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RNA-Seq dataset of thoracic ganglia transcriptome across four ovarian development stages in Fenneropenaeus merguiensis.

ABSTRACT: Banana shrimp (Fenneropenaeus merguiensis) is an economically important shrimp in marine aquaculture. Although there is plenty of transcriptome research for this species, the molecular mechanisms in thoracic ganglia of banana shrimp during ovarian maturation have not yet been investigated. Here we report the transcriptomic data of female banana shrimp obtained from thoracic ganglia during ovarian developmental stages. The samples were collected from four stages of ovarian development with two individual shrimps per stage. Total RNA was extracted and used to prepare the sequencing library. Approximately 188 million pair-end raw reads, ranging from 21 to 31 million reads for each library, were generated using an Illumina HiSeq 2500 platform. Quality control was applied to the raw reads before the assembly process. After de novo assembly, the final transcript assembly was generated by vector decontamination, coding regions prediction, redundancy reduction, and foreign sequence depletion. A total of 77,681 transcripts, ranging between 255 and 23,016 bp with an N50 value of 1,167 were obtained to the final assembly. Finally, the final transcripts assembly was evaluated by calculated assembly completeness with Arthropoda orthologous genes dataset. A total of 92.1% of Arthropoda orthologous genes were found in our final assembly. These data might provide benefits for gene discovery, gene annotation, transcript profiling, and other research topics in the context of banana shrimp.

SUBMITTER: Yodsawat P

PROVIDER: S-EPMC8100087 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundBanana shrimp Fenneropenaeus merguiensis has emerged as an important aquacultured shrimp species in South East Asia and Australia. However, the quantitative genetic basis of economically important traits in this species are currently not available, while for body colour, cooked or uncooked, there are no genetic parameter estimates for any shrimp or indeed any decapod crustacean. In this study, we report for banana shrimp genetic parameters for morphometric traits and, the first time for any shrimp, parameter estimates for body colour. Ten highly polymorphic microsatellite markers were developed from genomic sequences and used to construct a pedigree for 2000 offspring from approximately 60 female and 60 male parents that were sampled from a single routine commercial production pond.ResultsRestricted maximum likelihood method applied to a single trait mixed model was used to estimate heritabilities, while correlations were estimated using the multi-trait approach. The estimates of heritability for morphometric traits were moderate to high (h(2) = 0.14 - 0.50). Body colour of uncooked shrimp showed a heritable additive genetic component (h(2) = 0.03 - 0.55), and those estimates obtained for cooked shrimp were significantly different from zero. Genetic correlations among morphometric traits were all positive and very high (close to unity, rg = 0.85 - 0.99). The genetic correlations of body traits (weight, length and width) were positive with both colour after cooking (0.74 - 0.84) and body colour measured on live shrimp (0.59 to 0.70). The positive genetic correlations between the cooked body colour and uncooked body colour (0.64 ± 0.20) suggests these two traits can be simultaneously improved in practical selective breeding programs. This first ever report of genetic parameters for cooked or uncooked colour in crustacean indicates there is potential for genetic improvement of both growth and body colour through selection.ConclusionsIn the present study we demonstrated for banana shrimp that genetic parameters can be estimated from commercial samples (using pedigrees based on DNA markers), that selection for shrimp colour should be successful under such commercial conditions.

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RNA-Seq dataset of thoracic ganglia transcriptome across four ovarian development stages in Fenneropenaeus merguiensis.

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