Evidence map›Paper›PMID 25837578›Full record

ArticleMolecular biology and evolution2015

Dissecting Molecular Evolution in the Highly Diverse Plant Clade Caryophyllales Using Transcriptome Sequencing.

Ya Yang, Michael J Moore, Samuel F Brockington, Douglas E Soltis, Gane Ka-Shu Wong, Eric J Carpenter, Yong Zhang, Li Chen, Zhixiang Yan, Yinlong Xie and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
42.6field-weighted citation impact, top 1% 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

84 citing papers in PubMed, 235 citations in OpenAlex.

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24 more citing papers are in PubMed but not listed here.

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

15 authors at 8 institutions in 5 countries.

Ya YangDepartment of Ecology & Evolutionary Biology, University of Michigan yangya@umich.edu eebsmith@umich.edu.
Michael J MooreDepartment of Biology, Oberlin College, Science Center K111, Oberlin, OH.
Samuel F BrockingtonDepartment of Plant Sciences, University of Cambridge, Cambridge, United Kingdom.
Douglas E SoltisDepartment of Biology, University of Florida Florida Museum of Natural History, University of Florida Genetics Institute, University of Florida.
Gane Ka-Shu WongDepartment of Biological Sciences, University of Alberta, Edmonton, AB, Canada Department of Medicine, University of Alberta, Edmonton, AB, Canada BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen, China.
Eric J CarpenterDepartment of Biological Sciences, University of Alberta, Edmonton, AB, Canada.
Yong ZhangBGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen, China.
Li ChenBGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen, China.
Zhixiang YanBGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen, China.
Yinlong XieBGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen, China.
Rowan F SageDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada.
Sarah CovshoffDepartment of Plant Sciences, University of Cambridge, Cambridge, United Kingdom.
Julian M HibberdDepartment of Plant Sciences, University of Cambridge, Cambridge, United Kingdom.
Matthew N NelsonSchool of Plant Biology, The University of Western Australia, Crawley, WA, Australia.
Stephen A SmithDepartment of Ecology & Evolutionary Biology, University of Michigan yangya@umich.edu eebsmith@umich.edu.
BGI Group (China) · CNUniversity of Cambridge · GBUniversity of Michigan–Ann Arbor · USOberlin College · USUniversity of Alberta · CAUniversity of Florida · USUniversity of Toronto · CAUniversity of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many phylogenomic studies based on transcriptomes have been limited to "single-copy" genes due to methodological challenges in homology and orthology inferences. Only a relatively small number of studies have explored analyses beyond reconstructing species relationships. We sampled 69 transcriptomes in the hyperdiverse plant clade Caryophyllales and 27 outgroups from annotated genomes across eudicots. Using a combined similarity- and phylogenetic tree-based approach, we recovered 10,960 homolog groups, where each was represented by at least eight ingroup taxa. By decomposing these homolog trees, and taking gene duplications into account, we obtained 17,273 ortholog groups, where each was represented by at least ten ingroup taxa. We reconstructed the species phylogeny using a 1,122-gene data set with a gene occupancy of 92.1%. From the homolog trees, we found that both synonymous and nonsynonymous substitution rates in herbaceous lineages are up to three times as fast as in their woody relatives. This is the first time such a pattern has been shown across thousands of nuclear genes with dense taxon sampling. We also pinpointed regions of the Caryophyllales tree that were characterized by relatively high frequencies of gene duplication, including three previously unrecognized whole-genome duplications. By further combining information from homolog tree topology and synonymous distance between paralog pairs, phylogenetic locations for 13 putative genome duplication events were identified. Genes that experienced the greatest gene family expansion were concentrated among those involved in signal transduction and oxidoreduction, including a cytochrome P450 gene that encodes a key enzyme in the betalain synthesis pathway. Our approach demonstrates a new approach for functional phylogenomic analysis in nonmodel species that is based on homolog groups in addition to inferred ortholog groups.

Indexed as

Evolution, MolecularPhylogenyCaryophyllaceaeGene DuplicationGenome, PlantHigh-Throughput Nucleotide SequencingTranscriptomeCaryophyllalespaleopolyploidyRNA-seqsubstitution rate heterogeneity

Identifiers

PMID25837578
PMCPMC4833068
OpenAlexW2096620535

What OpenQuestion holds

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LicenceCC BY
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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.