An insight into advances in fisheries biology, genetics and genomics of African tilapia species of interest in aquaculture

Amoussou, Toundji Olivier; Karim, Issaka Youssao Abdou; Dayo, Guiguigbaza‐Kossigan; Kareem1, Noor Majid Raheem; Toko, Ibrahim Imorou; Chikou, Antoine; Toguyéni, Aboubacar

doi:10.1016/j.aqrep.2019.100188

Cited by 8 publications

(8 citation statements)

References 148 publications

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“…A marker system needs to be established for monitoring purposes. Each of these molecular genetic markers/approaches offer various advantages and disadvantages, and the selection of an optimal marker is anchored on the cost (Amoussou et al 2019). The operational choice is also determined by the knowledge of the most reliable and promising genetic tools for species' characterisation.…”

Section: Monitoring Genetic Diversity Of Nile Tilapiamentioning

confidence: 99%

“…Considering population genetics, any useful genetic marker must exhibit Mendelian traits including polymorphism (variability between individuals), high resolving discriminating power (able to differentiate individuals), selective neutrality, reproducibility, usability on a large scale, being free of epistatic interactions, demonstrating ubiquity throughout the genome and allowing economical screening (Nikolic et al 2009; Amoussou et al 2019). While RAPDs and allozymes are generally rated weakly polymorphic coupled with heterozygote deficiencies and poor reproducibility (Appleyard et al 2001), mtDNA markers rarely undergo genetic recombination and are thus useful for population phylogenetic studies (Falk et al 2003; Amoussou et al 2019). However, mtDNA is limited for investigating introgressive hybridisation as well as for studies focusing on population genetics because of its maternal inheritance (Toniato et al 2010).…”

Section: Monitoring Genetic Diversity Of Nile Tilapiamentioning

confidence: 99%

“…Recently a SNP chip was developed that can be tested (Peñaloza et al 2020). SNPs are generally informative, but their application is relatively expensive, requiring the incorporation of many loci for achieving sufficient resolving power (Amoussou et al 2019). The employment of SNPs to study Nile tilapia's genetics is still rare, as well as limited to investigations focusing on inbreeding and relatedness (Smouse 2010).…”

Section: Monitoring Genetic Diversity Of Nile Tilapiamentioning

confidence: 99%

Section: Monitoring Genetic Diversity Of Nile Tilapiamentioning

confidence: 99%

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Understanding the translocation dynamics of Nile tilapia (Oreochromis niloticus) and its ecological consequences in East Africa

2022

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The Nile tilapia (Oreochromis niloticus) is the second-most economically important fish species in East African countries (EAC), surpassed only by the Nile perch (Lates niloticus). It is the most-farmed freshwater fish species in EAC and the second-most-farmed worldwide. Currently, in EAC, through direct stocking activities and likely indirectly via aquaculture escapees, Nile tilapia are present in waterbodies where it is not native and where it is thought to have contributed to the fish biodiversity loss observed in recent decades. Introduced Nile tilapia may hybridise with native, congeneric species, promoting genetic introgression that can be detrimental to the sustainability of biodiversity. Moreover, the translocation dynamics and escapes from aquaculture can contribute to artificial geneflow between Nile tilapia stocks, compromising their gene pool and the sustainability of the species as a fishery resource. In the current work, we review some examples of these phenomena in EAC. Additionally, we explore the importance of collecting genetic data to define baseline knowledge for native and non-native Nile tilapia populations that can be used in monitoring programmes for development, management and conservation of tilapia genetic resources.

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Section: Monitoring Genetic Diversity Of Nile Tilapiamentioning

confidence: 99%

Section: Monitoring Genetic Diversity Of Nile Tilapiamentioning

confidence: 99%

Section: Monitoring Genetic Diversity Of Nile Tilapiamentioning

confidence: 99%

Section: Monitoring Genetic Diversity Of Nile Tilapiamentioning

confidence: 99%

See 2 more Smart Citations

Understanding the translocation dynamics of Nile tilapia (Oreochromis niloticus) and its ecological consequences in East Africa

2022

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“…In this respect, with the advance of molecular biology, more sophisticated techniques were introduced as breeding molecular markers based on genomics and proteomics technology. There are currently molecular markers categorized into cytoplasmic, dominant, and codominant types, and the most common molecular markers in use are based on mitochondrial (mt)DNA and simple sequence repeat (SSR) signatures (Amoussou et al 2019). Moreover, sex-specific DNA markers have already been developed for facilitating the production of the genetically male Tilapia with different determination loci (Chen et al 2018).…”

Section: Introductionmentioning

confidence: 99%

The Structural Annotations of The Mir-122 Non-Coding RNA from The Tilapia Fish (Oreochromis niloticus)

Parikesit

Imron²,

Nurdiansyah

et al. 2022

HAYATI J Biosci

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Tilapia (Oreochromis niloticus) is an important fisheries commodity. Scientific efforts have been done to increase its quality. One of them is staging a premium diet such as a fat-enriched diet. The transcriptomics approach is able to provide the signatures of the diet outcomes by observing the micro(mi)RNA signature in transcriptional regulation. Hence, it was found that the availability of mir-122 is essential in the regulation of a high-fat diet in tilapia. However, this transcriptomics signature is lacking structural annotations and the complete interaction annotations with its silencing(si)RNA. RNAcentral website was navigated for the latest annotation of mir-122 from tilapia and other species as a comparison. MEGA X was employed to comprehend the miRNA evolutionary repertoire. The RNA secondary structure prediction tools from the Vienna RNA package and the RNA tertiary structure prediction tools from simRNA and modeRNA are secured with default parameters. The HNADOCK tools were leveraged to observe the interaction between mir-122 and its siRNA. The post-processing was conducted with the Chimera visualization tool. The secondary and tertiary structure of the mir-122 and its siRNA could be elucidated, docked, and visualized. In this end, further effort to develop a comprehensive molecular breeding tool could be secured with the structural annotation information.

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Aquaculture: A hidden goldmine for the rural poor—A cost–benefit analysis of fish farming for sustainable development and food security in Vihiga County, Kenya

Syanya,

Harikrishnan,

Simiyu

et al. 2024

Bus Strat Dev

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In Kenya, aquaculture plays a significant role in enhancing the livelihoods of rural communities by boosting the local economy and diversifying protein sources. Although Vihiga County in Western Kenya boasts considerable potential for aquaculture, it paradoxically experiences some of the highest levels of poverty and malnutrition in the country. The profitability of fish farming has also been affected by inefficiencies and poor resources, disproportionately affecting the income and nutritional value of rural poor who rely on Aquaculture as a source of cheap protein. The study was conducted in Vihiga County to assess the cost–benefit of aquaculture production, selecting 100 fish farmers through a stratified random sampling technique from five sub‐counties. A descriptive research design was employed, and data analysis was conducted using correlation and regression analysis with SPSS. Budgetary techniques were used for the cost–benefit analysis. Data presentation was by comparing the mean and standard deviation in US dollars of different pond size production. The research findings indicated that the size and type of pond do not have a significant correlation and differences in production (p‐value >.05). There is a strong positive correlation between the size of the pond and the stocking density. The variable cost (VC) has a positive correlation with pond productivity meaning that an increase in VC leads to an increase in production. And is not statistically significant (p‐value = .21827, p‐value >.05). Moreover, the total cost (TC) correlation is statistically significant (p‐value = .0351, p < .05). Larger ponds are more profitable but require higher costs production than smaller ponds. The study concludes that pond size significantly impacts productivity, advocating for smaller ponds to achieve higher net returns with lower production costs. Major challenges include high costs of feeds, inputs, fish diseases, and post‐harvest losses. Key policy variables influencing aquaculture in Vihiga County include infrastructure, fish feed production, capital, and fisheries extension services. Adequate financial support from both National and County governments is crucial for sustainable aquaculture in alignment with Kenya's Vision 2030 and Global Sustainable Development Goals. Policymakers are urged to assist small‐scale farmers with financing, training, and market information to optimize returns on investment.

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An insight into advances in fisheries biology, genetics and genomics of African tilapia species of interest in aquaculture

Cited by 8 publications

References 148 publications

Understanding the translocation dynamics of Nile tilapia (Oreochromis niloticus) and its ecological consequences in East Africa

Understanding the translocation dynamics of Nile tilapia (Oreochromis niloticus) and its ecological consequences in East Africa

The Structural Annotations of The Mir-122 Non-Coding RNA from The Tilapia Fish (Oreochromis niloticus)

Aquaculture: A hidden goldmine for the rural poor—A cost–benefit analysis of fish farming for sustainable development and food security in Vihiga County, Kenya

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