Evidence map›Paper›PMID 33437437›Full record

ArticleEcology and evolution2021

An efficient pipeline for ancient DNA mapping and recovery of endogenous ancient DNA from whole-genome sequencing data.

Wenhao Xu, Yu Lin, Keliang Zhao, Haimeng Li, Yinping Tian, Jacob Njaramba Ngatia, Yue Ma, Sunil Kumar Sahu, Huabing Guo, Xiaosen Guo and 5 more

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. The Genomic Legacy of the Norman Conquest in Rural England.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Anthropocene genetic diversity loss in the marine tropics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Review
  9. Unravelling reference bias in ancient DNA datasets.Bioinformatics (Oxford, England) · 2024
    Article
  10. Article
  11. Additional evaluations show that specificEcology and evolution · 2021
    Article
  12. 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

15 authors at 4 institutions in 2 countries.

Wenhao XuInstitute of Vertebrate Paleontology and Paleoanthropology Chinese Academy of Sciences Beijing China.ORCID https://orcid.org/0000-0002-3919-1030
Yu LinState Key Laboratory of Agricultural Genomics BGI-Shenzhen Shenzhen China.
Keliang ZhaoInstitute of Vertebrate Paleontology and Paleoanthropology Chinese Academy of Sciences Beijing China.
Haimeng LiState Key Laboratory of Agricultural Genomics BGI-Shenzhen Shenzhen China.
Yinping TianState Key Laboratory of Agricultural Genomics BGI-Shenzhen Shenzhen China.
Jacob Njaramba NgatiaCollege of Wildlife Resources Northeast Forestry University Harbin China.
Yue MaCollege of Wildlife Resources Northeast Forestry University Harbin China.
Sunil Kumar SahuState Key Laboratory of Agricultural Genomics BGI-Shenzhen Shenzhen China.
Huabing GuoForest Inventory and Planning Institute of Jilin Province Changchun China.
Xiaosen GuoState Key Laboratory of Agricultural Genomics BGI-Shenzhen Shenzhen China.
Yan Chun XuCollege of Wildlife Resources Northeast Forestry University Harbin China.
Huan LiuState Key Laboratory of Agricultural Genomics BGI-Shenzhen Shenzhen China.
Karsten KristiansenState Key Laboratory of Agricultural Genomics BGI-Shenzhen Shenzhen China.
Tianming LanState Key Laboratory of Agricultural Genomics BGI-Shenzhen Shenzhen China.
Xinying ZhouInstitute of Vertebrate Paleontology and Paleoanthropology Chinese Academy of Sciences Beijing China.
BGI Group (China) · CNChinese Academy of Sciences · CNNortheast Forestry University · CNJiangxi Province Forestry Survey Planning Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ancient DNA research has developed rapidly over the past few decades due to improvements in PCR and next-generation sequencing (NGS) technologies, but challenges still exist. One major challenge in relation to ancient DNA research is to recover genuine endogenous ancient DNA sequences from raw sequencing data. This is often difficult due to degradation of ancient DNA and high levels of contamination, especially homologous contamination that has extremely similar genetic background with that of the real ancient DNA. In this study, we collected whole-genome sequencing (WGS) data from 6 ancient samples to compare different mapping algorithms. To further explore more effective methods to separate endogenous DNA from homologous contaminations, we attempted to recover reads based on ancient DNA specific characteristics of deamination, depurination, and DNA fragmentation with different parameters. We propose a quick and improved pipeline for separating endogenous ancient DNA while simultaneously decreasing homologous contaminations to very low proportions. Our goal in this research was to develop useful recommendations for ancient DNA mapping and for separation of endogenous DNA to facilitate future studies of ancient DNA.

Indexed as

ancient DNABWA memdeaminationDNA damagegenome mapping

Identifiers

PMID33437437
PMCPMC7790629
OpenAlexW3114070225

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.