Evidence map›Paper›PMID 25294837›Full record

ArticleNucleic acids research2014

Multiplex sequencing of pooled mitochondrial genomes-a crucial step toward biodiversity analysis using mito-metagenomics.

Min Tang, Meihua Tan, Guanliang Meng, Shenzhou Yang, Xu Su, Shanlin Liu, Wenhui Song, Yiyuan Li, Qiong Wu, Aibing Zhang and 1 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 138 papers.

0numbers the graph read from it
0cells of the map it votes in
138citing papers in PubMed
–field-weighted citation impact
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

138 citing papers in PubMed.

  1. Article
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  6. Complete mitochondrial genome ofMitochondrial DNA. Part B, Resources · 2026
    Article
  7. Complete mitochondrial genome of the euonymus defoliator moth,Mitochondrial DNA. Part B, Resources · 2026
    Article
  8. Complete mitochondrial genome sequence ofMitochondrial DNA. Part B, Resources · 2026
    Article
  9. Article
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  11. Article
  12. Article
  13. Article
  14. Article
  15. The complete mitochondrial genome ofMitochondrial DNA. Part B, Resources · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Drawing mitochondrial genomes with circularMT.Bioinformatics (Oxford, England) · 2024
    Article
  20. Complete Mitochondrial Genomes and Phylogenetic Analysis of GenusInternational journal of molecular sciences · 2024
    Article

78 more citing papers are in PubMed but not listed here.

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

11 authors.

Min TangChina National GeneBank, BGI-Shenzhen, Beishan Road, Beishan Industrial Zone, Yantian District, Shenzhen, Guangdong Province 518083, China.
Meihua TanChina National GeneBank, BGI-Shenzhen, Beishan Road, Beishan Industrial Zone, Yantian District, Shenzhen, Guangdong Province 518083, China University of Chinese Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing 100094, China.
Guanliang MengChina National GeneBank, BGI-Shenzhen, Beishan Road, Beishan Industrial Zone, Yantian District, Shenzhen, Guangdong Province 518083, China China University of Geosciences, 388 Lumo Road, Wuhan 430074, China.
Shenzhou YangChina National GeneBank, BGI-Shenzhen, Beishan Road, Beishan Industrial Zone, Yantian District, Shenzhen, Guangdong Province 518083, China.
Xu SuChina National GeneBank, BGI-Shenzhen, Beishan Road, Beishan Industrial Zone, Yantian District, Shenzhen, Guangdong Province 518083, China.
Shanlin LiuChina National GeneBank, BGI-Shenzhen, Beishan Road, Beishan Industrial Zone, Yantian District, Shenzhen, Guangdong Province 518083, China.
Wenhui SongChina National GeneBank, BGI-Shenzhen, Beishan Road, Beishan Industrial Zone, Yantian District, Shenzhen, Guangdong Province 518083, China.
Yiyuan LiChina National GeneBank, BGI-Shenzhen, Beishan Road, Beishan Industrial Zone, Yantian District, Shenzhen, Guangdong Province 518083, China.
Qiong WuChina National GeneBank, BGI-Shenzhen, Beishan Road, Beishan Industrial Zone, Yantian District, Shenzhen, Guangdong Province 518083, China.
Aibing ZhangCapital Normal University, Beijing 100094, China.
Xin ZhouChina National GeneBank, BGI-Shenzhen, Beishan Road, Beishan Industrial Zone, Yantian District, Shenzhen, Guangdong Province 518083, China xinzhou@genomics.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advent in high-throughput-sequencing (HTS) technologies has revolutionized conventional biodiversity research by enabling parallel capture of DNA sequences possessing species-level diagnosis. However, polymerase chain reaction (PCR)-based implementation is biased by the efficiency of primer binding across lineages of organisms. A PCR-free HTS approach will alleviate this artefact and significantly improve upon the multi-locus method utilizing full mitogenomes. Here we developed a novel multiplex sequencing and assembly pipeline allowing for simultaneous acquisition of full mitogenomes from pooled animals without DNA enrichment or amplification. By concatenating assemblies from three de novo assemblers, we obtained high-quality mitogenomes for all 49 pooled taxa, with 36 species >15 kb and the remaining >10 kb, including 20 complete mitogenomes and nearly all protein coding genes (99.6%). The assembly quality was carefully validated with Sanger sequences, reference genomes and conservativeness of protein coding genes across taxa. The new method was effective even for closely related taxa, e.g. three Drosophila spp., demonstrating its broad utility for biodiversity research and mito-phylogenomics. Finally, the in silico simulation showed that by recruiting multiple mito-loci, taxon detection was improved at a fixed sequencing depth. Combined, these results demonstrate the plausibility of a multi-locus mito-metagenomics approach as the next phase of the current single-locus metabarcoding method.

Indexed as

Genome, MitochondrialAnimalsBiodiversityComputer SimulationDrosophilaHigh-Throughput Nucleotide SequencingMetagenomicsMolecular Sequence DataSequence Analysis, DNA

Identifiers

PMID25294837
PMCPMC4267667

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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.