The transition from a free-living lifestyle to endosymbiosis represents a large evolutionary shift, impacting various aspects of any organism’s biology, including its molecular basis. So far, it has been impossible to generalise the impact this lifestyle shift has on genomic architecture. This study explores this phenomenon using a new model system: neodalyellid flatworms (Rhabdocoela), a diverse assemblage of free-living and independently evolved endosymbiotic lineages. A uniquely comprehensive mitochondrial genomic dataset, consisting of 50 complete or partial mitogenome sequences (47 of which are new to science), is constructed, increasing the genomic resources available for rhabdocoel flatworms over tenfold. A robust phylogenomic framework is built, enabling an in-depth exploration of the molecular-genetic signatures associated with evolutionary shifts towards endosymbiosis. To understand speciation influenced by host phylogeny, first steps are taken to unravel the host-switching history of the largest endosymbiotic group of neodalyellids. We test several hypotheses regarding the potential consequences of a symbiotic lifestyle, and find heightened AT content, more pronounced AT skew, and relaxed selection on specific protein-coding genes in endosymbionts compared to their free-living counterparts. Numerous substitutions have accumulated in certain endosymbiotic lineages; however, the correlation with lifestyle remains uncertain. A high frequency of genetic rearrangements across all studied lineages is observed. Our findings affirm the variable nature of rhabdocoel mitogenomes and, for the first time, reveal distinct signatures of an endosymbiotic lifestyle in neodalyellid flatworms. This effort lays the groundwork for future research into the evolutionary and genomic consequences of a symbiotic lifestyle in this and other animal systems.

Published literature suggests that indigenous cultural practices, specifically traditional medicine, are commonplace among urban communities contrary to the general conception that such practices are associated to rural societies. We reviewed literature for records of herptiles sold by traditional health practitioners in urban South Africa, then used visual confirmation surveys, DNA barcoding, and folk taxonomy to identify the herptile species that were on sale. Additionally, interviews with 11 SePedi and IsiZulu speaking traditional health practitioners were used to document details of the collection and pricing of herptile specimens along with the practitioners’ views of current conservation measures aimed at traditional medicine markets. The herptile specimens sold by traditional health practitioners included endangered and non-native species. The absorbance ratios of DNA extracted from the tissue of herptiles used in traditional medicine were found to be unreliable predictors of whether those extractions would be suitable for downstream applications. From an initial set of 111 tissue samples, 81 sequencing reactions were successful and 55 of the obtained sequences had species level matches to COI reference sequences on the NCBI GenBank and/or BOLD databases. Molecular identification revealed that traditional health practitioners sometimes mislabel the species they use. The mixed methodology employed here is useful for conservation planning as it updates knowledge of animal use in indigenous remedies and can accurately identify species of high conservation priority. Furthermore, the study highlights the possibility of collaborative conservation planning with traditional health practitioners.

African Great Lakes and their fauna are among the prime model systems for evolutionary research. Lake Tanganyika is the second deepest lake in the world and its permanently stratified, relatively species-poor and well-delimited pelagic zone offers a simple model for ecosystem dynamics of open water areas worldwide. In our study, we focused on mitogenomic differentiation of directly transmitted parasites (Monogenea, Kapentagyrus) infecting two species of pelagic clupeid fishes across two subbasins of Lake Tanganyika, to unravel patterns of migration and population dynamics in the pelagic zone of large water bodies. Starting from pooled population samples, altogether containing more than 800 specimens, we provide the first population-genomic study on any parasite in the African Great Lakes. Our results indicate a lack of spatial population structuring in Kapentagyrus tanganicanus infecting its two clupeid hosts. In Kapentagyrus limnotrissae, a parasite specific to only one of the two clupeid hosts, spatial and seasonal restriction in gene flow are observed. Contrasting patterns in spatial population structuring between K. tanganicanus and K. limnotrissae reflect their differences in host range and in the life histories, migration and habitat preference of their respective hosts. This is a proof-of-concept of how parasites can be reliable tags for hardly traceable hosts, in this case indicating host and parasite connectivity throughout the hosts’ spatial distribution. Comparison of population-genetic parameters based on individual specimens versus pooled samples proofs PoolSeq as a suitable method in (mito)genomics of minute taxa that are hard to access in the field.

Many species-rich ecological communities result from adaptive radiation events. The effects of these explosive speciation events on community assembly remain poorly understood. Here, we explore the well-documented radiations of African cichlid fishes and interactions with their flatworm gill parasites (Cichlidogyrus spp.) including 10529 reported infections and 477 different host-parasite combinations collected through a survey of peer-reviewed literature. We assess the evolutionary, ecological, and morphological parameters on meta-communities partially affected by adaptive radiation evens using network metrics, host repertoire measures, and network link prediction (NLP). The hosts’ evolutionary history mostly determined host repertoires. Ecological and evolutionary parameters predicted host-parasite associations, but many interactions remain undetected according to NLP. Parasite meta-communities under host adaptive radiation are more specialised and stable while ecological opportunity and ecological fitting have shaped interactions elsewhere. The cichlid-Cichlidogyrus network is a suitable eco-evolutionary study system but future studies should validate our findings in other radiating host-parasite systems.

Hosts and parasites have often intimate associations. Therefore, the evolution of their interactions is crucial for understanding species-rich host-parasite communities. Yet relatively few studies investigate eco-evolutionary feedbacks in these systems as large datasets remain scarce. Here, we explore African cichlid fishes and their flatworm gill parasites (Cichlidogyrus spp.) including 9901 reported infections and 473 different host-parasite combinations collected through a survey of peer-reviewed literature. We apply network metrics, estimate host repertoires, and use network link prediction (NLP) algorithms to investigate meta-community structures and their predictors including evolutionary, ecological, and morphological parameters. Host repertoire was mostly determined by the hosts’ evolutionary history. Both ecological and evolutionary parameters predicted host parasite associations but many interactions remain undetected according to NLP. We conclude that ecological opportunity paired with ecological fitting has shaped interactions. The cichlid-Cichlidogyrus network is a suitable study system for eco-evolutionary feedbacks but taxonomic research remains key to finding undetected interactions.