Evidence map›Paper›PMID 29020740›Full record

ArticleGigaScience2017

Positive and relaxed selection associated with flight evolution and loss in insect transcriptomes.

T Fatima Mitterboeck, Shanlin Liu, Sarah J Adamowicz, Jinzhong Fu, Rui Zhang, Wenhui Song, Karen Meusemann, Xin Zhou

Open access · goldAbstract read
In one paragraph

Article in GigaScience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

25 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 4 institutions in 5 countries.

T Fatima MitterboeckDepartment of Integrative Biology, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1 Canada.
Shanlin LiuBGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen, Guangdong Province, 518083 China.
Sarah J AdamowiczDepartment of Integrative Biology, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1 Canada.
Jinzhong FuDepartment of Integrative Biology, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1 Canada.
Rui ZhangBGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen, Guangdong Province, 518083 China.
Wenhui SongBGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen, Guangdong Province, 518083 China.
Karen MeusemannUniversity of Freiburg, Department for Biology I (Zoology), Evolutionary Biology and Ecology, Hauptstr. 1, D-79104 Freiburg, Germany.
Xin ZhouBeijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, 2 West Yuanmingyuan Rd., Haidian District, Beijing 100193, China.
BGI Group (China) · CNUniversity of Guelph · CAAustralian National Insect Collection · AUChina Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolution of powered flight is a major innovation that has facilitated the success of insects. Previously, studies of birds, bats, and insects have detected molecular signatures of differing selection regimes in energy-related genes associated with flight evolution and/or loss. Here, using DNA sequences from more than 1000 nuclear and mitochondrial protein-coding genes obtained from insect transcriptomes, we conduct a broader exploration of which gene categories display positive and relaxed selection at the origin of flight as well as with multiple independent losses of flight. We detected a number of categories of nuclear genes more often under positive selection in the lineage leading to the winged insects (Pterygota), related to catabolic processes such as proteases, as well as splicing-related genes. Flight loss was associated with relaxed selection signatures in splicing genes, mirroring the results for flight evolution. Similar to previous studies of flight loss in various animal taxa, we observed consistently higher nonsynonymous-to-synonymous substitution ratios in mitochondrial genes of flightless lineages, indicative of relaxed selection in energy-related genes. While oxidative phosphorylation genes were not detected as being under selection with the origin of flight specifically, they were most often detected as being under positive selection in holometabolous (complete metamorphosis) insects as compared with other insect lineages. This study supports some convergence in gene-specific selection pressures associated with flight ability, and the exploratory analysis provided some new insights into gene categories potentially associated with the gain and loss of flight in insects.

Indexed as

Flight, AnimalAnimalsEvolution, MolecularGenes, InsectGenes, MitochondrialInsectaTranscriptome1KITE projectflightflight lossInsect transcriptomesmolecular evolutionpositive selection

Identifiers

PMID29020740
PMCPMC5632299
OpenAlexW2745619054

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.