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Master-Key Regulators of Sex Determination in Fish and Other Vertebrates-A Review. Int J Mol Sci 2023; 24:ijms24032468. [PMID: 36768795 PMCID: PMC9917144 DOI: 10.3390/ijms24032468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 01/12/2023] [Accepted: 01/25/2023] [Indexed: 02/01/2023] Open
Abstract
In vertebrates, mainly single genes with an allele ratio of 1:1 trigger sex-determination (SD), leading to initial equal sex-ratios. Such genes are designated master-key regulators (MKRs) and are frequently associated with DNA structural variations, such as copy-number variation and null-alleles. Most MKR knowledge comes from fish, especially cichlids, which serve as a genetic model for SD. We list 14 MKRs, of which dmrt1 has been identified in taxonomically distant species such as birds and fish. The identification of MKRs with known involvement in SD, such as amh and fshr, indicates that a common network drives SD. We illustrate a network that affects estrogen/androgen equilibrium, suggesting that structural variation may exert over-expression of the gene and thus form an MKR. However, the reason why certain factors constitute MKRs, whereas others do not is unclear. The limited number of conserved MKRs suggests that their heterologous sequences could be used as targets in future searches for MKRs of additional species. Sex-specific mortality, sex reversal, the role of temperature in SD, and multigenic SD are examined, claiming that these phenomena are often consequences of artificial hybridization. We discuss the essentiality of taxonomic authentication of species to validate purebred origin before MKR searches.
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Durkin CA, Cetinić I, Estapa M, Ljubešić Z, Mucko M, Neeley A, Omand M. Tracing the path of carbon export in the ocean though DNA sequencing of individual sinking particles. THE ISME JOURNAL 2022; 16:1896-1906. [PMID: 35444263 PMCID: PMC9296562 DOI: 10.1038/s41396-022-01239-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 03/31/2022] [Accepted: 04/05/2022] [Indexed: 01/04/2023]
Abstract
Surface phytoplankton communities were linked with the carbon they export into the deep ocean by comparing 18 S rRNA gene sequence communities from surface seawater and individually isolated sinking particles. Particles were collected in sediment traps deployed at locations in the North Pacific subtropical gyre and the California Current. DNA was isolated from individual particles, bulk-collected trap particles, and the surface seawater. The relative sequence abundance of exported phytoplankton taxa in the surface water varied across functional groups and ecosystems. Of the sequences detected in sinking particles, about half were present in large (>300 μm), individually isolated particles and primarily belonged to taxa with small cell sizes (<50 µm). Exported phytoplankton taxa detected only in bulk trap samples, and thus presumably packaged in the smaller sinking size fraction, contained taxa that typically have large cell sizes (>500 μm). The effect of particle degradation on the detectable 18 S rRNA gene community differed across taxa, and differences in community composition among individual particles from the same location largely reflected differences in relative degradation state. Using these data and particle imaging, we present an approach that incorporates genetic diversity into mechanistic models of the ocean's biological carbon pump, which will lead to better quantification of the ocean's carbon cycle.
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Affiliation(s)
- Colleen A Durkin
- Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA.
| | - Ivona Cetinić
- Universities Space Research Association, Columbia, MD, USA
- Ocean Ecology Laboratory, NASA/Goddard Space Flight Center, Greenbelt, MD, USA
- GESTAR II, Morgan State University, Baltimore, MD, USA
| | - Margaret Estapa
- School of Marine Sciences, Darling Marine Center, University of Maine, Walpole, ME, USA
| | - Zrinka Ljubešić
- Biology Department, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | - Maja Mucko
- Biology Department, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | - Aimee Neeley
- Ocean Ecology Laboratory, NASA/Goddard Space Flight Center, Greenbelt, MD, USA
- Science Systems and Applications, Inc., Lanham, MD, USA
| | - Melissa Omand
- Graduate School of Oceanography, University of Rhode Island, Narragansett, RI, USA
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Borchel A, Komisarczuk AZ, Nilsen F. Sex differences in the early life stages of the salmon louse Lepeophtheirus salmonis (Copepoda: Caligidae). PLoS One 2022; 17:e0266022. [PMID: 35358250 PMCID: PMC8970357 DOI: 10.1371/journal.pone.0266022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 03/11/2022] [Indexed: 11/18/2022] Open
Abstract
Salmon lice are ectoparasites on salmonids and feed on blood, mucus, and skin from their hosts. This causes high annual costs for treatment and control for the aquaculture industry. Salmon lice have a life cycle consisting of eight life stages. Sex determination by eye is only possible from the sixth stage onwards. A molecular sex determination has not been carried out so far, even though few individual sex-linked SNPs have been reported. In the present study, we used known sex-specific SNPs as a basis to sequence the complete sex-specific gene variants and used the sequence information to develop a sex determination assay. This assay could be used to determine the developmental speed of the two sexes already in the earliest life stages. Additionally, we sampled salmon lice in the nauplius II stage, determined the sex of each individual, pooled their RNA according to their sex, and used RNA sequencing to search for differences in gene expression and further sex-specific SNPs. We succeeded in developing a sex-determination assay that works on DNA or RNA from even the earliest larval stages of the salmon louse after hatching. At these early developmental stages, male salmon lice develop slightly quicker than females. We detected several previously unknown, sex-specific SNPs in our RNA-data seq, but only very few genes showed a differential expression between the sexes. Potential connections between SNPs, gene expression, and development are discussed.
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Affiliation(s)
- Andreas Borchel
- Department of Biological Sciences, SLRC—Sea Lice Research Centre, University of Bergen, Bergen, Norway
- * E-mail:
| | - Anna Zofia Komisarczuk
- Department of Biological Sciences, SLRC—Sea Lice Research Centre, University of Bergen, Bergen, Norway
| | - Frank Nilsen
- Department of Biological Sciences, SLRC—Sea Lice Research Centre, University of Bergen, Bergen, Norway
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Barsanti L, Birindelli L, Gualtieri P. Water monitoring by means of digital microscopy identification and classification of microalgae. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2021; 23:1443-1457. [PMID: 34549767 DOI: 10.1039/d1em00258a] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Marine and freshwater microalgae belong to taxonomically and morphologically diverse groups of organisms spanning many phyla with thousands of species. These organisms play an important role as indicators of water ecosystem conditions since they react quickly and predictably to a broad range of environmental stressors, thus providing early signals of dangerous changes. Traditionally, microscopic analysis has been used to identify and enumerate different types of organisms present within a given environment at a given point in time. However, this approach is both time-consuming and labor intensive, as it relies on manual processing and classification of planktonic organisms present within collected water samples. Furthermore, it requires highly skilled specialists trained to recognize and distinguish one taxa from another on the basis of often subtle morphological differences. Given these restrictions, a considerable amount of effort has been recently funneled into automating different steps of both the sampling and classification processes, making it possible to generate previously unprecedented volumes of plankton image data and obtain an essential database to analyze the composition of plankton assemblages. In this review we report state-of-the-art methods used for automated plankton classification by means of digital microscopy. The computer-microscope system hardware and the image processing techniques used for recognition and classification of planktonic organisms (segmentation, shape feature extraction, pigment signature determination and neural network grouping) will be described. An introduction and overview of the topic, its current state and indications of future directions the field is expected to take will be provided, organizing the review for both experts and researchers new to the field.
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Affiliation(s)
- Laura Barsanti
- CNR, Istituto di Biofisica, Via Moruzzi 1, Pisa, 56124, Italy.
| | | | - Paolo Gualtieri
- CNR, Istituto di Biofisica, Via Moruzzi 1, Pisa, 56124, Italy.
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Hahn EE, Alexander MR, Grealy A, Stiller J, Gardiner DM, Holleley CE. Unlocking inaccessible historical genomes preserved in formalin. Mol Ecol Resour 2021; 22:2130-2147. [PMID: 34549888 DOI: 10.1111/1755-0998.13505] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 09/08/2021] [Accepted: 09/10/2021] [Indexed: 11/27/2022]
Abstract
Museum specimens represent an unparalleled record of historical genomic data. However, the widespread practice of formalin preservation has thus far impeded genomic analysis of a large proportion of specimens. Limited DNA sequencing from formalin-preserved specimens has yielded low genomic coverage with unpredictable success. We set out to refine sample processing methods and to identify specimen characteristics predictive of sequencing success. With a set of taxonomically diverse specimens collected between 1962 and 2006 and ranging in preservation quality, we compared the efficacy of several end-to-end whole genome sequencing workflows alongside a k-mer-based trimming-free read alignment approach to maximize mapping of endogenous sequence. We recovered complete mitochondrial genomes and up to 3× nuclear genome coverage from formalin-preserved tissues. Hot alkaline lysis coupled with phenol-chloroform extraction out-performed proteinase K digestion in recovering DNA, while library preparation method had little impact on sequencing success. The strongest predictor of DNA yield was overall specimen condition, which additively interacts with preservation conditions to accelerate DNA degradation. Here, we demonstrate a significant advance in capability beyond limited recovery of a small number of loci via PCR or target-capture sequencing. To facilitate strategic selection of suitable specimens for genomic sequencing, we present a decision-making framework that utilizes independent and nondestructive assessment criteria. Sequencing of formalin-preserved specimens will contribute to a greater understanding of temporal trends in genetic adaptation, including those associated with a changing climate. Our work enhances the value of museum collections worldwide by unlocking genomes of specimens that have been disregarded as a valid molecular resource.
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Affiliation(s)
- Erin E Hahn
- National Research Collections Australia, Commonwealth Scientific Industrial Research Organisation, Canberra, ACT, Australia
| | - Marina R Alexander
- National Research Collections Australia, Commonwealth Scientific Industrial Research Organisation, Canberra, ACT, Australia
| | - Alicia Grealy
- National Research Collections Australia, Commonwealth Scientific Industrial Research Organisation, Canberra, ACT, Australia
| | - Jiri Stiller
- Agriculture and Food, Commonwealth Scientific Industrial Research Organisation, St Lucia, Qld, Australia
| | - Donald M Gardiner
- Agriculture and Food, Commonwealth Scientific Industrial Research Organisation, St Lucia, Qld, Australia
| | - Clare E Holleley
- National Research Collections Australia, Commonwealth Scientific Industrial Research Organisation, Canberra, ACT, Australia
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