Evidence map›Paper›PMID 42871387›Full record

ArticleFrontiers in plant science2026

BSA-seq-based identification of candidates associated with stable resistance to

Ji-Su Kwon, Chamini Wijethunga, Junesung Lee, Yujin Sim, Myung-Shin Kim, Seon-In Yeom, Won-Hee Kang

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ji-Su Kwon *Department of Horticulture, Division of Applied Life Science (BK21 Four), Institute of Agriculture & Life Science, Gyeongsang National University, Jinju, Republic of Korea.
Chamini Wijethunga *Department of Horticulture, Division of Applied Life Science (BK21 Four), Institute of Agriculture & Life Science, Gyeongsang National University, Jinju, Republic of Korea.
Junesung LeeDepartment of Horticulture, Division of Applied Life Science (BK21 Four), Institute of Agriculture & Life Science, Gyeongsang National University, Jinju, Republic of Korea.
Yujin SimDepartment of Horticulture, Division of Applied Life Science (BK21 Four), Institute of Agriculture & Life Science, Gyeongsang National University, Jinju, Republic of Korea.
Myung-Shin KimDepartment of Biosciences and Bioinformatics, Myongji University, Yongin, Republic of Korea.
Seon-In YeomDepartment of Horticulture, Division of Applied Life Science (BK21 Four), Institute of Agriculture & Life Science, Gyeongsang National University, Jinju, Republic of Korea.
Won-Hee KangDepartment of Horticulture, Division of Applied Life Science (BK21 Four), Institute of Agriculture & Life Science, Gyeongsang National University, Jinju, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial wilt is a major constraint on pepper production, and the development of resistant cultivars is the most effective and sustainable strategy for disease management. However, pepper germplasm with stable resistance and its genetic basis remain insufficiently characterized. In this study, 63 pepper accessions were screened for bacterial wilt resistance using a leaf-to-whole plant bioassay. Based on disease severity index values, seven accessions were classified as extremely resistant (ER), 25 as resistant, 22 as moderately susceptible, and nine as susceptible. Selected accessions were further evaluated against five

Indexed as

bacterial wiltbulk segregant analysis (BSA)Capsicum annuumquantitative trait lociRalstonia pseudosolanacearum

Identifiers

PMID42871387
PMCPMC13658450

What OpenQuestion holds

Textmetadata
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.