Development of a new ‘ultrametric’ method for assessing spawning progression in female teleost serial spawners
Abstract The collection and presentation of accurate reproductive data from wild fish has historically been somewhat problematic, especially for serially spawning species. Therefore, the aim of the current study was to develop a novel method of assessing female spawning status that is robust to vari...
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ftdoajarticles:oai:doaj.org/article:a18968bde94842b5801b4029aa518d1b 2023-05-15T15:27:37+02:00 Development of a new ‘ultrametric’ method for assessing spawning progression in female teleost serial spawners Kelli C. Anderson Maud Alix Katerina Charitonidou Anders Thorsen Grethe Thorsheim Kostas Ganias Thassya C. dos Santos Schmidt Olav Sigurd Kjesbu 2020-06-01T00:00:00Z https://doi.org/10.1038/s41598-020-66601-w https://doaj.org/article/a18968bde94842b5801b4029aa518d1b EN eng Nature Portfolio https://doi.org/10.1038/s41598-020-66601-w https://doaj.org/toc/2045-2322 doi:10.1038/s41598-020-66601-w 2045-2322 https://doaj.org/article/a18968bde94842b5801b4029aa518d1b Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020) Medicine R Science Q article 2020 ftdoajarticles https://doi.org/10.1038/s41598-020-66601-w 2022-12-31T05:03:40Z Abstract The collection and presentation of accurate reproductive data from wild fish has historically been somewhat problematic, especially for serially spawning species. Therefore, the aim of the current study was to develop a novel method of assessing female spawning status that is robust to variation in oocyte dynamics between specimens. Atlantic cod (Barents Sea stock) were used to develop the new ‘ultrametric’ method, that is based on the progressive depletion of the vitellogenic oocyte pool relative to the rather constant previtellogenic oocyte (PVO) pool. Fish were subsequently partitioned into one of four categories that accurately reflected changes in their oocyte size frequency distribution characteristics and gonadosomatic index throughout spawning. The ultrametric method overcomes difficulties associated with presence of bimodal oocyte distributions, oocyte tails, lack of clear hiatus region, and presence of free ova, and can be implemented at a single sampling point. Much of the workflow is fully automated, and the technique may circumvent the need for histological analysis depending on the desired outcome. The ultrametric method differs from the traditional autodiametric method in that PVOs can be separated by ultrasonication and then enumerated, and ovarian homogeneity is not a mandatory requirement per se. The method is designed for determinate spawners but might be extended to include indeterminate spawners. Article in Journal/Newspaper atlantic cod Barents Sea Directory of Open Access Journals: DOAJ Articles Barents Sea Scientific Reports 10 1 |
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Directory of Open Access Journals: DOAJ Articles |
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English |
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Medicine R Science Q |
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Medicine R Science Q Kelli C. Anderson Maud Alix Katerina Charitonidou Anders Thorsen Grethe Thorsheim Kostas Ganias Thassya C. dos Santos Schmidt Olav Sigurd Kjesbu Development of a new ‘ultrametric’ method for assessing spawning progression in female teleost serial spawners |
topic_facet |
Medicine R Science Q |
description |
Abstract The collection and presentation of accurate reproductive data from wild fish has historically been somewhat problematic, especially for serially spawning species. Therefore, the aim of the current study was to develop a novel method of assessing female spawning status that is robust to variation in oocyte dynamics between specimens. Atlantic cod (Barents Sea stock) were used to develop the new ‘ultrametric’ method, that is based on the progressive depletion of the vitellogenic oocyte pool relative to the rather constant previtellogenic oocyte (PVO) pool. Fish were subsequently partitioned into one of four categories that accurately reflected changes in their oocyte size frequency distribution characteristics and gonadosomatic index throughout spawning. The ultrametric method overcomes difficulties associated with presence of bimodal oocyte distributions, oocyte tails, lack of clear hiatus region, and presence of free ova, and can be implemented at a single sampling point. Much of the workflow is fully automated, and the technique may circumvent the need for histological analysis depending on the desired outcome. The ultrametric method differs from the traditional autodiametric method in that PVOs can be separated by ultrasonication and then enumerated, and ovarian homogeneity is not a mandatory requirement per se. The method is designed for determinate spawners but might be extended to include indeterminate spawners. |
format |
Article in Journal/Newspaper |
author |
Kelli C. Anderson Maud Alix Katerina Charitonidou Anders Thorsen Grethe Thorsheim Kostas Ganias Thassya C. dos Santos Schmidt Olav Sigurd Kjesbu |
author_facet |
Kelli C. Anderson Maud Alix Katerina Charitonidou Anders Thorsen Grethe Thorsheim Kostas Ganias Thassya C. dos Santos Schmidt Olav Sigurd Kjesbu |
author_sort |
Kelli C. Anderson |
title |
Development of a new ‘ultrametric’ method for assessing spawning progression in female teleost serial spawners |
title_short |
Development of a new ‘ultrametric’ method for assessing spawning progression in female teleost serial spawners |
title_full |
Development of a new ‘ultrametric’ method for assessing spawning progression in female teleost serial spawners |
title_fullStr |
Development of a new ‘ultrametric’ method for assessing spawning progression in female teleost serial spawners |
title_full_unstemmed |
Development of a new ‘ultrametric’ method for assessing spawning progression in female teleost serial spawners |
title_sort |
development of a new ‘ultrametric’ method for assessing spawning progression in female teleost serial spawners |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doi.org/10.1038/s41598-020-66601-w https://doaj.org/article/a18968bde94842b5801b4029aa518d1b |
geographic |
Barents Sea |
geographic_facet |
Barents Sea |
genre |
atlantic cod Barents Sea |
genre_facet |
atlantic cod Barents Sea |
op_source |
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020) |
op_relation |
https://doi.org/10.1038/s41598-020-66601-w https://doaj.org/toc/2045-2322 doi:10.1038/s41598-020-66601-w 2045-2322 https://doaj.org/article/a18968bde94842b5801b4029aa518d1b |
op_doi |
https://doi.org/10.1038/s41598-020-66601-w |
container_title |
Scientific Reports |
container_volume |
10 |
container_issue |
1 |
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1766358034688245760 |