Evidence map›Paper›PMID 40265112›Full record

ArticleFrontiers in plant science2025

Long-read sequencing reveals novel structural variation markers for key agronomic and quality traits of food-grade soybean.

Zhibo Wang, Kassaye Belay, Joe Paterson, Patrick Bewick, William Singer, Qijian Song, Bo Zhang, Song Li

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Advances in mutant characterization for detecting causal mutations in crop plants.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
  3. 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.

Zhibo Wang *School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, United States.
Kassaye Belay *School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, United States.
Joe PatersonSchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, United States.
Patrick BewickSchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, United States.
William SingerSchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, United States.
Qijian SongSoybean Genomics and Improvement Laboratory, Beltsville Agricultural Research Center, Beltsville, MD, United States.
Bo ZhangSchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, United States.
Song LiSchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long read sequencing has been widely used to detect structure variations that are not captured by short read sequencing in plant genomic research. In this study, we described an analysis of whole genome re-sequencing of 29 soybean varieties using nanopore long-read sequencing. The compiled germplasm reflects diverse applications of food-grade soybeans, including soy milk and tofu production, as well as consumption of natto, sprout, and edamame (vegetable soybean). We have identified 365,497 structural variations in these newly re-sequenced genomes and found that the newly identified structural variations are associated with important agronomic traits. These traits include seed weight, flowering time, plant height, oleic acid content, methionine content, and Kunitz trypsin inhibitor content, all of which significantly impact soybean production, quality, and market value. Experimental validation supports the roles of predicted candidate genes and structural variants in these biological processes. Our research provides a new source for rapid marker discovery in soybean and other crop genomes using structural variation and whole genome sequencing.

Indexed as

food-grade soybeangene expressionKunitz trypsin inhibitorlong-read sequencing technologyplant heightseed weightstructural variation

Identifiers

PMID40265112
PMCPMC12011826

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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.