Lice are considered a model system for studying the process of cospeciation because they are obligate and permanent parasites and are often highly host‐specific. Among lice, species in the family Echinophthiriidae Enderlein (Anoplura) are unique in that they infest mammalian hosts with an amphibious lifestyle, i.e. pinnipeds and the river otter. There is evidence that the ancestor of this group infested the terrestrial ancestor of pinnipeds, which suggests these parasites coevolved with their hosts during the transition to marine environments. However, there has been no previous study investigating the phylogenetic relationships among sucking lice parasitizing seals and sea lions. To uncover the evolutionary history of these parasites, we obtained genomic data for Antarctophthirus microchir Trouessart and Neumann (from two hosts), Antarctophthirus carlinii Leonardi et al., Antarctophthirus lobodontis Enderlein, Antarctophthirus ogmorhini Enderlein, Lepidophthirus macrorhini Enderlein, and Proechinophthirus fluctus Ferris. From genomic sequence reads, we assembled > 1000 nuclear genes and used these data to infer a phylogenetic tree for these lice. We also used the assembled genes in combination with read‐mapping to estimate heterozygosity and effective population size from individual lice. Our analysis supports the monophyly of lice from pinnipeds and uncovers phylogenetic relationships within the group. Surprisingly, we found that A. carlinii, A. lobodontis, and A. ogmorhini have very little genetic divergence among them, whereas the divergence between different geographic representatives of A. microchir indicate that they are possibly different species. Nevertheless, our phylogeny of Echinophthiriidae suggests that these lice have consistently codiverged with their hosts with minimal host switching. Population genomic metrics indicate that louse effective population size is linked to host demographics, which further highlights the close association between pinnipeds and their lice.
Psocodea (booklice and parasitic lice) is an order of insects containing species with extensive mitochondrial genome rearrangements, particularly within the suborder Troctomorpha, in which some species possess an extremely fragmented mitochondrial genome with several small minichromosomes. In the remaining suborders of Psocodea, there are groups with the ancestral pancrustacean arrangement, quite extensive rearrangements (e.g. Trogiomorpha), or in which the small number of species analysed to date have rearrangements of only a few protein‐coding genes and/or tRNAs (e.g. Psocomorpha). Despite the apparent high rate of rearrangements in the order as a whole, a small number of complete mitochondrial genomes are available, especially for suborder Psocomorpha, the largest free‐living suborder. To understand the evolution of the gene arrangement of the mitochondrial genome within Psocomorpha and its phylogenetic implications, we assembled and analysed the mitochondrial genomes of 33 species of bark lice belonging to nine families in two infraorders. Within the infraorder Homilopsocidea, four families were analysed, mainly from Lachesillidae (which included 22 species of this family). Within the infraorder Caeciliusetae, seven species representing five families were analysed. Mitochondrial gene rearrangements were identified in seven of the nine families. Some of these rearrangements were unique to a single species, while some contained phylogenetic signal, being shared by related species. These rearrangements typically corresponded to transpositions and inversions of tRNAs, possibly caused by tandem duplication–random loss (TDRL) and/or recombination events. Phylogenetic analyses of mitochondrial gene sequences provided phylogenetic resolution for several branches of the tree, including monophyly of Lachesillinae. The genus Hemicaecilius Enderlein was found to be embedded within the genus Lachesilla Westwood, rending the latter paraphyletic. Monophyly was also never recovered for Lachesillidae and Elipsocidae as currently defined. However, instability was observed for some higher level relationships within Psocomorpha, including the relationships among the major clades of Lachesillidae.
The order Psocodea includes the two historically recognized groups Psocoptera (free-living bark lice) and Phthiraptera (parasitic lice) that were once considered separate orders. Psocodea is divided in three suborders: Trogiomorpha, Troctomorpha, and Psocomorpha, the latter being the largest within the free-living groups. Despite the increasing number of transcriptomes and whole genome sequence (WGS) data available for this group, the relationships among the six known infraorders within Psocomorpha remain unclear. Here, we evaluated the utility of a bait set designed specifically for parasitic lice belonging to suborder Troctomorpha to extract UCE loci from transcriptome and WGS data of 55 bark louse species and explored the phylogenetic relationships within Psocomorpha using these UCE loci markers. Taxon sampling was heavily focused on the families Lachesillidae and Elipsocidae, whose relationships have been problematic in prior phylogenetic studies. We successfully recovered a total of 2,622 UCE loci, with a 40% completeness matrix containing 2,081 UCE loci and an 80% completeness matrix containing 178 UCE loci. The average number of UCE loci recovered for the 55 species was 1,401. The WGS data sets produced a larger number of UCE loci (1,495) on average than the transcriptome data sets (972). Phylogenetic relationships reconstructed with Maximum Likelihood and coalescent-based analysis were concordant regarding the paraphyly of Lachesillidae and Elipsocidae. Branch support values were generally lower in analyses that used a fewer number of loci, even though they had higher matrix completeness.
While interspecific variation in microbiome composition can often be readily explained by factors such as host species identity, there is still limited knowledge of how microbiomes vary at scales lower than the species level (e.g., between individuals or populations). Here, we evaluated variation in microbiome composition of individual parasites among infrapopulations (i.e., populations of parasites of the same species living on a single host individual). To address this question, we used genome-resolved and shotgun metagenomic data of 17 infrapopulations (balanced design) of the permanent, bloodsucking seal louse Echinophthirius horridus sampled from individual Saimaa ringed seals Pusa hispida saimensis. Both genome-resolved and read-based metagenomic classification approaches consistently show that parasite infrapopulation identity is a significant factor that explains both qualitative and quantitative patterns of microbiome variation at the intraspecific level. This study contributes to the general understanding of the factors driving patterns of intraspecific variation in microbiome composition, especially of bloodsucking parasites, and has implications for understanding how well-known processes occurring at higher taxonomic levels, such as phylosymbiosis, might arise in these systems.
Host‐specialist parasites of endangered large vertebrates are in many cases more endangered than their hosts. In particular, low host population densities and reduced among‐host transmission rates are expected to lead to inbreeding within parasite infrapopulations living on single host individuals. Furthermore, spatial population structures of directly‐transmitted parasites should be concordant with those of their hosts. Using population genomic approaches, we investigated inbreeding and population structure in a host‐specialist seal louse (Echinophthirius horridus) infesting the Saimaa ringed seal (Phoca hispida saimensis), which is endemic to Lake Saimaa in Finland, and is one of the most endangered pinnipeds in the world. We conducted genome resequencing of pairs of lice collected from 18 individual Saimaa ringed seals throughout the Lake Saimaa complex. Our analyses showed high genetic similarity and inbreeding between lice inhabiting the same individual seal host, indicating low among‐host transmission rates. Across the lake, genetic differentiation among individual lice was correlated with their geographic distance, and assignment analyses revealed a marked break in the genetic variation of the lice in the middle of the lake, indicating substantial population structure. These findings indicate that movements of Saimaa ringed seals across the main breeding areas of the fragmented Lake Saimaa complex may in fact be more restricted than suggested by previous population‐genetic analyses of the seals themselves.
Host-specialist parasites of endangered large vertebrates are in many cases more endangered than their hosts. In particular, low population densities and reduced among-host transmission rates are expected to lead to inbreeding within parasite infrapopulations living on single host individuals. Furthermore, spatial population structures of directly-transmitted parasites should be concordant with those of their hosts. Using population genomic approaches, we investigated inbreeding and population structure in a host-specialist seal louse (Echinophthirius horridus) infesting the Saimaa ringed seal (Phoca hispida saimensis), which is endemic to Lake Saimaa in Finland, and is one of the most endangered pinnipeds in the world. We conducted genome resequencing of pairs of lice collected from 18 individual Saimaa ringed seals throughout the Lake Saimaa complex. Our analyses showed high genetic similarity and inbreeding between lice inhabiting the same individual seal host, indicating low among-host transmission rates. Across the lake, genetic differentiation among individual lice was correlated with their geographic distance, and assignment analyses revealed a marked break in the genetic variation of the lice in the middle of the lake, indicating substantial population structure. These findings indicate that movements of Saimaa ringed seals across the main breeding areas of the fragmented Lake Saimaa complex may in fact be more restricted than suggested by previous population-genetic analyses of the seals themselves.
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