Evidence map›Paper›PMID 36083267›Full record

ArticleeLife2022

GENESPACE tracks regions of interest and gene copy number variation across multiple genomes.

John T Lovell, Avinash Sreedasyam, M Eric Schranz, Melissa Wilson, Joseph W Carlson, Alex Harkess, David Emms, David M Goodstein, Jeremy Schmutz

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 265 papers.

0numbers the graph read from it
0cells of the map it votes in
265citing papers in PubMed
71.2field-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

265 citing papers in PubMed, 377 citations in OpenAlex.

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  7. Inversion characterization inbioRxiv : the preprint server for biology · 2026
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205 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

9 authors at 5 institutions in 3 countries.

John T LovellGenome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, United States.ORCID 0000-0002-8938-1166
Avinash SreedasyamGenome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, United States.ORCID 0000-0001-7336-7012
M Eric SchranzBiosystematics Group, Wageningen University and Research, Wageningen, Netherlands.ORCID 0000-0001-6777-6565
Melissa WilsonCenter for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, United States.ORCID 0000-0002-2614-0285
Joseph W CarlsonJoint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, United States.
Alex HarkessGenome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, United States.ORCID 0000-0002-2035-0871
David EmmsOxford University, Oxford, United Kingdom.ORCID 0000-0002-9065-8978
David M GoodsteinJoint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, United States.ORCID 0000-0001-6287-2697
Jeremy SchmutzGenome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, United States.ORCID 0000-0001-8062-9172
Lawrence Berkeley National Laboratory · USHudsonAlpha Institute for Biotechnology · USArizona State University · USUniversity of Oxford · GBWageningen University & Research · NL

Funding

Population dynamics and medical consequences of sex chromosome evolutionR35GM124827 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI WILSON, MELISSA A · 2017 to 2024
$2.7M
NIGMS NIH HHS R35 GM124827
6 · The paper itself

Abstract

The development of multiple chromosome-scale reference genome sequences in many taxonomic groups has yielded a high-resolution view of the patterns and processes of molecular evolution. Nonetheless, leveraging information across multiple genomes remains a significant challenge in nearly all eukaryotic systems. These challenges range from studying the evolution of chromosome structure, to finding candidate genes for quantitative trait loci, to testing hypotheses about speciation and adaptation. Here, we present GENESPACE, which addresses these challenges by integrating conserved gene order and orthology to define the expected physical position of all genes across multiple genomes. We demonstrate this utility by dissecting presence-absence, copy-number, and structural variation at three levels of biological organization: spanning 300 million years of vertebrate sex chromosome evolution, across the diversity of the Poaceae (grass) plant family, and among 26 maize cultivars. The methods to build and visualize syntenic orthology in the GENESPACE R package offer a significant addition to existing gene family and synteny programs, especially in polyploid, outbred, and other complex genomes.

Indexed as

DNA Copy Number VariationsEvolution, MolecularGene DosageGenome, PlantQuantitative Trait LociSyntenychickencomparative genomicscottonevolutionary biologygeneticsgenomicsgrasseshumanmaizeorthologyricesex chromosomessynteny

Identifiers

PMID36083267
PMCPMC9462846
OpenAlexW4295078843

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.