2022
DOI: 10.1371/journal.pcbi.1010621
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Phylogenetic reconciliation

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Cited by 11 publications
(2 citation statements)
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“…Although most attention has been focused on reconciliation of gene and species trees, phylogenetic reconciliation has the potential to be applied to other systems with similar hierarchical relationships [ 8 ]. Of potential interest to microbial ecologists is the use of phylogenetic reconciliation to model host-symbiont coevolution and the evolution of microbiome composition over time, where the symbionts are the “genes” and the host is the “species.” The approach could be used to determine the extent and timescale of host-symbiont coevolution and to identify host (or symbiont) switching events [ 99 , 100 ].…”
Section: Modelling Microbial Evolutionmentioning
confidence: 99%
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“…Although most attention has been focused on reconciliation of gene and species trees, phylogenetic reconciliation has the potential to be applied to other systems with similar hierarchical relationships [ 8 ]. Of potential interest to microbial ecologists is the use of phylogenetic reconciliation to model host-symbiont coevolution and the evolution of microbiome composition over time, where the symbionts are the “genes” and the host is the “species.” The approach could be used to determine the extent and timescale of host-symbiont coevolution and to identify host (or symbiont) switching events [ 99 , 100 ].…”
Section: Modelling Microbial Evolutionmentioning
confidence: 99%
“…As with any kind of data analysis, the accuracy of phylogenetic reconciliation depends on the algorithms used and the assumptions they make about the processes of evolution [ 7 ]. There has been substantial progress in method development in recent years [ 8 ], including the development of methods that can accommodate uncertainty in the evolutionary history of single genes [ 9–11 ], incomplete lineage sorting [ 12 ], and that allow the inferred rates of gene duplication, transfer, and loss (DTL) to vary across the species tree [ 4 ], resulting in more sophisticated software packages for performing these analyses. Here, we first review how reconciliation methods work and argue that they provide a natural framework for modelling microbial genome evolution.…”
Section: Introductionmentioning
confidence: 99%