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Mitochondrial metagenomics: letting the genes out of the bottle

期刊

GIGASCIENCE
卷 5, 期 -, 页码 -

出版社

OXFORD UNIV PRESS
DOI: 10.1186/s13742-016-0120-y

关键词

Shotgun sequencing; Illumina; Biodiversity; Phylogenetics; Community ecology; Genome assembly

资金

  1. Biodiversity Initiative of the Natural History Museum
  2. Natural History Museum/University College London PhD fellowship
  3. Yunnan Province [20080A001]
  4. Chinese Academy of Sciences [0902281081, KSCX2-YW-Z-1027]
  5. National Natural Science Foundation of China [31170498]
  6. Ministry of Science and Technology of China [2012FY110800]
  7. University of East Anglia
  8. State Key Laboratory of Genetic Resources and Evolution at the Kunming Institute of Zoology
  9. National Key Technologies R&D Programme of China [2012BAK11B06]
  10. National High-Tech R&D Programme of China - 863 Programme [2012021601]
  11. Science and Technology Innovation of CAS, iFlora Cross and Cooperation Team [31129001]
  12. Natural Environment Research Council [NE/M021696/1] Funding Source: researchfish
  13. NERC [NE/M021696/1] Funding Source: UKRI

向作者/读者索取更多资源

Mitochondrial metagenomics' (MMG) is a methodology for shotgun sequencing of total DNA from specimen mixtures and subsequent bioinformatic extraction of mitochondrial sequences. The approach can be applied to phylogenetic analysis of taxonomically selected taxa, as an economical alternative to mitogenome sequencing from individual species, or to environmental samples of mixed specimens, such as from mass trapping of invertebrates. The routine generation of mitochondrial genome sequences has great potential both for systematics and community phylogenetics. Mapping of reads from low-coverage shotgun sequencing of environmental samples also makes it possible to obtain data on spatial and temporal turnover in whole-community phylogenetic and species composition, even in complex ecosystems where species-level taxonomy and biodiversity patterns are poorly known. In addition, read mapping can produce information on species biomass, and potentially allows quantification of within-species genetic variation. The success of MMG relies on the formation of numerous mitochondrial genome contigs, achievable with standard genome assemblers, but various challenges for the efficiency of assembly remain, particularly in the face of variable relative species abundance and intra-specific genetic variation. Nevertheless, several studies have demonstrated the power of mitogenomes from MMG for accurate phylogenetic placement, evolutionary analysis of species traits, biodiversity discovery and the establishment of species distribution patterns; it offers a promising avenue for unifying the ecological and evolutionary understanding of species diversity.

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