Dietary specialization stands as a major factor in the study of adaptive evolution and the field of conservation biology among animals. Although bats show unparalleled dietary diversification among mammals, specialized carnivory remains relatively rare within this group. Consequently, our comprehension of the genetic and conservation aspects associated with this specific dietary niche in bats has largely remained uncharted. To investigate molecular adaptations and conservation genetics in carnivorous bats, we produced a new draft genome assembly for the carnivorous bat Vampyrum spectrum. Furthermore, we utilized this genome alongside another distantly related carnivorous bat Megaderma lyra, to conduct genome-wide comparative analyses with other bat species. Our findings unveil that genes linked to lipid metabolism exhibit signatures of positive selection and convergent molecular adaptation in the two divergent lineages of carnivorous bats. Intriguingly, we have uncovered that the evolution of dietary specialization in carnivorous bats is accompanied by molecular adaptations acting on genes in the peroxisome proliferator-activated receptors pathways, which are crucial in regulating plasma lipid metabolism and sustaining lipid homeostasis. Additionally, our genomic analyses also reveal low genetic diversity in both carnivorous bat species. This pattern is attributed to their continuously declining population sizes and low levels of heterozygosity, signaling their vulnerability and emphasizing the pressing need for conservation efforts. These genomic discoveries advance our understanding of genetic underpinnings of carnivory in bats and underscore substantial conservation concerns associated with carnivorous bat species.

In the Mountains of Southwest China (MSC), accelerated diversification triggered by mountain uplift and monsoon intensification in the Miocene is widely revealed, but less is known about the stage after the Pliocene. Thus, the tempo‐spatial evolution of the endemism of Gaoligong Shan (GLGS), a young and isolated mountain with the highest biodiversity in the MSC, was determined. Temporal patterns were inferred by the stem ages of the endemic species and spatial patterns were inferred through ancestral area reconstructions and the distributions of the sister taxa. Temporally, the calibrated origin times of 114 phylogenetically well resolved endemic species (75 plants, 33 animals and six fungi) ranged from the early Miocene to the Holecene. Spatially, 82 centric origin species (mean = 3.08 Ma) were significantly younger than 32 eccentric origin species (6.84 Ma). Eccentric origins accumulated smoothly while centric origins burst after the late Pliocene, especially after the Pleistocene (n = 52). In centric origins, most of the sister taxa showed sympatric (n = 47) or allopatric (n = 23) distributions in the GLGS. The eccentric origins were mainly dispersed from the southern lower latitude region (n = 20). Principle component analysis indicated that niche conservatism exerted greater contribution to the speciation of the endemic species. Uplift of the GLGS and monsoon intensification during the late Pliocene accelerated the formation of its endemism. The “Species pump” effect of the Pleistocene climatic fluctuations is further revealed. Speciation triggered by geological isolation by mountain and river barriers through niche conservatism exceeds adaptive evolution.

Understanding the factors contributing to genetic structure among closely related sympatric species is crucial for grasping adaptive divergence and speciation initiation. We focused on three dioecious fig trees (Ficus hispida, Ficus heterostyla, and Ficus squamosa) that constitute a clade of closely related species pollinated by closely related Ceratosolen wasps. Analyzing microsatellite data (64 sampling locations) and chemical volatiles for fig trees and inferring the phylogenetic relationships of their pollinating wasps, we show that despite sharing of a large proportion of volatile compounds and a few exchanges of pollinators, all species maintain genetic and morphological integrity. Admixture of F. heterostyla and F. hispida in F. squamosa is detected at its distribution margin. Two genetically distinct clusters of F. heterostyla, possibly indicating cryptic fig species pollinated by distinct pollinators, are highlighted. Ficus hispida is genetically homogeneous over its studied range but associated with at least three pollinator species. Life history traits of each Ficus species (fruiting mode, population density, flowering pattern, habitat preference) and seed dispersal mode (hydrochorous, zoochorous) are discussed together with elements on the morphology and biology of their pollinators to explain observed results. This study contributes to our understanding of how species in the fig–wasp mutualism diversify and coexist.

Large phylogenies derived from publicly available genetic sequences are becoming a popular and indispensable tool in addressing core questions in ecology and evolution, as well as in tackling challenging conservation issues. Optimizing taxonomic coverage and data quality is essential for improving the precision and reliability of phylogenetic reconstructions and evolutionary inferences. Here we present PyNCBIminer, a user-friendly software that automates the assembly of large DNA data sets from GenBank for phylogenetic reconstruction using the supermatrix method. PyNCBIminer uses the iterative BLAST procedure to retrieve genetic sequences accurately and efficiently from GenBank. The state-of-the-art strategies also serve to improve taxa coverage and the quality of target DNA markers. PyNCBIminer is designed to efficiently handle large data sets, but it is also suitable for medium and small data sets. It is open source and freely available at GitHub (https://github.com/Xiaoting-Xu/PyNCBIminer) and Gitee (https://gitee.com/xiaotingxu/PyNCBIminer). Its utility and performance are demonstrated through the assembly of phylogenetic data sets encompassing several genetic markers of varying sizes for the angiosperm order Dipsacales. PyNCBIminer holds an advantage over similar programs in that it performs the majority of computations on the NCBI server, eliminating the need for users to build and maintain large local databases and reducing the demands on their computers. In addition, it integrates other commonly used phylogenetic analysis software, providing users from various backgrounds with convenient options for retrieving and assembling GenBank sequence data, along with flexible features that allow for user-defined parameters and strategies.

Geological and climatic events frequently represent the primary explanations to describe evolutionary processes among species. Freshwater fishes have been used previously as models to uncover evolutionary and historical biogeographic patterns in central Mexico, hydrologic systems and biotas. Xenotoca variata (Cyprinodontiformes: Goodeidae) is one of the most widely distributed species across central Mexico. The species represents a highly dimorphic and sexually selective species. In this study, the phylogenetic and phylogeographic patterns of populations of X. variata, using one mitochondrial locus (cytb) and three nuclear loci (S7, RHO, and RAG1), were described in order to understand the evolutionary history of the species throughout its distributional range. Two well‐defined and highly supported clades were recovered with all analyses and genes studied, with an estimated divergence time of ca. 2.42 Mya, corroborating the existence of an independent evolutionary unit in Cuitzeo Lake and its recognition as a putative new species. Also, a phylogeographic structure in two genes was found within the widely distributed clades. The role played by climate change events and geological history as well as the possible influence of reproductive traits in the phylogeographic pattern of the species are discussed.

A robust and stable phylogenetic framework is a fundamental goal of evolutionary biology. As the third largest insect order, Lepidoptera (butterflies and moths) are central to terrestrial ecosystems and serve as important models for biologists studying ecology and evolutionary biology. However, for such an insect group, the higher-level phylogenetic relationships among its superfamilies remain poorly resolved. Here, we increased taxon sampling among Lepidoptera (37 superfamilies and 68 families containing 263 taxa), obtaining a series of amino-acid data sets from 69 680 to 400 330 aa in length for phylogenomic reconstructions. Using these data sets, we explored the effect of different taxon sampling with significant increases in gene loci on tree topology using maximum-likelihood (ML) and Bayesian inference (BI) methods. Moreover, we also tested the effectiveness of topology robustness among the three ML-based models. The results demonstrated that taxon sampling is an important determinant in tree robustness of accurate phylogenetic estimation for species-rich groups. Site-wise heterogeneity was identified as a significant source of bias, causing inconsistent phylogenetic positions among ditrysian lineages. The application of the posterior mean site frequency (PMSF) model provided reliable estimates for higher-level phylogenetic relationships of Lepidoptera. Phylogenetic inference presented a comprehensive framework among lepidopteran superfamilies, and revealed some new sister relationships with strong supports (Papilionoidea is sister to Gelechioidea, Immoidea is sister to Galacticoidea, and Pyraloidea is sister to Hyblaeoidea, respectively). The current study provides essential insights for future phylogenomic investigations in species-rich lineages of Lepidoptera and enhances our understanding on phylogenomics of highly diversified groups.