BUSCADOR RECOLECTA

[Usage Notes] 16S amplicon sequencing and qPCR data. This archive contains 1) raw Illumina MiSeq reads (300bp, PE, Reagent Kit v3) for all bacterial 16S V3/V4 amplicons used in our study, 2) metadata for each sample/individual, formatted as a QIIME 1.9 mapping file, 3) preprocessed data and .biom tables used to generate our results using phyloseq 1.22.3, and 4) raw data from qPCR analyses used to generate our results. We used two databases, greengenes 13_8 and SILVA NR Small Subunit v128 to assign taxonomy in our study; the filenames of preprocessed data include the database used to generate each file. Szenteczki_et_al_P_alcon_16S_sequencing_and_qPCR_data.zip, Bacterial symbionts are known to facilitate a wide range of physiological processes and ecological interactions for their hosts. In spite of this, caterpillars with highly diverse life histories appear to lack resident microbiota. Gut physiology, endogenous digestive enzymes, and limited social interactions may contribute to this pattern, but the consequences of shifts in social activity and diet on caterpillar microbiota are largely unknown. Phengaris alcon caterpillars undergo particularly dramatic social and dietary shifts when they parasitize Myrmica ant colonies, rapidly transitioning from solitary herbivory to ant tending (i.e., receiving protein‐rich regurgitations through trophallaxis). This unique life history provides a model for studying interactions between social living, diet, and caterpillar microbiota. Here, we characterized and compared bacterial communities within P. alcon caterpillars before and after their association with ants, using 16S rRNA amplicon sequencing and quantitative PCR. After being adopted by ants, bacterial communities within P. alcon caterpillars shifted substantially, with a significant increase in alpha diversity and greater consistency in bacterial community composition in terms of beta dissimilarity. We also characterized the bacterial communities within their host ants (Myrmica schencki), food plant (Gentiana cruciata), and soil from ant nest chambers. These data indicated that the aforementioned patterns were influenced by bacteria derived from caterpillars’ surrounding environments, rather than through transfers from ants. Thus, while bacterial communities are substantially reorganized over the life cycle of P. alcon caterpillars, it appears that they do not rely on transfers of bacteria from host ants to complete their development., Peer reviewed

[Usage Notes] Full molecular matrix Molecular matrix used for phylogenetic and dating inferences with partitioning and model selection for the BEAST analyses based on PartitionFinder results BAORINI.nex Chronogram used for biogeographic analyses Chrono.tre BEAST MCC chronogram BEAST MCC chronogram of the best analysis based on MLE comparison among all BEAST analyses (2 clocks and Yule Tree model) BAORINI_Yule_2C.tre Best IQ-TREE ML tree based on the full dataset Best ML tree based on likelihood comparison of 100 tree searches in IQ-TREE using the full dataset (AHE and available sequence data) BAO_72.treefile.tre Partitioning file for IQ-TREE analyses based on the full dataset File comprising the best partitioning scheme and models of nucleotide substitution estimated in IQ-TREE using ModelFinder across all available models for the full dataset (AHE and available sequence data) Partitions.txt.best_scheme.nex Partitioning file for IQ-TREE analyses based on the AHE dataset File comprising the best partitioning scheme and models of nucleotide substitution estimated in IQ-TREE using ModelFinder across all available models for the AHE dataset (no available sequence data) Partitions.txt.best_scheme.nex Best IQ-TREE ML tree based on the AHE dataset Best ML tree based on likelihood comparison of 100 tree searches in IQ-TREE using the full dataset (AHE and available sequence data) BAO_93.treefile.tre AHE molecular dataset Molecular matrix used for phylogenetic and dating inferences with partitioning and model selection for the BEAST analyses based on PartitionFinder results, The origin of taxa presenting a disjunct distribution between Africa and Asia has puzzled biogeographers for more than a century. This biogeographic pattern has been hypothesized to be the result of transoceanic long‐distance dispersal, Oligocene dispersal through forested corridors, Miocene dispersal through the Arabian Peninsula or passive dispersal on the rifting Indian plate. However, it has often been difficult to pinpoint the mechanisms at play. We investigate biotic exchange between the Afrotropics and the Oriental region during the Cenozoic, a period in which geological changes altered landmass connectivity. We use Baorini skippers (Lepidoptera, Hesperiidae) as a model, a widespread clade of butterflies in the Old World tropics with a disjunct distribution between the Afrotropics and the Oriental region. We use anchored phylogenomics to infer a robust evolutionary tree for Baorini skippers and estimate divergence times and ancestral ranges to test biogeographic hypotheses. Our phylogenomic tree recovers strongly supported relationships for Baorini skippers and clarifies the systematics of the tribe. Dating analyses suggest that these butterflies originated in the Oriental region, Greater Sunda Islands, and the Philippines in the early Miocene c. 23 Ma. Baorini skippers dispersed from the Oriental region towards Africa at least five times in the past 20 Ma. These butterflies colonized the Afrotropics primarily through trans‐Arabian geodispersal after the closure of the Tethyan seaway in the mid‐Miocene. Range expansion from the Oriental region towards the African continent probably occurred via the Gomphotherium land bridge through the Arabian Peninsula. Alternative scenarios invoking long‐distance dispersal and vicariance are not supported. The Miocene climate change and biome shift from forested areas to grasslands possibly facilitated geodispersal in this clade of butterflies., National Science Foundation, Award: DEB-1541500., Peer reviewed

Biodiversity Literature Repository, Peer reviewed

Biodiversity Literature Repository, Peer reviewed