↓ Skip to main content

Genetic architecture of sex determination in fish: applications to sex ratio control in aquaculture

Overview of attention for article published in Frontiers in Genetics, September 2014
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
6 X users
peer_reviews
1 peer review site
facebook
1 Facebook page

Citations

dimensions_citation
188 Dimensions

Readers on

mendeley
336 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Genetic architecture of sex determination in fish: applications to sex ratio control in aquaculture
Published in
Frontiers in Genetics, September 2014
DOI 10.3389/fgene.2014.00340
Pubmed ID
Authors

Paulino Martínez, Ana M Viñas, Laura Sánchez, Noelia Díaz, Laia Ribas, Francesc Piferrer

Abstract

Controlling the sex ratio is essential in finfish farming. A balanced sex ratio is usually good for broodstock management, since it enables to develop appropriate breeding schemes. However, in some species the production of monosex populations is desirable because the existence of sexual dimorphism, primarily in growth or first time of sexual maturation, but also in color or shape, can render one sex more valuable. The knowledge of the genetic architecture of sex determination (SD) is convenient for controlling sex ratio and for the implementation of breeding programs. Unlike mammals and birds, which show highly conserved master genes that control a conserved genetic network responsible for gonad differentiation (GD), a huge diversity of SD mechanisms has been reported in fish. Despite theory predictions, more than one gene is in many cases involved in fish SD and genetic differences have been observed in the GD network. Environmental factors also play a relevant role and epigenetic mechanisms are becoming increasingly recognized for the establishment and maintenance of the GD pathways. Although major genetic factors are frequently involved in fish SD, these observations strongly suggest that SD in this group resembles a complex trait. Accordingly, the application of quantitative genetics combined with genomic tools is desirable to address its study and in fact, when applied, it has frequently demonstrated a multigene trait interacting with environmental factors in model and cultured fish species. This scenario has notable implications for aquaculture and, depending upon the species, from chromosome manipulation or environmental control techniques up to classical selection or marker assisted selection programs, are being applied. In this review, we selected four relevant species or fish groups to illustrate this diversity and hence the technologies that can be used by the industry for the control of sex ratio: turbot and European sea bass, two reference species of the European aquaculture, and salmonids and tilapia, representing the fish for which there are well established breeding programs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 336 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 <1%
United States 2 <1%
United Kingdom 1 <1%
Portugal 1 <1%
Unknown 330 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 59 18%
Student > Master 44 13%
Student > Ph. D. Student 42 13%
Student > Bachelor 30 9%
Student > Doctoral Student 28 8%
Other 59 18%
Unknown 74 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 166 49%
Biochemistry, Genetics and Molecular Biology 43 13%
Environmental Science 17 5%
Veterinary Science and Veterinary Medicine 4 1%
Immunology and Microbiology 2 <1%
Other 10 3%
Unknown 94 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 December 2017.
All research outputs
#5,983,946
of 22,764,165 outputs
Outputs from Frontiers in Genetics
#1,691
of 11,758 outputs
Outputs of similar age
#62,775
of 252,543 outputs
Outputs of similar age from Frontiers in Genetics
#28
of 117 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 11,758 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 252,543 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.