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Population genetics of Collisella subrugosa (Patellogastropoda: Acmaeidae): evidence of two scales of population structure

Overview of attention for article published in Genetica, August 2006
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Title
Population genetics of Collisella subrugosa (Patellogastropoda: Acmaeidae): evidence of two scales of population structure
Published in
Genetica, August 2006
DOI 10.1007/s10709-006-0024-3
Pubmed ID
Authors

Juliana José, Vera Nisaka Solferini

Abstract

Marine invertebrate populations usually show high levels of genetic variability that has frequently been associated with spatial and temporal environmental heterogeneity. One of the most heterogeneous marine environments is the intertidal zone, the habitat of Collisella subrugosa, the most widespread and abundant Brazilian limpet. C. subrugosa has planktonic larvae that can disperse over long distances, what can promote gene flow among shores, working against interpopulational differentiation. In this study we investigated the genetic variability and populational substructure of C. subrugosa through analysis of 24 allozyme loci in 14 samples (590 individuals) collected along 2,700 km of the Brazilian coast. The genetic variability was high ([Formula: see text] and [Formula: see text]), as expected for intertidal species. Genetic differentiation among samples was low (F (ST) = 0.03) what may reflect intensive gene flow associated with larval dispersal. However, we detected an isolation-by-distance pattern of population substructure in one sampled region. High levels of heterozygote deficiency were also observed for many loci in each sample. Alternative hypothesis are discussed, and the "breeding groups" is suggested to explain these pattern, indicating the main cause as environmental heterogeneity.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 3%
Germany 1 3%
Unknown 31 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 27%
Researcher 8 24%
Other 3 9%
Professor 3 9%
Student > Doctoral Student 2 6%
Other 5 15%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 61%
Environmental Science 6 18%
Unspecified 2 6%
Medicine and Dentistry 1 3%
Engineering 1 3%
Other 0 0%
Unknown 3 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 July 2011.
All research outputs
#7,453,827
of 22,787,797 outputs
Outputs from Genetica
#144
of 713 outputs
Outputs of similar age
#22,791
of 65,548 outputs
Outputs of similar age from Genetica
#4
of 14 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 713 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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