Unraveling the Limits of Mitochondrial Control Region to Estimate the Fine Scale Population Genetic Differentiation in Anadromous Fish<i>Tenualosa ilisha</i>

Verma, Rashmi; Singh, Mahender; Kumar, Sudhir

doi:10.1155/2016/2035240

Cited by 8 publications

(4 citation statements)

References 23 publications

(21 reference statements)

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“…) was higher in the Padma population (0.905) whereas nucleotide diversity was higher in the Meghna population (0.0063±0.004).These findings suggest that T. ilisha has a high level of Similarly findings were also observed by Verma et al (2016) and Behera genetic diversity and low nuclear diversity among riverine populations…”

Section: Fig 2 Haplotype Network Of Mitochondrial Dna Insupporting

confidence: 54%

“…Both genetic and otolith chemistry data put support for presence of single stock of hilsa shad across riverine network and coastal areas in Bangladesh (Milton andChenery 2001, BOBLME 2010). Ahmed et al ( 2004) suggested more than one population of hilsa shad across the riverine and coastal environments in Bangladesh.Similarly, the control region study showedpopulation structuring on broad scale between the Bay of Bengal and Arabian Sea ‫ܨ(‬ st =0.044, ‫,)100.0<‬ it was failed to determine structure among riverine populations (Verma et al 2016). RAPD markers could differentiate genetically the Hooghly and Narmada Riverhilsastock from the Ganga/Yamuna rivers populations (Brahmane et al 2006) whereas mitochondrial cytochrome b region analysis did not identify any population differentiation and the genetic diversity was low in the Hooghly and Ganga Rivers (Brahmane et al 2013).…”

Section: Genetic Differentiations St )mentioning

confidence: 98%

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Existence of panmictic Hilsa shad (Tenualosa ilisha) populations from two large river ecosystems in Bangladesh revealed by mitochondrial control region

KHATUN¹,

Mondol

RAHMAN³

et al. 2022

Bangladesh J. Fish.

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The present study was undertaken to estimate genetic diversity and reveal population structure of Hilsa shad (Tenualosa ilisha) from two large river ecosystems, the Padma and Meghna of Bangladesh using mitochondrial control region (D-loop region). Fin tissue samples of 60 individuals were collected from the Padma (ChapaiNawabgonj) and Meghna River (Chandpur). DNA was extracted and D-loopof mtDNA was amplified, purified and sequenced. A total of 35 Sequences (15 Sequences from the Padma and 20 Sequences from the Meghna population) were analyzed and 14 haplotypes were detected. Total16 polymorphic sites were identified that included11 singleton sites and 5 parsimony informative sites. These populations showed high haplotype diversity (h) (0.863 in the Meghna and 0.901in the Padma population). We found low nucleotide diversity (Pi) within each population, 0.0058±0.0039 in the Padma to 0.0063±0.004 in the Meghna population. The shared haplotypes among the two populations were identified as 28.57%, and the rest 71.43% were private haplotypes. Estimate of genetic differentiations (Fst) suggest that the Meghna population of Hilsa was closely related to the Padma population (Fst= 0.058, P=0.07). The TCS genealogy showed three main haplotypes separated by three mutational steps and hap_10 might be the most ancestral haplotype by its internal position in the network. All results suggest panmixia in T. ilisha populations between the Meghna and Padma river populations and thus similar management plan could be useful for these two river Hilsa fishery in Bangladesh.

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Section: Fig 2 Haplotype Network Of Mitochondrial Dna Insupporting

confidence: 54%

Section: Genetic Differentiations St )mentioning

confidence: 98%

Existence of panmictic Hilsa shad (Tenualosa ilisha) populations from two large river ecosystems in Bangladesh revealed by mitochondrial control region

KHATUN¹,

Mondol

RAHMAN³

et al. 2022

Bangladesh J. Fish.

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“…Based on our results, the FQ population exhibits the lowest genetic diversity and highest differentiation and should be prioritized for protection to avoid further loss of genetic diversity. The mtDNA control region may exhibit hypervariability and homoplasy, which cannot accurately reflect the overall population structure (Takeshima et al, 2005; Verma et al, 2016). To better manage, protect, and utilize P. olivaceus , larger numbers of polymorphic loci from the nuclear genome combined with multiple mtDNA (COI, ND2, ND5) regions should be collected to investigate its population genetics.…”

Section: Discussionmentioning

confidence: 99%

Genetic population structure and demographic history of the endemic fish Paralichthys olivaceus of the Northwest Pacific Ocean

Sun

Yang

Huang

et al. 2022

Ecology and Evolution

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The Northwest Pacific marginal waters comprising the South China Sea, East China Sea, Yellow Sea, and the Sea of Japan have unique geomorphic features. The Japanese flounder Paralichthys olivaceus , which is endemic to the Northwest Pacific, has high nutritional, economic, and ecological value. To allow the examination of the demographic history and population structure of the most common P. olivaceus species range over the five marginal seas (East China Sea, Yellow Sea, Bohai Sea, Northwest Pacific Ocean, and the Sea of Japan), the mitochondrial DNA control region of 91 individuals from six populations in China was sequenced. These sequences were combined with 233 sequences from four populations distributed in the Northwestern Pacific Ocean for analysis. Higher levels of nucleotide diversity (0.032 ± 0.016) and haplotype diversity (0.996 ± 0.001) were observed. The peripheral Fuqing population in the East China Sea had the relatively lowest genetic diversity and highest differentiation. Furthermore, when the results of the isolation by distance test, spatial analysis of molecular variation and geographic barrier analysis are also considered, there is a clear need to prioritize resource conservation and enhancement measures in this area. The phylogenetic trees, structure assignment test, and haplotypes network revealed no significant differences in the genealogical structure among ten populations. Mismatch distribution analysis, Bayesian skyline plots, and neutrality tests suggested that P. olivaceus experienced population expansion during the Pleistocene. Ocean currents and climate change play important roles in shaping the geographical distribution and genetic population structure of P. olivaceus .

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“…The initiation of replication of mitochondrial DNA occurs in the control region (about 1 KB). Control region of mitochondrial DNA is a good marker for analyzing population connectivity, defining conservation units, identifying migration routes of fishes, using in many phylogenetic and population genetic studies because of high copy number, and its maternal and haploid mode of inheritance [42].…”

Section: Mitochondrial Dna Control Region Subpopulationmentioning

confidence: 99%

Population Genetic Structure of Marine Fishes

Gonzalez,

Barria,

Ponce

et al. 2024

Genetics

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Research on population genetics structure of marine fishes is increasing because of new technology based on DNA sequencing. This knowledge is necessary for management and conservation of natural population in marine environment. The aim of the chapter is to discuss about how genetic population structure get from DNA, allows us to know about dynamic of life history of species of Teleosts (Actinopterigii) and Chondrichthyes (Elasmobranchii). The analysis is based on taxonomic point of view. We hope to contribute to apply the new advances to management of natural population of fishes and marine wildlife.

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Unraveling the Limits of Mitochondrial Control Region to Estimate the Fine Scale Population Genetic Differentiation in Anadromous FishTenualosa ilisha

Cited by 8 publications

References 23 publications

Existence of panmictic Hilsa shad (Tenualosa ilisha) populations from two large river ecosystems in Bangladesh revealed by mitochondrial control region

Existence of panmictic Hilsa shad (Tenualosa ilisha) populations from two large river ecosystems in Bangladesh revealed by mitochondrial control region

Genetic population structure and demographic history of the endemic fish Paralichthys olivaceus of the Northwest Pacific Ocean

Population Genetic Structure of Marine Fishes

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