Evidence map›Paper›PMID 30151609›Full record

ArticleGenetica2018

Climatic adaptation of chromosomal inversions in Drosophila subobscura.

Maria Galludo, Jordi Canals, Laura Pineda-Cirera, Carla Esteve, Maria Rosselló, Joan Balanyà, Conxita Arenas, Francesc Mestres

Abstract read
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In one paragraph

Article in Genetica, 2018. 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.

  1. Article
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  11. The Cyclically SeasonalFrontiers in genetics · 2020
    Article
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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

8 authors.

Maria GalludoDepartament de Genètica, Microbiologia i Estadística, Secció Genètica Biomèdica, Evolució i Desenvolupament, Facultat de Biologia, Universitat de Barcelona, Av. Diagonal, 643, 08028, Barcelona, Spain.
Jordi CanalsDepartament de Genètica, Microbiologia i Estadística, Secció Genètica Biomèdica, Evolució i Desenvolupament, Facultat de Biologia, Universitat de Barcelona, Av. Diagonal, 643, 08028, Barcelona, Spain.
Laura Pineda-CireraDepartament de Genètica, Microbiologia i Estadística, Secció Genètica Biomèdica, Evolució i Desenvolupament, Facultat de Biologia, Universitat de Barcelona, Av. Diagonal, 643, 08028, Barcelona, Spain.
Carla EsteveDepartament de Genètica, Microbiologia i Estadística, Secció Genètica Biomèdica, Evolució i Desenvolupament, Facultat de Biologia, Universitat de Barcelona, Av. Diagonal, 643, 08028, Barcelona, Spain.
Maria RossellóDepartament de Genètica, Microbiologia i Estadística, Secció Genètica Biomèdica, Evolució i Desenvolupament, Facultat de Biologia, Universitat de Barcelona, Av. Diagonal, 643, 08028, Barcelona, Spain.
Joan BalanyàDepartament de Genètica, Microbiologia i Estadística, Secció Genètica Biomèdica, Evolució i Desenvolupament, Facultat de Biologia, Universitat de Barcelona, Av. Diagonal, 643, 08028, Barcelona, Spain.
Conxita ArenasDepartament de Genètica, Microbiologia i Estadística, Secció Estadística, Universitat de Barcelona, Barcelona, Spain.
Francesc MestresDepartament de Genètica, Microbiologia i Estadística, Secció Genètica Biomèdica, Evolució i Desenvolupament, Facultat de Biologia, Universitat de Barcelona, Av. Diagonal, 643, 08028, Barcelona, Spain. fmestres@ub.edu.ORCID http://orcid.org/0000-0002-9073-4862

Funding

Generalitat de Catalunya, Spain 2017SGR 1120Generalitat de Catalunya, Spain 2017SGR 622Ministerio de Economía y Competitividad, Spain CTM2017-88080 AEI/FEDER, UE
6 · The paper itself

Abstract

Drosophila subobscura is a species with a rich chromosomal polymorphism which is adaptive to different climatic conditions. Five samples of the Font Groga population (Barcelona, Spain) were sampled in autumn during 5 consecutive years (2011-2015) to obtain their inversion chromosomal polymorphism, and climatic data of several meteorological variables were also collected. The aim was to analyze the adaptive potential of inversions with regard to climatic variables, being the most relevant: mean temperature (T

Indexed as

Adaptation, BiologicalAdaptation, PhysiologicalAnimalsAnimals, WildChromosome InversionClimate ChangeDrosophilaDrosophila ProteinsGlobal WarmingPolymorphism, GeneticRainTemperatureDrosophila ProteinsAdaptationChromosomal inversionsGlobal warmingHumidityRainfallSelectionTemperature

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.