Data from: Geographic breaks and seascape features shape diversification in cryptobenthic reef fishes
Data files
Dec 10, 2025 version files 26.64 MB
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GeoMorpho_Malacoctenus.R
29.12 KB
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Macroevolution.zip
3.14 MB
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Microevolution.zip
22.61 MB
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README.md
2.62 KB
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SeascapeGenomicsMalacoctenus.zip
863.59 KB
Abstract
Because ocean environments often lack clear barriers to dispersal, the limited mobility and strong habitat fidelity of cryptobenthic reef fishes make them ideal for uncovering spatial patterns of evolutionary divergence in the marine realm. We conducted a comparative phylogeographic study of 23 of the 25 known species in the cryptobenthic fish genus Malacoctenus, integrating genome-wide SNPs from over 500 individuals, geometric morphometrics, and seascape data to assess the effectiveness of historical and contemporary marine barriers in the Tropical Eastern Pacific (TEP) and Greater Caribbean (GC). Population-level analyses across 14 species revealed generally well-structured populations with limited admixture, reinforcing the value of our study system for evaluating the efficacy and permeability of marine barriers. In the TEP, linear coastlines and broad sandy gaps, including the Sinaloan and Central American breaks and the open-ocean Galápagos break, consistently constrained connectivity. In contrast, the GC exhibited more variable structure shaped by dynamic currents and a semi-enclosed geography with a mosaic of islands, with the strongest breaks across the Eastern Caribbean, Bahamas, and Gulf of Mexico. Seascape genomic analyses identified depth, temperature, and chlorophyll-α as key environmental drivers. Depth played a major role in TEP speciation, separating tide pool– and reef-associated clades. Phylogenomic analyses uncovered an early divergence (~23 Ma) linked to Isthmus uplift, followed by asynchronous transisthmian speciation in two clades (~5.2–7.6 Ma). Our results highlight the spatially variable roles of marine barriers and environmental features in the diversification of cryptobenthic reef fishes and marine organisms more broadly.
author: "Carmen Pedraza"
date: "2025-08-12"
Repository Overview
This repository contains the SNP matrices and scripts used to conduct geometric morphometric, population genomic, seascape genomic, and phylogenetic analyses at the micro and macroevolutionary level.
demultiplexed PE ddRADseq data is available at NCBI https://www.ncbi.nlm.nih.gov/ under the BioProject PRJNA1371759 (SRA accessions SAMN53515416-SAMN53515915).
1. Microevolution
The Microevolution.zip directory includes datasets related to within-species evolutionary analyses.
PopulationGenomics
- A folder containing one subdirectory per species that were sampled across various geographic locations.
- Each species subdirectory includes:
- VCF files and population maps used in downstream population genomic analyses.
-EESM-summary.R script used to calculate and plot the summary of the estimated effective migration surfaces (EEMS) for all species.
2. Macroevolution
The Macroevolution.zip directory contains vcf files and scripts used to investigate broad-scale evolutionary patterns across the genus Malacoctenus. This includes:
- ecoevolity
Configuration and data files used to test synchronic cladogenetic events with ecoevolity. - PhylogeneticTrees
Estimated phylogenetic trees for Malacoctenus, representing macroevolutionary relationships among species. These include mtDNA and SNP data trees. - TimeCalibration
Files and constrains used to time-calibrate a phylogenetic tree using 279 SNPs.
3. GeoMorpho_Malacoctenus.R
- Script used to conduct geometric morphometric analyses, including error rate quantification.
3. SeascapeGenomics
The SeascapeGenomicsMalacoctenus.zip directory contains files and datasets used to perform seascape genomic analyses at both microevolutionary and macroevolutionary scales. These analyses integrate genomic data with environmental and oceanographic variables across the:
- Tropical Eastern Pacific, and
- Greater Caribbean.
This folder includes materials supporting statistical and spatial analyses aimed at understanding how environmental heterogeneity and seascape features shape genetic variation across populations and how it might have influence speciation across the genus.
Contact
For questions regarding data structure, file organization, or analysis workflows, please contact cpedrazamarron@ucmerced.edu
