The interplay between host biogeography and phylogeny in structuring diversification of the feather louse genus Penenirmus

Johnson, Kevin P.; Weckstein, Jason D.; Herrera, Stephany Virrueta; Doña, Jorge

doi:10.1016/j.ympev.2021.107297

Cited by 19 publications

(26 citation statements)

References 67 publications

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“…We followed Johnson et al . ( 34 ) for genomic sequencing of lice. Specifically, for each louse species and 25 outgroup taxa (Anoplura, Trichodectera, Rhynchopthirina, and Amblycera) (table S2), we did single specimen-based genomic DNA extractions, prepared Illumina libraries, and sequenced them on an Illumina NovaSeq sequencer to achieve at least 30–60x coverage of the nuclear genome.…”

Section: Methodsmentioning

confidence: 99%

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Nano-computed tomography reveals repeated phenotypic divergence in parasites to escape host defense

Kolencik

Stanley

Punnath

et al. 2023

Preprint

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Understanding how selective pressures drive morphological change is a central question in evolutionary biology. Feather lice have repeatedly diversified into convergent ecomorphs, based on how they escape from host defenses in different microhabitats. Here, we used nano-computed tomography scan data of 89 specimens of feather lice, belonging to four ecomorph groups to quantify variation of functional traits, including mandibular muscle volume, limb length, and three-dimensional head shape data in these tiny insects. The results suggest that the shape of the head, the proportional volume of the chewing muscles, and the length of the leg segments in feather lice are all strongly associated with specific host-habitats. Further, species that co-occur on hosts have increased rates of morphological evolution, suggesting competition for host space is one of the drivers of morphology. This supports previous work indicating that the phenotypic diversity of feather lice is the result of repeated convergence resulting from resource partitioning, microhabitat specialization, and selection pressures imposed by host defense.

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Section: Methodsmentioning

confidence: 99%

“…After assembly, we removed intron sequences using an Exonerate-based ( 38 ) stitching pipeline (atram_stitcher) that identifies exon sequences and stitches them together ( 39 ). The whole assembly and phylogenomic pipeline, including processing steps, parameters, and commands, followed previous studies ( 34, 40 ).…”

Section: Methodsmentioning

confidence: 99%

Nano-computed tomography reveals repeated phenotypic divergence in parasites to escape host defense

Kolencik

Stanley

Punnath

et al. 2023

Preprint

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“…We estimated ultrafast bootstrap support values with UFBoot2 (Hoang et al, 2017). Finally, we also computed the percent pairwise sequence divergences among all the COI sequences (using the R function dist.dna, model “raw,” pairwise.deletion = T from APE v5.5, Paradis and Schliep, 2018) and looked at their distribution to identify likely cryptic species, which indicated a 5% uncorrected p-distance threshold would be appropriate, as in prior studies of lice (Johnson et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

“…As in prior cophylogenetic studies, we used costs of duplication: 1, sorting: 1, and host-switching: 2. This is the cost scheme used by most published cophylogenetic studies of lice, as well as other groups of ectosymbionts (Doña et al, 2017;Matthews et al, 2018;Sweet and Johnson, 2018;Johnson et al, 2021Johnson et al, , 2022Boyd et al, 2022). For the host tree, we obtained phylogenetic information from a prior phylogenomic study (Boyd et al, 2022).…”

Section: Phylogenomic Analysesmentioning

confidence: 99%

“…We produced an ultrametric tree using the least square dating (LSD2) method implemented in IQ-TREE (To et al, 2016). Because there are no currently known fossilized lice within Ischnocera, we used terminal cospeciation events between sister pairs of doves and lice (above) as calibration points for molecular dating (Johnson et al, 2021(Johnson et al, , 2022. Specific cospeciation events that were used as calibration points can be found at Table S2 (see Supplemental information).…”

Section: Dating Analysismentioning

confidence: 99%

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Host body size, not host population size, predicts genome-wide effective population size of parasites

Doña

Johnson

2022

Preprint

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The effective population size (Ne) of an organism is expected to be proportional to the total number of individuals in a population (Frankham, 1995). In parasites, we might expect the effective population size to be proportional to host population size and host body size, because both are expected to increase the number of parasite individuals (Barret et al., 2008). However, parasite populations are sometimes so extremely subdivided that high levels of inbreeding may distort these relationships (Huyse et al., 2005). Here, we used whole-genome sequence data from dove parasites (71 feather louse species of the genus Columbicola) and phylogenetic comparative methods to study the relationship between parasite effective population size and host population size and body size. We found parasite effective population size is largely explained by host body size but not host population size. These results suggest the subdivided nature of parasite populations, rather than the overall number of parasites, has a stronger influence on the effective population size of parasites.

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Molecular phylogenetics of the sucking louse genus Lemurpediculus (Insecta: Phthiraptera), ectoparasites of lemurs, with descriptions of three new species

Springer¹,

Durden²,

Kiene³

et al. 2023

International Journal for Parasitology: Parasites and Wildlife

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The interplay between host biogeography and phylogeny in structuring diversification of the feather louse genus Penenirmus

Cited by 19 publications

References 67 publications

Nano-computed tomography reveals repeated phenotypic divergence in parasites to escape host defense

Nano-computed tomography reveals repeated phenotypic divergence in parasites to escape host defense

Host body size, not host population size, predicts genome-wide effective population size of parasites

Molecular phylogenetics of the sucking louse genus Lemurpediculus (Insecta: Phthiraptera), ectoparasites of lemurs, with descriptions of three new species

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