Data from: Complex population genetic structure of the bark beetle predator Thanasimus formicarius L. (Coleoptera: Cleridae) across its European range
Data files
Jan 22, 2025 version files 92 KB
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HaplotypeFile_AFE(2024)5012.nex
27.59 KB
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HaplotypeSequences_AFE(2024)5012.txt
62.13 KB
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README.md
2.28 KB
Abstract
Thanasimus formicarius L. (Coleoptera: Cleridae) is an important bark beetle predator and can reduce bark beetle population densities of some of the most severe forest pests in Europe. We analysed the population genetics and phylogeography of the ant beetle T. formicarius across its European range, using mitochondrial COI data from 187 individuals sampled from 23 locations. Our extensive sampling from the Fennoscandian to the Mediterranean region and from Iberia to the Middle East provides insights into the genetic structure of the species. A ~ 650 bp fragment of the mitochondrial COI gene was PCR-amplified and the PCR products with the highest DNA concentrations were Sanger-sequenced. We performed haplotype analysis, calculated haplotype and nucleotide diversities, constructed a minimum spanning network of haplotypes, and performed an AMOVA. Moreover, the relationship among haplotypes was reconstructed using the Neighbour Joining and the Maximum Likelihood method, using a COI sequence of the closely related species Thanasimus femoralis as an outgroup. We found a high genetic diversity, revealing 119 haplotypes across the sampling area. Two major clades, an Atlantic and a Contintental, were identified, suggesting the presence of at least two glacial refugia during the last ice ages. An isolated population was discovered on the island of Corsica, suggesting that a limited number of individuals, probably from mainland France, may have colonised Corsica and a founder effect occurred. These findings improve our understanding of the recent evolutionary history of T. formicarius, which has been shaped by Pleistocene events and certain species-specific life-history traits.
README: Complex population genetic structure of the bark beetle predator Thanasimus formicarius across its European range
https://doi.org/10.5061/dryad.hdr7sqvst
Description of the data and file structure
We analysed the population genetics and phylogeography of the ant beetle Thanasimus formicarius L. (Coleoptera: Cleridae) across its European range, using mitochondrial COI data (PCR amplified with the primers LCO and HCO) from 187 individuals sampled from 23 locations. Thanasimus formicarius is an important bark beetle predator and can reduce bark beetle population densities of some of the most severe forest pests in Europe. We found a high genetic diversity, revealing 119 haplotypes across the sampling range. We performed haplotype analysis, calculated haplotype and nucleotide diversity, constructed a minimum spanning network of haplotypes, and performed an AMOVA. Moreover, the relationship among haplotypes was reconstructed using the Neighbour Joining and the Maximum Likelihood method, using a COI sequence of the closely related species Thanasimus femoralis as an outgroup.
The dataset includes:
- Haplotype sequences are provided as a text file (HaplotypeSequences_AFE(2024)5012.txt)
- The R script used for sequence alignment, haplotype designation and map plotting is also provided as a text file (RScript_AFE(2024)5012.txt)
- A DnaSP haplotype file in Nexus format is included. (HaplotypeFIle_AFE(2024)5012.nex)
Files and variables
File: HaplotypeSequences_AFE(2024)5012.txt
Description: This file contains all T. formicarius haplotype sequences (119) discovered in this study.
File: HaplotypeFile_AFE(2024)5012.nex
Description: Haplotype data file created in DnaSP v6, in Nexus format, further analysis in POPART 3 possible.
File: RScript_AFE(2014)5012.txt
Description: R code for estimation of haplotypes and haplotype distribution of T. formicarius across its European range.
Code/software
Haplotypes and haplotype distibution of T. formicarius across its European range were estimated in R Studio 2023.09.1 using the packages 'haplotypes'. Maps were plotted in R Studio 2023.09.1, using the packages 'rnaturalearth' and 'ggplot2'.