Evidence map›Paper›PMID 26798258›Full record

ArticleZooKeys2015

Relevant genetic differentiation among Brazilian populations of Anastrepha fraterculus (Diptera, Tephritidae).

Mosè Manni, Kátia Manuela Lima, Carmela Rosalba Guglielmino, Silvia Beatriz Lanzavecchia, Marianela Juri, Teresa Vera, Jorge Cladera, Francesca Scolari, Ludvik Gomulski, Mariangela Bonizzoni and 3 more

Abstract read
In one paragraph

Article in ZooKeys, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Mosè ManniDepartment of Biology & Biotechnology, University of Pavia, Via A. Ferrata 9, 27100 Pavia, Italy.
Kátia Manuela LimaDepartment of Biology & Biotechnology, University of Pavia, Via A. Ferrata 9, 27100 Pavia, Italy.
Carmela Rosalba GuglielminoDepartment of Biology & Biotechnology, University of Pavia, Via A. Ferrata 9, 27100 Pavia, Italy.
Silvia Beatriz LanzavecchiaInstituto Genética EA Favret, Instituto Nacional de Tecnología Agropecuaria, 1686 Hurlingham, Provincia Buenos Aires, Argentina.
Marianela JuriInstituto Genética EA Favret, Instituto Nacional de Tecnología Agropecuaria, 1686 Hurlingham, Provincia Buenos Aires, Argentina.
Teresa VeraConsejo Nacional de Investigaciones Científicas y Técnicas, Av. Rivadavia 1917, Buenos Aires, Argentina; Facultad de Agronomía y Zootecnia, Universidad Nacional de Tucumán, Florentino Ameghino s/n (4000), Tucumán, Argentina.
Jorge CladeraInstituto Genética EA Favret, Instituto Nacional de Tecnología Agropecuaria, 1686 Hurlingham, Provincia Buenos Aires, Argentina.
Francesca ScolariDepartment of Biology & Biotechnology, University of Pavia, Via A. Ferrata 9, 27100 Pavia, Italy.
Ludvik GomulskiDepartment of Biology & Biotechnology, University of Pavia, Via A. Ferrata 9, 27100 Pavia, Italy.
Mariangela BonizzoniDepartment of Biology & Biotechnology, University of Pavia, Via A. Ferrata 9, 27100 Pavia, Italy.
Giuliano GasperiDepartment of Biology & Biotechnology, University of Pavia, Via A. Ferrata 9, 27100 Pavia, Italy.
Janisete Gomes SilvaDepartamento de Ciências Biológicas, Universidade Estadual de Santa Cruz, Rodovia Jorge Amado km 16, 45650-000 - Ilhéus, Bahia, Brazil.
Anna Rodolfa MalacridaDepartment of Biology & Biotechnology, University of Pavia, Via A. Ferrata 9, 27100 Pavia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We used a population genetic approach to detect the presence of genetic diversity among six populations of Anastrepha fraterculus across Brazil. To this aim, we used Simple Sequence Repeat (SSR) markers, which may capture the presence of differentiative processes across the genome in distinct populations. Spatial analyses of molecular variance were used to identify groups of populations that are both genetically and geographically homogeneous while also being maximally differentiated from each other. The spatial analysis of genetic diversity indicates that the levels of diversity among the six populations vary significantly on an eco-geographical basis. Particularly, altitude seems to represent a differentiating adaptation, as the main genetic differentiation is detected between the two populations present at higher altitudes and the other four populations at sea level. The data, together with the outcomes from different cluster analyses, identify a genetic diversity pattern that overlaps with the distribution of the known morphotypes in the Brazilian area.

Indexed as

Anastrepha fraterculusmicrosatellitesmorphotypespopulation genetic differentiation

Identifiers

PMID26798258
PMCPMC4714068

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.