamination, undermining pangolin host attribution

2022-07-07 · Adrian Jones, Steven E. Massey, Daoyu Zhang, Yuri Deigin 외

The only animals other than bats reported to have been infected with SARS-CoV-2-related coronaviruses (SARS2r-CoVs) prior to the COVID-19 pandemic are pangolins. In early 2020 multiple papers reported the identification …

Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning

2024-11-04 · Abdulkadir Celikkanat, Andres R. Masegosa, Thomas D. Nielsen

Obtaining effective representations of DNA sequences is crucial for genome analysis. Metagenomic binning, for instance, relies on genome representations to cluster complex mixtures of DNA fragments from biological sample…

Representation Learning

Spaced seeds improve k-mer-based metagenomic classification

2015-02-22 · Karel Brinda, Maciej Sykulski, Gregory Kucherov

Metagenomics is a powerful approach to study genetic content of environmental samples that has been strongly promoted by NGS technologies. To cope with massive data involved in modern metagenomic projects, recent tools […

ClassificationGeneral Classification

NLP-based classification of software tools for metagenomics sequencing data analysis into EDAM semantic annotation

2022-09-30 · Kaoutar Daoud Hiri, Matjaž Hren, Tomaž Curk

Motivation: The rapid growth of metagenomics sequencing data makes metagenomics increasingly dependent on computational and statistical methods for fast and efficient analysis. Consequently, novel analysis tools for big-…

regression

FGBERT: Function-Driven Pre-trained Gene Language Model for Metagenomics

2024-02-24 · Chenrui Duan, Zelin Zang, Yongjie Xu, Hang He 외

Metagenomic data, comprising mixed multi-species genomes, are prevalent in diverse environments like oceans and soils, significantly impacting human health and ecological functions. However, current research relies on K-…

Contrastive LearningLanguage ModelingLanguage ModellingTriplet