scholarly journals Microplastics in an anadromous national fish, Hilsa shad Tenualosa ilisha from the Bay of Bengal, Bangladesh

2022 ◽  
Vol 174 ◽  
pp. 113236
Author(s):  
Mohammad Abdul Momin Siddique ◽  
Azad Uddin ◽  
Shahriar Md. Arifur Rahman ◽  
Mahfuzur Rahman ◽  
Md. Sahedul Islam ◽  
...  
Keyword(s):  
Bay Of Bengal ◽  
Tenualosa Ilisha

scholarly journals First draft genome assembly and identification of SNPs from hilsa shad (Tenualosa ilisha) of the Bay of Bengal

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 320 ◽  
Author(s):  
Md. Bazlur Rahman Mollah ◽  
Mohd Golam Quader Khan ◽  
Md Shahidul Islam ◽  
Md Samsul Alam
Keyword(s):  
Genome Assembly ◽  
Bay Of Bengal ◽  
Draft Genome ◽  
Gc Content ◽  
Population Connectivity ◽  
Whole Genome ◽  
Migratory Fish ◽  
Protein Coding ◽  
Protein Coding Genes ◽  
Tenualosa Ilisha

Background: Hilsa shad (Tenualosa ilisha), a widely distributed migratory fish, contributes substantially to the economy of Bangladesh. The harvest of hilsa from inland waters has been fluctuating due to anthropological and climate change-induced degradation of the riverine habitats.  The whole genome sequence of this valuable fish could provide genomic tools for sustainable harvest, conservation and productivity cycle maintenance. Here, we report the first draft genome of T. ilisha from the Bay of Bengal, the largest reservoir of the migratory fish. Methods: A live specimen of T. ilisha was collected from the Bay of Bengal. The whole genome sequencing was performed by the Illumina HiSeqX platform (2 × 150 paired end configuration). We assembled the short reads using SOAPdenovo2 genome assembler and predicted protein coding genes by AUGUSTUS. The completeness of the T. ilisha genome assembly was evaluated by BUSCO (Benchmarking Universal Single Copy Orthologs). We identified single nucleotide polymorphisms (SNPs) by calling them directly from unassembled sequence reads using discoSnp++. Results: We assembled the draft genome of 710.28 Mb having an N50 scaffold length of 64157 bp and GC content of 42.95%. A total of 37,450 protein coding genes were predicted of which 29,339 (78.34%) were annotated with other vertebrate genomes. We also identified 792,939 isolated SNPs with transversion:transition ratio of 1:1.8. The BUSCO evaluation showed 78.1% completeness of this genome. Conclusions: The genomic data generated in this study could be used as a reference to identify genes associated with physiological and ecological adaptations, population connectivity, and migration behaviour of this biologically and economically important anadromous fish species of the Clupeidae family.

scholarly journals Role of lunar phases, rainfall, and wind in predicting Hilsa shad ( Tenualosa ilisha ) catch in the northern Bay of Bengal

2019 ◽  
Author(s):  
Sandip Giri ◽  
Sugata Hazra ◽  
Pramit Ghosh ◽  
Amit Ghosh ◽  
Sourav Das ◽  
...  
Keyword(s):  
Bay Of Bengal ◽  
Lunar Phases ◽  
Tenualosa Ilisha ◽  
Northern Bay Of Bengal

Interplay between reproduction and age selective harvesting: A case study of Hilsa (Tenualosa ilisha) fish at Sundarban estuary of northern Bay of Bengal, India

2019 ◽  
Vol 12 (02) ◽  
pp. 1950023 ◽  
Author(s):  
Debaldev Jana ◽  
Sachinandan Dutta ◽  
G. P. Samanta
Keyword(s):  
Bay Of Bengal ◽  
Sexual Maturation ◽  
Mathematical Problem ◽  
Fish Population ◽  
The Other ◽  
Selective Harvesting ◽  
Tenualosa Ilisha ◽  
Northern Bay Of Bengal ◽  
Sexually Mature

New offspring due to sexual reproduction is not an instantaneous process from its birth, it takes time to be sexually mature. On the other hand, harvesting of commercially profitable fish population before the perfect size or weight is reached is not only a commercial loss but also risks the extinction of the population. Now, we discuss the issue of Ganges-Brahmaputra-Meghna basin, northern Bay of Bengal for the age-selective harvesting of Hilsa shad (Tenualosa ilisha) which lays eggs after its sexual maturation. Harvesting of hilsa before its sexual maturation risks its extinction and due to lamer body weight, it is not a commercially profitable policy. This is a reality of Sundarban estuary for hilsa fish harvesting, therefore, biologically and economically both India and Bangladesh are facing several problems. Empirical data of Frasergunje Fishing Harbor shows a clear picture as the supporting document of this mathematical problem.

scholarly journals Proximate composition of different portion of Hilsa, tenualosa ilisha from two regions of the Bay of Bengal in Bangladesh

1970 ◽  
Vol 20 (2) ◽  
pp. 109-115 ◽  
Author(s):  
Md Ali Hossain Shamim ◽  
Md Kawser Ahmed ◽  
Abu Tareq Mohammad Abdullah
Keyword(s):  
Protein Content ◽  
Key Words ◽  
Bay Of Bengal ◽  
Proximate Composition ◽  
Fat Content ◽  
Ash Content ◽  
Carbohydrate Content ◽  
Caudal Portion ◽  
Dorsal Portion ◽  
Tenualosa Ilisha

Tenualosa ilisha from Chittagong and Khulna regions of the Bay of Bengal was analyzed which showed that proximate compositions varied among the different portions of fish body. The highest value of moisture found in dorsal portion of the fish (Khulna region) whereas the lowest value of moisture found in caudal portion of the fish (Chittagong region) were 56.59 and 54.69%, respectively. The protein content was estimated to be 20.56, 21.89, 20.29, 21.33, 20.87 and 20.50% in dorsal portion (Chittagong region), ventral portion (Chittagong region), caudal portion (Chittagong region), dorsal portion (Khulna region), ventral portion (Khulna region) and caudal portion (Khulna region), respectively. The fat content was recorded 18.66% in dorsal portion (Chittagong region), 20.28% in ventral portion (Chittagong region), 19.71% in caudal portion (Chittagong region), 18.65% in dorsal portion (Khulna region), 19.15% in ventral portion (Khulna region) and 19.00% in caudal portion (Khulna region). The percentage of ash content was highest in ventral portion of fish body from the Khulna region (1.55) and lowest in dorsal portion of fish body from the Khulna region (1.03). The highest carbohydrate content was found in caudal portion of fish from the Chittagong region (3.93%) and lowest in ventral portion of fish from the Chittagong region (1.60%). The present findings revealed that the highest protein content was recorded as in ventral portion of fish from the Chittagong region (21.89%) and the fat was highest in ventral portion of fish from the Chittagong region (20.28%). Key words: Proximate composition; Ecosystem; The Bay of Bengal DOI: http://dx.doi.org/10.3329/dujbs.v20i2.8970 DUJBS 2011; 20(2): 109-115

Diet Composition and Intensity of Feeding of Tenualosa ilisha (Hamilton, 1822) Occurring in the Northern Bay of Bengal, India

2013 ◽  
Vol 67 (1) ◽  
pp. 33-37 ◽  
Author(s):  
Sachinandan Dutta ◽  
Sourav Maity ◽  
Subhra Bikash Bhattacharyya ◽  
Jetendra Kumar Sundaray ◽  
Sugata Hazra
Keyword(s):  
Bay Of Bengal ◽  
Diet Composition ◽  
Tenualosa Ilisha ◽  
Northern Bay Of Bengal ◽  
Intensity Of Feeding

Reproductive potential and stock status of the anadromous shad, Tenualosa ilisha (Hamilton, 1822): Implications for managing its declining fisheries in northern Bay of Bengal bordering India

2021 ◽  
Vol 44 ◽  
pp. 101753
Author(s):  
Vettath Raghavan Suresh ◽  
Sandhya Kavitha Mandhir ◽  
Aliyamintakath Muhammadali Sajina ◽  
Ranjan Kumar Manna ◽  
Jayanta Mukherjee ◽  
...  
Keyword(s):  
Bay Of Bengal ◽  
Reproductive Potential ◽  
Stock Status ◽  
Tenualosa Ilisha ◽  
Northern Bay Of Bengal

Growth overfishing of hilsa shad in Hooghly-Bhagirathi river system, India: Assessment and management implications

2020 ◽  
Vol 67 (2) ◽  
Author(s):  
A. M. Sajina ◽  
V. R. Suresh ◽  
K. M. Sandhya ◽  
J. Mukherjee ◽  
R. K. Manna ◽  
...  
Keyword(s):  
Bay Of Bengal ◽  
Coastal Waters ◽  
River System ◽  
Economic Loss ◽  
Management Implications ◽  
Fishery Resource ◽  
Bhagirathi River ◽  
Tenualosa Ilisha ◽  
Northern Bay Of Bengal

Juvenile fishing of the migratory hilsa shad, Tenualosa ilisha (Hamilton, 1822), is rampant in the coastal waters of northern Bay of Bengal and associated Hooghly-Bhagirathi river system. The average annual economic loss due to this was estimated at `497.84 million (around US$ 7.8 million) necessitating urgent need for managing it to maximise benefits from the fishery as it forms a major fishery resource in the region. Factors leading to juvenile fishing and the possible solutions to control the resultant biological and economic loss are discussed.

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