
It is now well recognized that considering species evolutionary history is crucial for understanding the processes driving community assembly (Cavender‐Bares et al. ). Considerable efforts have been made to integrate phylogenetics and community ecology into a single theoretical framework. Yet, assessing phylogenetic structure at the community scale remains a great challenge, in particular for poorly known organisms. While DNA metabarcoding is increasingly used for assessing taxonomic composition of complex communities from environmental samples, biases and limitations of this technique can preclude the retrieval of information on phylogenetic community structure. In this issue of Molecular Ecology, Andújar et al. (2015) demonstrate that shotgun sequencing of bulk samples of soil beetles and subsequent reconstruction of mitochondrial genomes can provide a solid phylogenetic framework to estimate species diversity and gain insights into the mechanisms underlying the spatial turnover of soil mesofaunal assemblages. This work highlights the enormous potential of ‘metagenome skimming’ not only for improving the current standards of DNA‐based biodiversity assessment but also for opening up the application of phylogenetic community ecology to hyperdiverse and poorly known biota, which was heretofore inconceivable.
genome skimming, Science, Ecology and Evolutionary Biology, soil biodiversity, phylogenomics, Biodiversity, Biota, DNA, Mitochondrial, organellar metagenomics, NGS, metabarcoding, Animals, Metagenomics, Phylogeny
genome skimming, Science, Ecology and Evolutionary Biology, soil biodiversity, phylogenomics, Biodiversity, Biota, DNA, Mitochondrial, organellar metagenomics, NGS, metabarcoding, Animals, Metagenomics, Phylogeny
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 23 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
