Mitochondrial DNA from mammals susceptible to SARS-CoV-2 — including raccoon dog, hoary bamboo rat, Malayan porcupine, and masked palm civet — occurs in SARS-CoV-2-positive environmental samples from a wildlife stall at the Huanan market.

The co-detection is documented and WHO reads it as the most compelling spillover evidence available (COV-E005, COV-E007). The authors' own boundary is retained: these data cannot identify an infected species, and post-zoonotic human shedding produces the same pattern.

The co-detection is established and WHO reads it as the most compelling spillover evidence available (COV-E007). The analysing authors' own boundary is retained: these data cannot identify an infected species, and human shedding produces the same pattern (COV-E005).

Co-detection is established and WHO calls it the most compelling spillover evidence available (COV-E005, COV-E007). The analysing authors' own bound is retained: these data cannot identify an infected species, and human shedding produces the same pattern.

Metagenomic reanalysis confirmed the co-detection of mitochondrial DNA from highly susceptible species, including raccoon dogs, alongside SARS-CoV-2 in specific wildlife stalls. Zoonotic spillover directly predicts this exact biological co-location. The strongest opposing consideration, explicitly noted by the authors themselves, is that co-presence does not equal infection; shedding from an infected human vendor or customer would produce an identical metagenomic signature.

Metagenomic reanalysis of environmental swabs confirms the presence of mitochondrial DNA from susceptible species in the identical positive samples from a wildlife stall. This provides direct evidence of physical co-location between the virus and susceptible animals. The authors themselves caveat that co-detection is not proof of infection, as an early unreported human case shedding in the same stall would yield an identical molecular signature.

Metagenomic reanalysis of the Chinese CDC data confirms the presence of mitochondrial DNA from susceptible wildlife species within the exact same viral-positive environmental swabs. This directly proves the virus and candidate hosts were in the exact same location. The strongest opposing consideration is stated by the authors themselves: co-location cannot establish if the animals were infected, as an unreported human case shedding in the stall would leave identical evidence.

COV-E005 shows that all five viral-positive samples from a wildlife stall contained mtDNA from raccoon dogs and other susceptible mammals, with detailed species counts per sample; WHO’s SAGO concurs that this co-detection is the most compelling available spillover evidence (COV-E007). The strongest opposing consideration comes from the same authors: these data cannot establish which species were infected and are equally consistent with human shedding in a stall that held those animals, so the finding is about co-location, not infection.

The metagenomic reanalysis explicitly finds mitochondrial DNA from several SARS‑CoV‑2‑susceptible mammals — raccoon dog, bamboo rat, Malayan porcupine, masked palm civet and others — in all five virus‑positive samples from a wildlife stall (COV-E005), and WHO’s SAGO concurs that such co-detection occurred (COV-E007). The authors themselves emphasize that the data cannot identify which species, if any, were infected and that human shedding could also explain the pattern; this limits causal inference but not the co‑presence observation.

The metagenomic reanalysis clearly documents mitochondrial DNA from raccoon dogs and other susceptible mammals in all five SARS‑CoV‑2‑positive samples from the wildlife stall, and WHO SAGO endorses this as the most compelling spillover‑consistent evidence. The authors themselves stress, however, that these data cannot identify which species, if any, were infected and are equally compatible with human shedding near animal products.

Crits-Christoph 2024 found wildlife mitochondrial DNA in all five SARS-CoV-2-positive samples from wildlife stall A, with raccoon dog and hoary bamboo rat in all five, Malayan porcupine in four, and masked palm civet in one. SAGO 2025 calls this the most compelling evidence of a possible spillover and notes that the animals were present before closure. The strongest opposing consideration is the authors' own limitation, which belongs in the foreground: the data cannot conclude which species was infected, early unreported human shedding in the same stall would look identical, and a correlational analysis cannot reliably show infection — co-presence, not infection.

Crits-Christoph et al. identify wildlife mitochondrial DNA in all five SARS-CoV-2-positive samples from wildlife stall A, with raccoon dog and hoary bamboo rat in all five, Malayan porcupine in four, and masked palm civet in one. WHO/SAGO calls this the most compelling evidence of a possible spillover and notes that the animals were present before closure. The claim as stated is co-occurrence, not infection, and that is what the reads show. Strongest opposing consideration: the authors state that their data cannot conclude which species was infected, that early unreported human shedding in the same stall would look identical, and that a correlational analysis cannot reliably show infection; the result is also a reanalysis of the same Chinese CDC environmental data, not an independent stream.

The metagenomic reanalysis found wildlife mitochondrial DNA in all five SARS-CoV-2-positive samples from a wildlife stall, with raccoon dog and hoary bamboo rat in all five, Malayan porcupine in four, and masked palm civet in one, and WHO's advisory group calls this the most compelling evidence of a possible spillover. The observation is co-occurrence, not infection: the authors state that their data cannot conclude which species was infected and that early unreported human shedding would explain the pattern equally. The strongest opposing consideration is that self-limitation, together with the fact that this is a reanalysis of the same Chinese CDC environmental data, not an independent confirmation.

The metagenomic reanalysis found wildlife mtDNA in all five virus-positive samples from the wildlife stall, with raccoon dog most abundant and detection uneven across species — porcupine in four samples, civet in one. WHO's advisory group calls this the most compelling evidence of a possible spillover. The observation as stated — co-occurrence, not infection — is well supported. The strongest opposing consideration comes from the authors themselves: only zoonosis directly predicts co-detection, but their data cannot establish which species, if any, was infected, and human shedding after a zoonotic event would produce the identical pattern. The claim is true and its diagnostic ceiling is set by the people who produced it.

The co-occurrence is verified verbatim at sample level: raccoon dog and hoary bamboo rat mtDNA in all five virus-positive samples from the wildlife stall, Malayan porcupine in four, masked palm civet in one — a granularity flat species lists obscure. As a measurement it is uncontested; WHO calls it the most compelling spillover evidence available. The strongest opposing consideration comes from the authors themselves: co-presence is not infection, human shedding after a zoonotic event would produce the identical pattern, and correlational analysis cannot show which species, if any, was infected. Those limits bear on the claim's implication for C008, not on its truth as stated; the reanalysis's shared authorship and single underlying dataset are why this is well_supported rather than established.

The co-detection is stated in the published abstract and quantified in the accepted manuscript — raccoon dog and bamboo rat in all five positive stall samples, porcupine in four, civet in one — and WHO's advisory group independently calls it the most compelling spillover evidence. The strongest opposing consideration comes from the authors themselves: co-presence is not infection, and an early unreported human case shedding in the same stall would produce the identical pattern. Their further admission that correlational analysis cannot establish infection caps what this can carry. Assessed as an observation about co-occurrence, it is well supported; it must not be read as transmission.

The metagenomic reanalysis found wildlife mtDNA in all five SARS-CoV-2-positive samples from the wildlife stall, with species-level detail (raccoon dog and hoary bamboo rat in five, Malayan porcupine in four, masked palm civet in one), and WHO's advisory group independently characterises it as the most compelling spillover evidence available. The claim as worded asserts co-occurrence only, which is exactly what the data show. The strongest opposing consideration is dependence: this is a third analytic layer on the same Chinese CDC dataset with authors overlapping the epicenter paper, and the authors themselves state the data cannot identify which species, if any, was infected.

The metagenomic reanalysis reports wildlife mtDNA in all five SARS-CoV-2-positive samples from the wildlife stall, with species-level detail that is uneven rather than uniform — raccoon dog and hoary bamboo rat in all five, porcupine in four, civet in one. The claim as stated asserts co-occurrence, not infection, and the authors themselves state that their data cannot identify which species was infected. The strongest opposing consideration is independence and reproducibility: this is a third analytic layer on the same Chinese CDC data by an author group overlapping the epicenter paper, and low-abundance mtDNA assignment is sensitive to reference database and thresholding choices that no unaffiliated group has re-run. That bears on how much weight the finding carries, less on whether the co-detection occurred.

The co-detection is reported in the published abstract and detailed in the accepted manuscript, with uneven per-species detection recorded honestly (raccoon dog and hoary bamboo rat in all five samples, porcupine in four, civet in one), and WHO's advisory group independently characterises it as the most compelling spillover evidence available. The strongest opposing consideration is the authors' own: co-presence is not infection, their data cannot establish which species shed virus, and an early unreported human case shedding at the same stall produces an identical signature. I note the authors' asymmetry argument — only zoonosis directly predicts co-detection — is a real likelihood-ratio point, but it is weaker than it sounds once one conditions on the market being a human amplification site under either hypothesis.

The detection is established and uneven across species. Its meaning is bounded by the authors' own statement that the data cannot identify which species was infected.

The detection is established and WHO reads it as the most compelling spillover evidence available (COV-E007). Held at well_supported for the co-detection itself, with the authors' own boundary retained: these data cannot say which species, if any, was infected, and human shedding produces the same pattern (COV-E005). Opus and Kimi press exactly this bound and I record it rather than upgrading.