Proceedings of the Royal Society B Biological Sciences · 2017 · 199 citations · 97 references
Life SciencesEcologyEvolutionary BiologyBiogeographyEvolutionary EcologyPhylogeneticsAgricultural HistoryDomesticationInsect OriginsInsect PhylogeneticsInsect PhylogenyPhylogenomic AnalysisAnt-plant InteractionsHabitat Preference ReconstructionHistory Of Evolutionary ThoughtInsect Evolutionary HistoryPhylogenetic ExplanationPhylogenomic InferencePlant Evolutionary HistoryUltra-conserved Elements
The evolution of ant agriculture, as practised by the fungus-farming 'attine' ants, is thought to have arisen in the wet rainforests of South America about 55-65 Ma. Most subsequent attine agricultural evolution, including the domestication event that produced the ancestor of higher attine cultivars, is likewise hypothesized to have occurred in South American rainforests. The 'out-of-the-rainforest' hypothesis, while generally accepted, has never been tested in a phylogenetic context. It also presents a problem for explaining how fungal domestication might have occurred, given that isolation from free-living populations is required. Here, we use phylogenomic data from ultra-conserved element (UCE) loci to reconstruct the evolutionary history of fungus-farming ants, reduce topological uncertainty, and identify the closest non-fungus-growing ant relative. Using the phylogeny we infer the history of attine agricultural systems, habitat preference and biogeography. Our results show that the out-of-the-rainforest hypothesis is correct with regard to the origin of attine ant agriculture; however, contrary to expectation, we find that the transition from lower to higher agriculture is very likely to have occurred in a seasonally dry habitat, inhospitable to the growth of free-living populations of attine fungal cultivars. We suggest that dry habitats favoured the isolation of attine cultivars over the evolutionary time spans necessary for domestication to occur.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Full-length transcriptome assembly from RNA-Seq data without a reference genome
Manfred Grabherr, Brian J. Haas, Moran Yassour et al. · Nature Biotechnology · 2011 · 22.6K citations · Full text