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PreprintCC BY 4.0EcoEvoRxiv

Geographic blind spots in an extreme environment microbiome catalog

Abstract

Jiang et al. present the Extreme Environment Microbiome Catalog (EEMC), comprising 78,213 bacterial and archaeal genomes, as a global resource for microbial diversity and antimicrobial discovery. Its scale and experimental peptide characterization are substantial contributions. However, a global framing requires evidence that regional data were systematically sought, rather than simply aggregated. A targeted accession audit identifies public datasets whose project identifiers are absent from the published EEMC project list, including datasets from Latin America, Africa and the Global North. These findings identify regional evidence requiring reconciliation with catalog holdings and eligibility criteria; they do not establish whether exclusion rates differ between regions.

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BibTeX
@misc{chavez2026geographic,
  title = {{Geographic blind spots in an extreme environment microbiome catalog}},
  author = {Francisco Chávez},
  howpublished = {EcoEvoRxiv},
  year = {2026},
  month = oct,
  doi = {10.32942/x2sq5w},
  url = {https://ecoevorxiv.org/repository/view/15522/},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Geographic blind spots in an extreme environment microbiome catalog
AU  - Francisco Chávez
PY  - 2026
DA  - 2026/10/15
PB  - EcoEvoRxiv
DO  - 10.32942/x2sq5w
UR  - https://ecoevorxiv.org/repository/view/15522/
AB  - Jiang et al. present the Extreme Environment Microbiome Catalog (EEMC), comprising 78,213 bacterial and archaeal genomes, as a global resource for microbial diversity and antimicrobial discovery. Its scale and experimental peptide characterization are substantial contributions. However, a global framing requires evidence that regional data were systematically sought, rather than simply aggregated. A targeted accession audit identifies public datasets whose project identifiers are absent from the published EEMC project list, including datasets from Latin America, Africa and the Global North. These findings identify regional evidence requiring reconciliation with catalog holdings and eligibility criteria; they do not establish whether exclusion rates differ between regions.
ER  -