Transcriptomics in advancing portunid aquaculture: A systematic review
The rapid advancement of next-generation sequencing technologies has promoted the use of transcriptomics in non-model organisms, including species in the aquaculture sector. Compared to that of other crustacean species, portunid crab aquaculture is impeded by the insufficient knowledge of their b...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
John wiley & Sons Australia, Ltd.
2025
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| Subjects: | |
| Online Access: | http://umt-ir.umt.edu.my:8080/handle/123456789/21754 |
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| Summary: | The rapid advancement of next-generation sequencing technologies has promoted
the use of transcriptomics in non-model organisms, including species in the aquaculture
sector. Compared to that of other crustacean species, portunid crab aquaculture
is impeded by the insufficient knowledge of their biological and physiological processes.
This systematic review summarised the advances in transcriptomics in cultured
portunid crabs using a systematic literature review methodology. The filtered
transcriptome dataset comprised 66 articles from four genera: Scylla, Portunus, Callinectes
and Charybdis. At the species level, Scylla paramamosain and Portunus trituberculatus
were the two most studied species, highlighting their importance in the
aquaculture sector. The affordable cost of RNA sequencing (RNA-Seq) led to an
increase in transcriptome-related research in portunid crabs and made available a
huge repertoire of differentially expressed genes (DEGs) and single nucleotide polymorphisms
(SNPs). We further discussed the transcriptomic advances based on six
main functional categories, that is, ‘growth and moulting’, ‘gonadal development and
reproduction’, ‘nutrition metabolism’, ‘disease and immunity’, ‘toxicology and stress’
and ‘general transcriptomic profiling’. In general, transcriptomic studies of portunid
crabs, specifically the DEGs and pathways allow an in-depth understanding of the
biological and physiological processes involved at different growth stages or under
various conditions based on the difference in gene transcriptional activity. SNPs
obtained from the transcriptome data are useful in many genetic improvementrelated
downstream applications, including the construction of genetic linkage maps
and as population genetic markers. Future directions, such as hybrid approaches of
long-read and common RNA-Seq, and the incorporation of other omics were also
discussed. |
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