Past environmental change and seasonal migration shaped pronounced variability in the phylogenomic history of a morphologically cryptic bird radiation
Data files
Jan 28, 2026 version files 156.43 GB
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holo_25_recall_indel_repeats_removed.vcf.gz
37.13 GB
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README.md
2.20 KB
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Riparia_Dsuite.vcf.gz
4.90 GB
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Riparia_fasta_45810windows_compressed.tar.gz
368.51 MB
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Riparia_fasta_91620windows_compressed.tar.gz
735.81 MB
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Riparia_Mitochondrial_alignments.zip
17.78 KB
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Riparia_psmc_bam_1.tar.gz
41.02 GB
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Riparia_psmc_bam_2.tar.gz
30.14 GB
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Riparia_psmc_bam_3.tar.gz
42.14 GB
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Sample_list_Riparia_phylogeny_detailed.xlsx
12.21 KB
Abstract
Aim: Demographic inferences in combination with phylogenomic reconstructions provides a promising avenue to better understand the impact of past environmental changes on biogeographic patterns, yet we have only begun to exploit this potential. Here, based on genome resequencing data, we studied how regionally contrasting environmental conditions and variation in seasonal migration behaviour and dispersal ability influenced diversification of a cryptic bird radiation containing evolutionary lineages with extensive variation in distribution ranges across Eurasia.
Location: Eurasia
Taxon: Avian genus Riparia
Methods: We analyzed full genome data of 24 individuals, including all Eurasian Riparia taxa, using multi-pronged phylogenomic and demographic analyses. Hand-wing index (HWI) was used as proxy for migration and dispersal behaviour.
Results: Collared R. riparia and pale sand martin R. diluta showed genomic divergence at inter- and intraspecific level, aligning with described subspecies. The large Eurasian range of nominate R. r. riparia resulted from prolonged population growth during the Late Pleistocene rather than recent post-glacial expansion as suggested earlier from mitochondrial DNA. Pronounced seasonal migration and dispersal propensity likely allowed the colonization of a large range and impeded population differentiation. However, the divergence of southern R. r. shelleyi likely happened through a reduction in seasonal migration behaviour. The four evolutionary lineages of R. diluta showed independent demographic trajectories. After initial differentiation in contrasting environments, evolution of distinct seasonal migration behaviour likely became crucial for maintaining genomic diversity.
Conclusions: Our comparative genomic analyses allowed us to pinpoint how regional variation in past environmental changes and life-history traits led to contrasting evolutionary trajectories in a single bird radiation. This underpins the importance of such analyses across the tree of life to increase our understanding of the factors shaping species’ demographic histories, not at least for assessing their potential reaction to current human-induced climate change.
DOI: 10.5061/dryad.sn02v6xdm
This data file contains a sample list with more detailed information (Sample_list_Riparia_phylogeny_detailed.xlsx) and datasets for different analysis:
Description of variables in the sample list:
Sample ID and Locality Id used in the paper, Locality, Coordinates and Collecting dates are information of where and when the sample were collected, Tissue: Type of tissue sampled for resequencing, SRA and BioSample ID are the ID information for the raw fastq files of each individual stored in NCBI. Format of dates:day/month/year. NA for data not available.
fasta alignments of 45810 unlinked windows and the total number of 91620 windows for the species tree analysis:
- Riparia_fasta_45810windows_compressed.tar.gz
- Riparia_fasta_91620windows_compressed.tar.gz
fasta alignments of 8 mitochondrial protein-coding genes:
- Riparia_Mitochondrial_alignments.zip
vcf of called SNPs, including invariable sites, removing indels and repeats:
- holo_25_recall_indel_repeats_removed.vcf.gz
vcf files for Dsuite analysis:
- Riparia_Dsuite.vcf.gz
bam files for psmc analysis:
- Riparia_psmc_bam_1.tar.gz
- Riparia_psmc_bam_2.tar.gz
- Riparia_psmc_bam_3.tar.gz
The Sequence ID in each file corresponds to the Sample ID in the paper as follows:
| Sequence ID | Sample ID |
|---|---|
| H5 | NHMUK1920.10.24.1 |
| H2 | NHMUK1949.WHI.5879 |
| RdfMx6531 | SYSb006531 |
| Rdfyb10 | SYSb008379 |
| RdfWz3792 | SYSb003792 |
| RdtRm44 | SYSb004194 |
| RdtZg02 | SYSb003656 |
| RdtLs20 | SYSb004154 |
| RddWjq 6542 | SYSb006542 |
| RddAla102 | SYSb006522 |
| RddKho116 | SYSb007338 |
| RrrZz6508 | SYSb006508 |
| RrrM27 | NMBE1078313 |
| RrIsr2 | El2 |
| RrIsr3 | El3 |
| RrsIsr12 | El12 |
| RrrBsm168 | SYSb008357 |
| RrrEur136392 | ZMUC136392 |
| RrrEur137192 | ZMUC137192 |
| RrrEur116734 | ZMUC116734 |
| Rp132634 | ZMUC132634 |
| A6 | NHMUK1965.M.8237 |
| G5 | NRM-U-663 |
| F5 | NRM-U-664 |
We analyzed full genome data of 24 individuals including all Eurasian Riparia taxa using multi-pronged phylogenomic and demographic analyses. Hand-wing index (HWI) was used as proxy for migration and dispersal behaviour.
