Evidence map›Paper›PMID 28512324›Full record

ArticleScientific reports2017

Global gene expression analysis provides insight into local adaptation to geothermal streams in tadpoles of the Andean toad Rhinella spinulosa.

Luis Pastenes, Camilo Valdivieso, Alex Di Genova, Dante Travisany, Andrew Hart, Martín Montecino, Ariel Orellana, Mauricio Gonzalez, Rodrigo A Gutiérrez, Miguel L Allende and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Decoding Local Adaptation in the Exploited Native Marine MusselInternational journal of molecular sciences · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
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

12 authors.

Luis PastenesCenter for Genome Regulation, Blanco Encalada 2085, Santiago, Chile.
Camilo ValdiviesoCenter for Genome Regulation, Blanco Encalada 2085, Santiago, Chile.
Alex Di GenovaCenter for Genome Regulation, Blanco Encalada 2085, Santiago, Chile.
Dante TravisanyCenter for Genome Regulation, Blanco Encalada 2085, Santiago, Chile.
Andrew HartCenter for Mathematical Modeling, Universidad de Chile, Beauchef 851, Santiago, Chile.
Martín MontecinoCenter for Genome Regulation, Blanco Encalada 2085, Santiago, Chile.
Ariel OrellanaCenter for Genome Regulation, Blanco Encalada 2085, Santiago, Chile.ORCID 0000-0002-9243-808X
Mauricio GonzalezCenter for Genome Regulation, Blanco Encalada 2085, Santiago, Chile.
Rodrigo A GutiérrezCenter for Genome Regulation, Blanco Encalada 2085, Santiago, Chile.
Miguel L AllendeCenter for Genome Regulation, Blanco Encalada 2085, Santiago, Chile.
Alejandro MaassCenter for Genome Regulation, Blanco Encalada 2085, Santiago, Chile.
Marco A MéndezCenter for Genome Regulation, Blanco Encalada 2085, Santiago, Chile. mmendez@uchile.cl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The anuran Rhinella spinulosa is distributed along the Andes Range at altitudes that undergo wide daily and seasonal variation in temperature. One of the populations inhabits geothermal streams, a stable environment that influences life history traits such as the timing of metamorphosis. To investigate whether this population has undergone local adaptation to this unique habitat, we carried out transcriptome analyses in animals from two localities in two developmental stages (prometamorphic and metamorphic) and exposed them to two temperatures (20 and 25 °C). RNA-Seq, de novo assembly and annotation defined a transcriptome revealing 194,469 high quality SNPs, with 1,507 genes under positive selection. Comparisons among the experimental conditions yielded 1,593 differentially expressed genes. A bioinformatics search for candidates revealed a total of 70 genes that are highly likely to be implicated in the adaptive response of the population living in a stable environment, compared to those living in an environment with variable temperatures. Most importantly, the population inhabiting the geothermal environment showed decreased transcriptional plasticity and reduced genetic variation compared to its counterpart from the non-stable environment. This analysis will help to advance the understanding of the molecular mechanisms that account for the local adaptation to geothermal streams in anurans.

Indexed as

Adaptation, BiologicalGene Expression ProfilingRiversTranscriptomeAnimalsBufonidaeComputational BiologyEcosystemGene Expression RegulationGenetic VariationHigh-Throughput Nucleotide SequencingLarvaMolecular Sequence AnnotationPolymorphism, Single NucleotideTemperature

Identifiers

PMID28512324
PMCPMC5434060

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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.