Evidence map›Paper›PMID 38053759›Full record

ArticleFrontiers in plant science2023

Cataloging SCN resistance loci in North American public soybean breeding programs.

Anser Mahmood, Kristin D Bilyeu, Mária Škrabišová, Jana Biová, Elizabeth J De Meyer, Clinton G Meinhardt, Mariola Usovsky, Qijian Song, Aaron J Lorenz, Melissa G Mitchum and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 7 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

12 authors at 5 institutions in 2 countries.

Anser MahmoodDivision of Plant Science and Technology, University of Missouri, Columbia, MO, United States.
Kristin D BilyeuPlant Genetics Research Unit, United States Department of Agriculture-Agricultural Research Service, University of Missouri, Columbia, MO, United States.
Mária ŠkrabišováDepartment of Biochemistry, Faculty of Science, Palacky University Olomouc, Olomouc, Czechia.
Jana BiováDepartment of Biochemistry, Faculty of Science, Palacky University Olomouc, Olomouc, Czechia.
Elizabeth J De MeyerDivision of Plant Science and Technology, University of Missouri, Columbia, MO, United States.
Clinton G MeinhardtDivision of Plant Science and Technology, University of Missouri, Columbia, MO, United States.
Mariola UsovskyDivision of Plant Science and Technology, University of Missouri, Columbia, MO, United States.
Qijian SongSoybean Genomics and Improvement Laboratory, Beltsville Agricultural Research Center, United States Department of Agriculture-Agricultural Research Service (USDA-ARS), Beltsville, MD, United States.
Aaron J LorenzDepartment of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, United States.
Melissa G MitchumDepartment of Plant Pathology and Institute of Plant Breeding, Genetics, and Genomics, University of Georgia, Athens, GA, United States.
Grover ShannonDivision of Plant Science and Technology, University of Missouri, Columbia, MO, United States.
Andrew M ScabooDivision of Plant Science and Technology, University of Missouri, Columbia, MO, United States.
University of Missouri · USAgricultural Research Service · USPalacký University Olomouc · CZUniversity of Georgia · USUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean cyst nematode (SCN) is a destructive pathogen of soybeans responsible for annual yield loss exceeding $1.5 billion in the United States. Here, we conducted a series of genome-wide association studies (GWASs) to understand the genetic landscape of SCN resistance in the University of Missouri soybean breeding programs (Missouri panel), as well as germplasm and cultivars within the United States Department of Agriculture (USDA) Uniform Soybean Tests-Northern Region (NUST). For the Missouri panel, we evaluated the resistance of breeding lines to SCN populations HG 2.5.7 (Race 1), HG 1.2.5.7 (Race 2), HG 0 (Race 3), HG 2.5.7 (Race 5), and HG 1.3.6.7 (Race 14) and identified seven quantitative trait nucleotides (QTNs) associated with SCN resistance on chromosomes 2, 8, 11, 14, 17, and 18. Additionally, we evaluated breeding lines in the NUST panel for resistance to SCN populations HG 2.5.7 (Race 1) and HG 0 (Race 3), and we found three SCN resistance-associated QTNs on chromosomes 7 and 18. Through these analyses, we were able to decipher the impact of seven major genetic loci, including three novel loci, on resistance to several SCN populations and identified candidate genes within each locus. Further, we identified favorable allelic combinations for resistance to individual SCN HG types and provided a list of available germplasm for integration of these unique alleles into soybean breeding programs. Overall, this study offers valuable insight into the landscape of SCN resistance loci in U.S. public soybean breeding programs and provides a framework to develop new and improved soybean cultivars with diverse plant genetic modes of SCN resistance.

Indexed as

genome wide association study (GWAS)resistance to Heterodera glycines 1 (Rhg1)SCN (Heterodera glycines Ichinohe)soybean (Glycine max (L.) Merr.)α-soluble N-ethylmaleimide sensitive factor attachment protein (α-SNAP)

Identifiers

PMID38053759
PMCPMC10694258
OpenAlexW4388831990

What OpenQuestion holds

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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.