Tilapia is native to Africa, and one of the most cultivated fish in the world. The goal of this research was to evaluate the genetic diversity of tilapia Oreochromis mossambicus from the Limpopo, Incomati, Umbeluzi and Sabi e rivers in Mozambique. Microsatellite markers were used to assess the genetic structure and to compare the genetic variability of wild populations of O. mossambicus. DNA samples from 200 specimens were analyzed. All five loci (UNH104, UNH129, UNH142, UNH222 and UNH231) used in this study were polymorphic, with observed heterozygosity ranging from 0.940 to 1.000 and the allelic richness average (Ar) ranging from 8.937 to 15.751. All of the stocks exhibited a remarkably significant excess of heterozygosity relative to the Hardy-Weinberg Equilibrium. Evidence of a genetic bottleneck was found in the four populations evaluated herein. The genetic structure of the population was investigated using the analogues F ST and D EST . The most genetic variability occurred within populations. Differentiation among populations ranged from low to moderate levels. No significant correlation was found between geographic and genetic distances. Implications of these findings for management and conservation of O. mossambicus stocks are discussed. U.S.

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The Penaeidae family includes some of the most economic and ecological important marine shrimp, comprising hundreds of species. Despite this importance and diversity, the taxonomic classification for penaeid shrimp has constantly been revised, and issues related to the species identification are common. In this study, we implemented DNA barcoding analyses in addition to single-gene species delimitation analyses in order to identify molecular operational taxonomy units (MOTUs) and to generate robust molecular information for penaeid shrimp based on the cytochrome oxidase subunit I (COI) mitochondrial gene. Our final data set includes COI sequences from 112 taxa distributed in 23 genera of penaeids. We employed the general mixed Yule coalescent (GMYC) model, the Poisson tree processes (PTP), and the Bayesian PTP model (bPTP) for MOTUs delimitation. Intraspecific and interspecific genetic distances were also calculated. Our findings evidenced a high level of hidden diversity, showing 143 MOTUs, with 27 nominal species not agreeing with the genetic delimitation obtained here. These data represent potential new species or highly structured populations, showing the importance of including a non-distance-based species delimitation approach in biodiversity studies. The results raised by this study shed light on the Penaeidae biodiversity, addressing important issues about taxonomy and mislabeling in databases and contributing to a better comprehension of the group, which can certainly help management policies for shrimp fishery activity in addition to conservation programs.

The coastline of Sub-Saharan Africa hosts highly diverse fish communities of high conservation value, which are also key resources for local livelihoods. However, many costal ecosystems are threatened by overexploitation and their conservation state is frequently unknown due to limited monitoring budgets and challenges associated with their vast spatial extents. Here, we evaluated the potential of citizen science-based eDNA surveys to alleviate such chronic data deficiencies and assessed fish communities in Mozambique using two 12S metabarcoding primer sets. Samples were either collected by scientific personnel or trained local community members and results from the two metabarcoding primer sets were combined using a newly created data merging approach. Irrespective of the background of sampling personnel, a high average fish species richness was recorded (38±20 OTUs sample-1). Individual sections of the coastline largely differed in the occurrence of threatened and commercially important species, highlighting the need for regionally differentiated management strategies. A detailed comparison of the two applied primer sets revealed an important trade-off in primer choice with MiFish primers amplifying a higher number of species but Riaz primers performing better in the detection of threatened fish species. This trade-off could be partly resolved by applying our data-merging approach, which has the potential to provide a more robust baseline-data for decision-making processes. Overall, our study provides encouraging results but also highlights that eDNA-based monitoring will require further improvements of e.g., reference databases and local analytical infrastructure to facilitate routine applications in Sub-Saharan Africa.

Seahorses and pipefishes are heavily exploited for use in Traditional Chinese Medicine (TCM), and less frequently for curio markets or as aquarium fish. A number of recent studies have used DNA barcoding to identify species sold at TCM markets in East Asia, but the usefulness of this approach in determining the region of origin remains poorly explored. Here, we generated DNA barcodes of dried seahorses and pipefishes destined for TCM that were confiscated at South Africa’s largest airport because they lacked the export permits required for the CITES-listed seahorses. These were compared with published sequences and new sequences generated for Mozambican seahorses, with the aim of determining whether it is possible to identify their country of origin. All pipefishes were identified as Syngnathoides biaculeatus, a widespread Indo-Pacific species, but the published sequence data did not provide sufficient resolution to identify the region of origin. The same was true of the majority of seahorses, which could not even be identified to species level because they clustered among an unresolved species complex whose sequences were published under the names Hippocampus kuda, H. fuscus and H. capensis. The presence of a few specimens of a second seahorse, H. camelopardalis, suggests that the shipment originated from East Africa because the range of this seahorse is centred around this region, but again, it was not possible to determine their country of origin. Even though seahorses and pipefishes have high levels of genetic population structure because of their low dispersal potential, DNA barcoding was only suitable to tentatively identify species, but not their region of origin. DNA barcoding is increasingly used to identify illegally traded wildlife, but our results show that more sophisticated methods are needed to monitor and police the trade in seahorses and pipefishes.