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Genetic Characterization of the Fish Piaractus brachypomus by Microsatellites Derived from Transcriptome Sequencing

Overview of attention for article published in Frontiers in Genetics, February 2018
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  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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Title
Genetic Characterization of the Fish Piaractus brachypomus by Microsatellites Derived from Transcriptome Sequencing
Published in
Frontiers in Genetics, February 2018
DOI 10.3389/fgene.2018.00046
Pubmed ID
Authors

Paulo H. Jorge, Vito A. Mastrochirico-Filho, Milene E. Hata, Natália J. Mendes, Raquel B. Ariede, Milena Vieira de Freitas, Manuel Vera, Fábio Porto-Foresti, Diogo T. Hashimoto

Abstract

The pirapitinga,Piaractus brachypomus(Characiformes, Serrasalmidae), is a fish from the Amazon basin and is considered to be one of the main native species used in aquaculture production in South America. The objectives of this study were: (1) to perform liver transcriptome sequencing of pirapitinga through NGS and then validate a set of microsatellite markers for this species; and (2) to use polymorphic microsatellites for analysis of genetic variability in farmed stocks. The transcriptome sequencing was carried out through the Roche/454 technology, which resulted in 3,696 non-redundant contigs. Of this total, 2,568 contigs had similarity in the non-redundant (nr) protein database (Genbank) and 2,075 sequences were characterized in the categories of Gene Ontology (GO). After the validation process of 30 microsatellite loci, eight markers showed polymorphism. The analysis of these polymorphic markers in farmed stocks revealed that fish farms from North Brazil had a higher genetic diversity than fish farms from Southeast Brazil. AMOVA demonstrated that the highest proportion of variation was presented within the populations. However, when comparing different groups (1: Wild; 2: North fish farms; 3: Southeast fish farms), a considerable variation between the groups was observed. TheFSTvalues showed the occurrence of genetic structure among the broodstocks from different regions of Brazil. The transcriptome sequencing in pirapitinga provided important genetic resources for biological studies in this non-model species, and microsatellite data can be used as the framework for the genetic management of breeding stocks in Brazil, which might provide a basis for a genetic pre-breeding programme.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 18%
Student > Master 6 13%
Student > Bachelor 6 13%
Student > Doctoral Student 3 7%
Student > Ph. D. Student 3 7%
Other 7 16%
Unknown 12 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 24%
Biochemistry, Genetics and Molecular Biology 11 24%
Environmental Science 3 7%
Engineering 3 7%
Immunology and Microbiology 2 4%
Other 1 2%
Unknown 14 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 15 March 2022.
All research outputs
#6,980,815
of 23,339,727 outputs
Outputs from Frontiers in Genetics
#2,125
of 12,357 outputs
Outputs of similar age
#120,498
of 331,764 outputs
Outputs of similar age from Frontiers in Genetics
#36
of 123 outputs
Altmetric has tracked 23,339,727 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 12,357 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 82% 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 331,764 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 63% of its contemporaries.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.