Evidence map›Paper›PMID 36550124›Full record

ArticleNature communications2022

Graph-based pangenomics maximizes genotyping density and reveals structural impacts on fungal resistance in melon.

Justin N Vaughn, Sandra E Branham, Brian Abernathy, Amanda M Hulse-Kemp, Adam R Rivers, Amnon Levi, William P Wechter

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

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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

7 authors at 4 institutions in 2 countries.

Justin N VaughnGenomics and Bioinformatics Research Unit, The Agricultural Research Service of U.S. Department of Agriculture, Athens, GA, 37605, USA. justin.vaughn@usda.gov.ORCID 0000-0002-5261-5096
Sandra E BranhamPlant and Environmental Sciences Department, Coastal Research and Education Center, Clemson University, Charleston, SC, 29414, USA.
Brian AbernathyDepartment of Crop and Soil Sciences, University of Georgia, Athens, GA, 30602, USA.
Amanda M Hulse-KempGenomics and Bioinformatics Research Unit, The Agricultural Research Service of U.S. Department of Agriculture, Raleigh, NC, 27965, USA.
Adam R RiversGenomics and Bioinformatics Research Unit, The Agricultural Research Service of U.S. Department of Agriculture, Gainesville, FL, 32608, USA.ORCID 0000-0002-3703-834X
Amnon LeviUS Vegetable Laboratory, The Agricultural Research Service of U.S. Department of Agriculture, Charleston, SC, 29414, USA.
William P WechterPlant and Environmental Sciences Department, Coastal Research and Education Center, Clemson University, Charleston, SC, 29414, USA. pat.wechter@usda.gov.
Agricultural Research Service · USCarnegie Department of Plant Biology · USClemson University · USUniversity of Georgia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genomic sequences segregating in experimental populations are often highly divergent from the community reference and from one another. Such divergence is problematic under various short-read-based genotyping strategies. In addition, large structural differences are often invisible despite being strong candidates for causal variation. These issues are exacerbated in specialty crop breeding programs with fewer, lower-quality sequence resources. Here, we examine the benefits of complete genomic information, based on long-read assemblies, in a biparental mapping experiment segregating at numerous disease resistance loci in the non-model crop, melon (Cucumis melo). We find that a graph-based approach, which uses both parental genomes, results in 19% more variants callable across the population and raw allele calls with a 2 to 3-fold error-rate reduction, even relative to single reference approaches using a parent genome. We show that structural variation has played a substantial role in shaping two Fusarium wilt resistance loci with known causal genes. We also report on the genetics of powdery mildew resistance, where copy number variation and local recombination suppression are directly interpretable via parental genome alignments. Benefits observed, even in this low-resolution biparental experiment, will inevitably be amplified in more complex populations.

Indexed as

Cucumis meloCucurbitaceaeDNA Copy Number VariationsGenotypePlant BreedingQuantitative Trait Loci

Identifiers

PMID36550124
PMCPMC9780226
OpenAlexW4312192998

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.