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Fatty acid desaturases are key enzymes involved in unsaturated fatty acid biosynthesis, which insert double bonds at specific positions of fatty acids, playing a pivotal role in unsaturated fatty acid synthesis required for membrane lipid fluidity. The ∆5 and ∆6 desaturases are responsible for producing long chain-polyunsaturated fatty acids (LC-PUFA) through their precursors α-linolenic acid and linoleic acid in organisms lacking or with very low ability to synthesize LC-PUFA by themselves. Extensive studies of fatty acid desaturases are available in model organisms, such as humans and mouse; however, the diversity of these genes in the marine biodiversity is less known. This study performed an exhaustive analysis to identify the ∆5 and ∆6 desaturases in the available marine genomes in databases, as well as transcriptomes and EST databases, and their coding sequences were compared to the well-characterized ∆5 and ∆6 desaturases from humans. The FADS1 and FADS2 genetic structures are well conserved among all the organisms analyzed. A common amino acid pattern was identified to discriminate between ∆5 and ∆6 desaturases. The analysis of the conserved motif involved in catalysis showed that 20% of the desaturases, ∆5 and ∆6, have lost motifs required for catalysis. Additionally, bifunctional ∆5/∆6 desaturases were able to be identified by amino acid sequence patterns found in previously described enzymes. A revision of the expression profiles and functional activity on sequences in databases and scientific literature provided information regarding the function of these marine organism enzymes., Competing Interests: Declaration of competing interest The authors declare that there is no conflict of interest., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Conservation of the evolutionary legacy of endangered species is a key component for long-term persistence. Totoaba is a long-lived fish endemic to the Gulf of California and is considered critically endangered. There is currently a debate concerning its conservation status and whether it can be used as a fishery resource. Unfortunately, basic information on biological and genetic population structure of the species is lacking. We sampled 313 individuals and employed 16 microsatellite loci and 3 mitochondrial DNA markers (16S, 547 pb; COI, 619 pb; control region, 650 pb) to assess population structure and demography of totoaba in the Gulf of California, with samples from locations that encompass nearly all of its recognized geographic distribution. We could not reject a hypothesis of panmixia for totoaba, using nuclear or mitochondrial markers. Demographic analysis of mtDNA suggests a sudden population expansion model. The results have important implications for totoaba conservation because poaching is a significant conservation challenge and could have additive negative effects over the single population of totoaba in the Gulf of California., (© The American Genetic Association 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Fisheries genomics is an emerging field that advocates the application of genomic tools to address questions in fisheries management. Genomic approaches bring a new paradigm for fisheries management by making it possible to integrate adaptive diversity to understand fundamental aspects of fisheries resources. Hence, this review is focused on the relevance of genomic approaches to solve fisheries-specific questions. Particularly the detection of adaptive diversity (outlier loci) provides unprecedented opportunity to understand bio-complexity, increased power to trace processed sample origin to allow enforcement and the potential to understand the genetic basis of micro-evolutionary effects of fisheries-induced evolution and climate change. The understanding of adaptive diversity patterns will be the cornerstone of the future links between fisheries and genomics. These studies will help stakeholders anticipate the potential effects of fishing or climate change on the resilience of fisheries stocks; consequently, in the near future, fisheries sciences might integrate evolutionary principles with fisheries management., (© The Author 2016. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)