Thread by @humblesci

My co-authors @stevenemassey @Daoyu15 @ydeigin @quay_dr and I have just published another #pangolin CoV preprint. We review pangolin fecal samples DG14 and DG18 and find GD PCoV read distribution consistent with contamination by PCR targeted seqs.

arxiv.org/abs/2207.03288

In samples DG14 and DG18 we plasmid sequences containing Sus scrofa CD163 and a lager plasmid sequence containing SP6 RNA polymerase. Both of these plasmids have far higher read mappings than the GD PCoV in the dataset.

We also add to our previous analysis of GX PCoV sample GX/P3B and find numerous cloning vectors in the dataset and human genomic content.

Finally we review the human, mouse and tiger mitochondrial content in the Liu et al. (2019) pangolin datasets first identified by Hassanin (2020) and infer a combination of upstream and index hopping causes.

The paper builds on pangolin RNA-Seq dataset analysis below.

arxiv.org/abs/2108.08163