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Sundar Panja A. The systematic codon usage bias has an important effect on genetic adaption in native species. Gene 2024; 926:148627. [PMID: 38823656 DOI: 10.1016/j.gene.2024.148627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 05/06/2024] [Accepted: 05/29/2024] [Indexed: 06/03/2024]
Abstract
Random mutations increase genetic variety and natural selection enhances adaption over generations. Codon usage biases (CUB) provide clues about the genome adaptation mechanisms of native species and extremophile species. Significant numbers of gene (CDS) of nine classes of endangered, native species, including extremophiles and mesophiles were utilised to compute CUB. Codon usage patterns differ among the lineages of endangered and extremophiles with native species. Polymorphic usage of nucleotides with codon burial suggests parallelism of native species within relatively confined taxonomic groups. Utilizing the deviation pattern of CUB of endangered and native species, I present a calculation parameter to estimate the extinction risk of endangered species. Species diversity and extinction risk are both positively associated with the propensity of random mutation in CDS (Coding DNA sequence). Codon bias tenet profoundly selected and it governs to adaptive evolution of native species.
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Affiliation(s)
- Anindya Sundar Panja
- Department of Biotechnology, Molecular Informatics Laboratory, Oriental Institute of Science and Technology, Vidyasagar University, Midnapore, West Bengal 721102, India.
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Sejour R, Leatherwood J, Yurovsky A, Futcher B. Enrichment of rare codons at 5' ends of genes is a spandrel caused by evolutionary sequence turnover and does not improve translation. eLife 2024; 12:RP89656. [PMID: 39008347 PMCID: PMC11249729 DOI: 10.7554/elife.89656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/16/2024] Open
Abstract
Previously, Tuller et al. found that the first 30-50 codons of the genes of yeast and other eukaryotes are slightly enriched for rare codons. They argued that this slowed translation, and was adaptive because it queued ribosomes to prevent collisions. Today, the translational speeds of different codons are known, and indeed rare codons are translated slowly. We re-examined this 5' slow translation 'ramp.' We confirm that 5' regions are slightly enriched for rare codons; in addition, they are depleted for downstream Start codons (which are fast), with both effects contributing to slow 5' translation. However, we also find that the 5' (and 3') ends of yeast genes are poorly conserved in evolution, suggesting that they are unstable and turnover relatively rapidly. When a new 5' end forms de novo, it is likely to include codons that would otherwise be rare. Because evolution has had a relatively short time to select against these codons, 5' ends are typically slightly enriched for rare, slow codons. Opposite to the expectation of Tuller et al., we show by direct experiment that genes with slowly translated codons at the 5' end are expressed relatively poorly, and that substituting faster synonymous codons improves expression. Direct experiment shows that slow codons do not prevent downstream ribosome collisions. Further informatic studies suggest that for natural genes, slow 5' ends are correlated with poor gene expression, opposite to the expectation of Tuller et al. Thus, we conclude that slow 5' translation is a 'spandrel'--a non-adaptive consequence of something else, in this case, the turnover of 5' ends in evolution, and it does not improve translation.
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Affiliation(s)
- Richard Sejour
- Department of Pharmacological Sciences, Stony Brook UniversityStony BrookUnited States
| | - Janet Leatherwood
- Department of Microbiology and Immunology, Stony Brook UniversityStony BrookUnited States
| | - Alisa Yurovsky
- Department of Biomedical Informatics, Stony Brook UniversityStony BrookUnited States
| | - Bruce Futcher
- Department of Microbiology and Immunology, Stony Brook UniversityStony BrookUnited States
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Akeju OJ, Cope AL. Re-examining Correlations Between Synonymous Codon Usage and Protein Bond Angles in Escherichia coli. Genome Biol Evol 2024; 16:evae080. [PMID: 38619010 PMCID: PMC11077309 DOI: 10.1093/gbe/evae080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 04/05/2024] [Accepted: 04/10/2024] [Indexed: 04/16/2024] Open
Abstract
Rosenberg AA, Marx A, Bronstein AM (Codon-specific Ramachandran plots show amino acid backbone conformation depends on identity of the translated codon. Nat Commun. 2022:13:2815) recently found a surprising correlation between synonymous codon usage and the dihedral bond angles of the resulting amino acid. However, their analysis did not account for the strongest known correlate of codon usage: gene expression. We re-examined the relationship between bond angles and codon usage by applying the approach of Rosenberg et al. to simulated protein-coding sequences that (i) have random codon usage, (ii) codon usage determined by mutation biases, and (iii) maintain the general relationship between codon usage and gene expression via the assumption of selection-mutation-drift equilibrium. We observed correlations between dihedral bond angle and codon usage when codon usage is entirely random, indicating possible conflation of noise with differences in bond angle distributions between synonymous codons. More relevant to the general analysis of codon usage patterns, we found surprisingly good agreement between the analysis of the real sequences and the analysis of sequences simulated assuming selection-mutation-drift equilibrium, with 91% of significant synonymous codon pairs detected in the former were also detected in the latter. We believe the correlation between codon usage and dihedral bond angles resulted from the variation in codon usage across genes due to the interplay between mutation bias, natural selection for translation efficiency, and gene expression, further underscoring these factors must be controlled for when looking for novel patterns related to codon usage.
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Affiliation(s)
| | - Alexander L Cope
- Department of Genetics, Rutgers University, Piscataway, New Jersey, USA
- Human Genetics Institute of New Jersey, Rutgers University, Piscataway, New Jersey, USA
- Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA
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Johnson MM, Hockenberry AJ, McGuffie MJ, Vieira LC, Wilke CO. Growth-dependent Gene Expression Variation Influences the Strength of Codon Usage Biases. Mol Biol Evol 2023; 40:msad189. [PMID: 37619989 PMCID: PMC10482319 DOI: 10.1093/molbev/msad189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 08/11/2023] [Indexed: 08/26/2023] Open
Abstract
The most highly expressed genes in microbial genomes tend to use a limited set of synonymous codons, often referred to as "preferred codons." The existence of preferred codons is commonly attributed to selection pressures on various aspects of protein translation including accuracy and/or speed. However, gene expression is condition-dependent and even within single-celled organisms transcript and protein abundances can vary depending on a variety of environmental and other factors. Here, we show that growth rate-dependent expression variation is an important constraint that significantly influences the evolution of gene sequences. Using large-scale transcriptomic and proteomic data sets in Escherichia coli and Saccharomyces cerevisiae, we confirm that codon usage biases are strongly associated with gene expression but highlight that this relationship is most pronounced when gene expression measurements are taken during rapid growth conditions. Specifically, genes whose relative expression increases during periods of rapid growth have stronger codon usage biases than comparably expressed genes whose expression decreases during rapid growth conditions. These findings highlight that gene expression measured in any particular condition tells only part of the story regarding the forces shaping the evolution of microbial gene sequences. More generally, our results imply that microbial physiology during rapid growth is critical for explaining long-term translational constraints.
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Affiliation(s)
- Mackenzie M Johnson
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
| | - Adam J Hockenberry
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
| | - Matthew J McGuffie
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX, USA
| | - Luiz Carlos Vieira
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
| | - Claus O Wilke
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
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Musik JE, Zalucki YM, Beacham IR, Jennings MP. The role of signal sequence proximal residues in the mature region of bacterial secreted proteins in E. coli. BIOCHIMICA ET BIOPHYSICA ACTA. BIOMEMBRANES 2022; 1864:184000. [PMID: 35798072 DOI: 10.1016/j.bbamem.2022.184000] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 06/18/2022] [Accepted: 06/24/2022] [Indexed: 06/15/2023]
Abstract
Secreted proteins contain an N-terminal signal peptide to guide them through the secretion pathway. Once the protein is translocated, the signal peptide is removed by a signal peptidase, such as signal peptidase I. The signal peptide has been extensively studied and reviewed; however, the mature region has not been the focus of review. Here we cover the experimental evidence that highlights the important role of the mature region amino acid residues in both the efficiency and the ability of secreted proteins to be successfully exported via secretion pathways and cleaved by signal peptidase I.
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Affiliation(s)
- Joanna E Musik
- Institute for Glycomics, Griffith University, Gold Coast Campus, Gold Coast, QLD, 4222, Australia
| | - Yaramah M Zalucki
- Institute for Glycomics, Griffith University, Gold Coast Campus, Gold Coast, QLD, 4222, Australia.
| | - Ifor R Beacham
- Institute for Glycomics, Griffith University, Gold Coast Campus, Gold Coast, QLD, 4222, Australia
| | - Michael P Jennings
- Institute for Glycomics, Griffith University, Gold Coast Campus, Gold Coast, QLD, 4222, Australia.
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Cope AL, Gilchrist MA. Quantifying shifts in natural selection on codon usage between protein regions: a population genetics approach. BMC Genomics 2022; 23:408. [PMID: 35637464 PMCID: PMC9153123 DOI: 10.1186/s12864-022-08635-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 05/03/2022] [Indexed: 11/28/2022] Open
Abstract
Background Codon usage bias (CUB), the non-uniform usage of synonymous codons, occurs across all domains of life. Adaptive CUB is hypothesized to result from various selective pressures, including selection for efficient ribosome elongation, accurate translation, mRNA secondary structure, and/or protein folding. Given the critical link between protein folding and protein function, numerous studies have analyzed the relationship between codon usage and protein structure. The results from these studies have often been contradictory, likely reflecting the differing methods used for measuring codon usage and the failure to appropriately control for confounding factors, such as differences in amino acid usage between protein structures and changes in the frequency of different structures with gene expression. Results Here we take an explicit population genetics approach to quantify codon-specific shifts in natural selection related to protein structure in S. cerevisiae and E. coli. Unlike other metrics of codon usage, our approach explicitly separates the effects of natural selection, scaled by gene expression, and mutation bias while naturally accounting for a region’s amino acid usage. Bayesian model comparisons suggest selection on codon usage varies only slightly between helix, sheet, and coil secondary structures and, similarly, between structured and intrinsically-disordered regions. Similarly, in contrast to prevous findings, we find selection on codon usage only varies slightly at the termini of helices in E. coli. Using simulated data, we show this previous work indicating “non-optimal” codons are enriched at the beginning of helices in S. cerevisiae was due to failure to control for various confounding factors (e.g. amino acid biases, gene expression, etc.), and rather than selection to modulate cotranslational folding. Conclusions Our results reveal a weak relationship between codon usage and protein structure, indicating that differences in selection on codon usage between structures are slight. In addition to the magnitude of differences in selection between protein structures being slight, the observed shifts appear to be idiosyncratic and largely codon-specific rather than systematic reversals in the nature of selection. Overall, our work demonstrates the statistical power and benefits of studying selective shifts on codon usage or other genomic features from an explicitly evolutionary approach. Limitations of this approach and future potential research avenues are discussed. Supplementary Information The online version contains supplementary material available at (10.1186/s12864-022-08635-0).
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Affiliation(s)
- Alexander L Cope
- Genome Science and Technology, University of Tennessee, Knoxville, United States.,Current Address: Department of Genetics, Rutgers University, Piscataway, United States
| | - Michael A Gilchrist
- Genome Science and Technology, University of Tennessee, Knoxville, United States. .,National Institute for Mathematical and Biological Synthesis, Knoxville, TN, United States. .,Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, United States.
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Callens M, Pradier L, Finnegan M, Rose C, Bedhomme S. Read between the lines: Diversity of non-translational selection pressures on local codon usage. Genome Biol Evol 2021; 13:6263832. [PMID: 33944930 PMCID: PMC8410138 DOI: 10.1093/gbe/evab097] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/28/2021] [Indexed: 12/14/2022] Open
Abstract
Protein coding genes can contain specific motifs within their nucleotide sequence that function as a signal for various biological pathways. The presence of such sequence motifs within a gene can have beneficial or detrimental effects on the phenotype and fitness of an organism, and this can lead to the enrichment or avoidance of this sequence motif. The degeneracy of the genetic code allows for the existence of alternative synonymous sequences that exclude or include these motifs, while keeping the encoded amino acid sequence intact. This implies that locally, there can be a selective pressure for preferentially using a codon over its synonymous alternative in order to avoid or enrich a specific sequence motif. This selective pressure could -in addition to mutation, drift and selection for translation efficiency and accuracy- contribute to shape the codon usage bias. In this review, we discuss patterns of avoidance of (or enrichment for) the various biological signals contained in specific nucleotide sequence motifs: transcription and translation initiation and termination signals, mRNA maturation signals, and antiviral immune system targets. Experimental data on the phenotypic or fitness effects of synonymous mutations in these sequence motifs confirm that they can be targets of local selection pressures on codon usage. We also formulate the hypothesis that transposable elements could have a similar impact on codon usage through their preferred integration sequences. Overall, selection on codon usage appears to be a combination of a global selection pressure imposed by the translation machinery, and a patchwork of local selection pressures related to biological signals contained in specific sequence motifs.
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Affiliation(s)
- Martijn Callens
- Centre d'Ecologie Fonctionnelle et Evolutive, CNRS, Université de Montpellier, Université Paul Valéry Montpellier 3, Ecole Pratique des Hautes Etudes, Institut de Recherche pour le Développement, 34000 Montpellier, France
| | - Léa Pradier
- Centre d'Ecologie Fonctionnelle et Evolutive, CNRS, Université de Montpellier, Université Paul Valéry Montpellier 3, Ecole Pratique des Hautes Etudes, Institut de Recherche pour le Développement, 34000 Montpellier, France
| | - Michael Finnegan
- Centre d'Ecologie Fonctionnelle et Evolutive, CNRS, Université de Montpellier, Université Paul Valéry Montpellier 3, Ecole Pratique des Hautes Etudes, Institut de Recherche pour le Développement, 34000 Montpellier, France
| | - Caroline Rose
- Centre d'Ecologie Fonctionnelle et Evolutive, CNRS, Université de Montpellier, Université Paul Valéry Montpellier 3, Ecole Pratique des Hautes Etudes, Institut de Recherche pour le Développement, 34000 Montpellier, France
| | - Stéphanie Bedhomme
- Centre d'Ecologie Fonctionnelle et Evolutive, CNRS, Université de Montpellier, Université Paul Valéry Montpellier 3, Ecole Pratique des Hautes Etudes, Institut de Recherche pour le Développement, 34000 Montpellier, France
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Landerer C, O'Meara BC, Zaretzki R, Gilchrist MA. Unlocking a signal of introgression from codons in Lachancea kluyveri using a mutation-selection model. BMC Evol Biol 2020; 20:109. [PMID: 32842959 PMCID: PMC7449078 DOI: 10.1186/s12862-020-01649-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 07/01/2020] [Indexed: 11/18/2022] Open
Abstract
Background For decades, codon usage has been used as a measure of adaptation for translational efficiency and translation accuracy of a gene’s coding sequence. These patterns of codon usage reflect both the selective and mutational environment in which the coding sequences evolved. Over this same period, gene transfer between lineages has become widely recognized as an important biological phenomenon. Nevertheless, most studies of codon usage implicitly assume that all genes within a genome evolved under the same selective and mutational environment, an assumption violated when introgression occurs. In order to better understand the effects of introgression on codon usage patterns and vice versa, we examine the patterns of codon usage in Lachancea kluyveri, a yeast which has experienced a large introgression. We quantify the effects of mutation bias and selection for translation efficiency on the codon usage pattern of the endogenous and introgressed exogenous genes using a Bayesian mixture model, ROC SEMPPR, which is built on mechanistic assumptions about protein synthesis and grounded in population genetics. Results We find substantial differences in codon usage between the endogenous and exogenous genes, and show that these differences can be largely attributed to differences in mutation bias favoring A/T ending codons in the endogenous genes while favoring C/G ending codons in the exogenous genes. Recognizing the two different signatures of mutation bias and selection improves our ability to predict protein synthesis rate by 42% and allowed us to accurately assess the decaying signal of endogenous codon mutation and preferences. In addition, using our estimates of mutation bias and selection, we identify Eremothecium gossypii as the closest relative to the exogenous genes, providing an alternative hypothesis about the origin of the exogenous genes, estimate that the introgression occurred ∼6×108 generation ago, and estimate its historic and current selection against mismatched codon usage. Conclusions Our work illustrates how mechanistic, population genetic models like ROC SEMPPR can separate the effects of mutation and selection on codon usage and provide quantitative estimates from sequence data.
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Affiliation(s)
- Cedric Landerer
- Department of Ecology & Evolutionary Biology, University of Tennessee, Knoxville, 37996, TN, USA. .,National Institute for Mathematical and Biological Synthesis, Knoxville, 37996, TN, USA. .,Max-Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstr. 108, Dresden, 01307, Germany.
| | - Brian C O'Meara
- Department of Ecology & Evolutionary Biology, University of Tennessee, Knoxville, 37996, TN, USA.,National Institute for Mathematical and Biological Synthesis, Knoxville, 37996, TN, USA
| | - Russell Zaretzki
- National Institute for Mathematical and Biological Synthesis, Knoxville, 37996, TN, USA.,Department of Business Analytics and Statistics, University of Tennessee, Knoxville, 37996, TN, USA
| | - Michael A Gilchrist
- Department of Ecology & Evolutionary Biology, University of Tennessee, Knoxville, 37996, TN, USA.,National Institute for Mathematical and Biological Synthesis, Knoxville, 37996, TN, USA
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Xie J, Cheng C, Jie Y, Ma H, Feng J, Su Y, Deng Y, Xu H, Guo Z. Expression of lactate dehydrogenase is induced during hypoxia via HIF-1 in the mud crab Scylla paramamosain. Comp Biochem Physiol C Toxicol Pharmacol 2019; 225:108563. [PMID: 31276813 DOI: 10.1016/j.cbpc.2019.108563] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 06/14/2019] [Accepted: 06/25/2019] [Indexed: 01/01/2023]
Abstract
Lactate dehydrogenase (LDH) is a key enzyme involved in anaerobic metabolism in most organisms. In the present study, we determined the structure and function of LDH sequence in Scylla paramamosain (SpLDH) by gene cloning, expression and RNA interference techniques in order to explore the genetic characteristics of LDH and its relationship with HIF-1 during hypoxia. The full-length cDNA was 1453 bp with an open reading frame (ORF) of 996 bp, and encoded a polypeptide of 332 amino acids. Homology analysis showed that the SpLDH gene is highly similar to arthropods. The SpLDH transcript increased after hypoxia in all tested tissues. The silencing of HIF-1 blocked the increase in LDH mRNA and activity, which were induced by hypoxia in gill and muscle tissues. Our results indicated that SpLDH expression was regulated transcriptionally by HIF-1.
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Affiliation(s)
- Jiawei Xie
- Key Laboratory of Aquatic Product Processing, Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong 510300, PR China; Shanghai Ocean University, Shanghai 201206, PR China
| | - Changhong Cheng
- Key Laboratory of Aquatic Product Processing, Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong 510300, PR China
| | - Yukun Jie
- Key Laboratory of Aquatic Product Processing, Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong 510300, PR China; Shanghai Ocean University, Shanghai 201206, PR China
| | - Hongling Ma
- Key Laboratory of Aquatic Product Processing, Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong 510300, PR China
| | - Juan Feng
- Key Laboratory of Aquatic Product Processing, Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong 510300, PR China
| | - Youlu Su
- Key Laboratory of Aquatic Product Processing, Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong 510300, PR China
| | - Yiqin Deng
- Key Laboratory of Aquatic Product Processing, Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong 510300, PR China
| | - Haidong Xu
- Key Laboratory of Aquatic Product Processing, Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong 510300, PR China
| | - Zhixun Guo
- Key Laboratory of Aquatic Product Processing, Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, Guangdong 510300, PR China; Shanghai Ocean University, Shanghai 201206, PR China.
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