Fish databases for improving their conservation in Colombia

Progress in the acquisition of massive sets of molecular data and in the bioinformatic capabilities for their processing have revolutionised species identification, filling gaps in crucial areas such as taxonomy, phylogenetic inference, biogeography, and even biodiversity conservation. Advanced DNA sequencing and metabarcoding have uncovered previously hidden diversity, although their effectiveness is highly dependent on the accuracy of reference DNA databases at local and regional scales. The compilation of information on freshwater fishes from the Magdalena River basin is an important milestone in improving our knowledge of the genetic and taxonomic diversity of a highly endemic region in the Neotropical context. Here, we share DNA data from 1,270 specimens representing 183 species, cross-referenced with complete collecting and catalogue information, along with high resolution photographs of voucher specimens when alive. This collection of multiple sources of information based on fish specimen records not only contributes to future research on Neotropical fish systematics and ecology, but also to conservation decisions in one of the South American rivers with a highest level of endemism.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2025-02-13
DOI
https://doi.org/10.1038/s41597-024-04352-3
Citations
5
Primary Topic
Fish biology, ecology, and behavior
Type
article
Field-Weighted Citation Impact
11.57

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fish databases for improving their conservation in Colombia

Marcela Hernández-Zapata, Jonathan Álvarez-Bustamante, María Camila Castellanos-Mejía, Juliana Herrera‐Pérez et al.
5 citations
Scientific Data
Fish biology, ecology, and behavior
11.57
article

Fish databases for improving their conservation in Colombia

Marcela Hernández-Zapata, Jonathan Álvarez-Bustamante, María Camila Castellanos-Mejía, Juliana Herrera‐Pérez, Iván Darío Soto‐Calderón, Luz F. Jiménez‐Segura, Andrés F. Galeano-Moreno, Daniel Valencia‐Rodríguez, Manuela Mejía-Estrada, Daniel Restrepo-Santamaría, Carlos DoNascimiento, Omer Campo, Juan G. Ospina-Pabón, Luis J. García-Melo, José L. Londoño-López, Víctor M. Medina-Ríos
article en
5 citations

Abstract

Progress in the acquisition of massive sets of molecular data and in the bioinformatic capabilities for their processing have revolutionised species identification, filling gaps in crucial areas such as taxonomy, phylogenetic inference, biogeography, and even biodiversity conservation. Advanced DNA sequencing and metabarcoding have uncovered previously hidden diversity, although their effectiveness is highly dependent on the accuracy of reference DNA databases at local and regional scales. The compilation of information on freshwater fishes from the Magdalena River basin is an important milestone in improving our knowledge of the genetic and taxonomic diversity of a highly endemic region in the Neotropical context. Here, we share DNA data from 1,270 specimens representing 183 species, cross-referenced with complete collecting and catalogue information, along with high resolution photographs of voucher specimens when alive. This collection of multiple sources of information based on fish specimen records not only contributes to future research on Neotropical fish systematics and ecology, but also to conservation decisions in one of the South American rivers with a highest level of endemism.

Scientific DataVol. 12(1)
Universidad de Antioquia (CO), Instituto de Ecología (MX)
Universidad de Antioquia
Life in Land
Openalex Percentile: Top 2%
Fish biology, ecology, and behavior
11.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.