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Differential expression of reproduction‐related genes in shrimps from East Pacific fisheries.

  • Published In: Acta Zoologica, 2025, v. 106, n. 1. P. 65 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Jimenez‐Gutierrez, Laura R. 3 of 3

Abstract

Shrimp fisheries and culture are important food sources worldwide. Central East Pacific fisheries are mainly supported by four species: Penaeus brevirostris, P. californiensis, P. stylirostris and P. vannamei. However, the same shrimp fishery practices, management strategies and closures are applied to these four species despite their differences in life history and reproductive periods. Most molecular studies have focused on the cultured species P. vannamei, while knowledge for the rest of the species is scarce. Therefore, this study sought to examine the transcriptomes of these four shrimp species from the Mexican Pacific at different maturity stages. A total of 165 unigenes were found to be reproduction‐related in the four shrimp species. The genes with the highest overall expression levels were associated with ribosomes, transcription and methyltransferase pathways. Moreover, the reproduction‐related genes with the highest expression values were polehole protein and ovarian peritrophin. The major expression similarities were primarily among pre‐vitellogenic and vitellogenic females within each species, and secondly among the species P. brevirostris and P. californiensis and the species P. vannamei and P. stylirostris. Although these four species might share a geographical location or niche, the expression of reproduction related‐genes at different gonadal maturity stages exhibited species‐specific variations. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Acta Zoologica. 2025/01, Vol. 106, Issue 1, p65
  • Document Type:Article
  • Subject Area:Environmental Sciences
  • Publication Date:2025
  • ISSN:0001-7272
  • DOI:10.1111/azo.12496
  • Accession Number:181663689
  • Copyright Statement:Copyright of Acta Zoologica is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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