This study evaluates the utility of DNA barcoding to traditional morphology-based species identifications for the fish fauna of the north-eastern Congo basin. We compared DNA sequences (COI) of 821 samples from 206 morphologically identified species. Best match, best close match and all species barcoding analyses resulted in a rather low identification success of 87.5%, 84.5% and 64.1%, respectively. The ratio 'nearest-neighbour distance/maximum intraspecific divergence' was lower than 1 for 26.1% of the samples, indicating possible taxonomic problems. In ten genera, belonging to six families, the number of species inferred from mtDNA data exceeded the number of species identified using morphological features; and in four cases indications of possible synonymy were detected. Finally, the DNA barcodes confirmed previously known identification problems within certain genera of the Clariidae, Cyprinidae and Mormyridae. Our results underscore the large number of taxonomic problems lingering in the taxonomy of the fish fauna of the Congo basin and illustrate why DNA barcodes will contribute to future efforts to compile a reliable taxonomic inventory of the Congo basin fish fauna. Therefore, the obtained barcodes were deposited in the reference barcode library of the Barcode of Life Initiative.
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http://dx.doi.org/10.1111/1755-0998.12445 | DOI Listing |
Zootaxa
April 2024
Biodiversity Inventory for Conservation (BINCO) NPO; Walmersumstraat 44; B-3380 Glabbeek; Belgium.
Machaerotidae is a small family with a paleotropical distribution. Eight species are known from Africa. Labramachaerota luilaka sp.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Geography, Planning and Environment, University of Concordia, Montreal, Canada.
The Congo Basin tropical forests are home to many endemic and endangered species, and a global hotspot for forest fragmentation and loss. Yet, little has been done to document the region's rapid deforestation, assess its effects and consequences, or project future forest cover loss to aid in effective planning. Here we applied the Random Forest (RF) supervised classification algorithm in Google Earth Engine (GEE) to map and quantify decadal changes in forest cover and land use (LCLU) in the Congo Basin between 1990 and 2020.
View Article and Find Full Text PDFHIV AIDS (Auckl)
November 2024
Department of Health Research, M.A. SANTE (Meilleur Accès aux soins de Santé), Yaoundé, Cameroon.
Background: Majority of deliveries occurring in the Cameroon part of the Lake Chad basin is assisted by traditional birth attendants (TBA). The aim of the present study was to assess if training and involving TBA in community-based Prevention of Mother to Child Transmission (PMTCT) interventions can contribute in improving targeted population access to these interventions.
Methods: This was a retrospective cohort study that assessed among mothers of children aged 0-24 months the effect of training and involving TBA in PMTCT activities.
Sci Data
November 2024
International Water Management Institute (IWMI), Addis Ababa, Ethiopia.
Conserv Biol
October 2024
Department of Biogeography and Global Change, Museo Nacional de Ciencias Naturales (MNCN-CSIC), Madrid, Spain.
The urgent need to mitigate and adapt to climate change necessitates a comprehensive understanding of carbon cycling dynamics. Traditionally, global carbon cycle models have focused on vegetation, but recent research suggests that animals can play a significant role in carbon dynamics under some circumstances, potentially enhancing the effectiveness of nature-based solutions to mitigate climate change. However, links between animals, plants, and carbon remain unclear.
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