Evidence map›Paper›PMID 25208646›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2014

Combined use of bulked segregant analysis and microarrays reveals SNP markers pinpointing a major QTL for resistance to Phytophthora capsici in pepper.

Wing-Yee Liu, Jin-Ho Kang, Hyeon-Seok Jeong, Hye-Jeong Choi, Hee-Bum Yang, Ki-Taek Kim, Doil Choi, Gyung Ja Choi, Molly Jahn, Byoung-Cheorl Kang

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
5.6field-weighted citation impact, top 5% 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

31 citing papers in PubMed, 66 citations in OpenAlex.

  1. Advances in mutant characterization for detecting causal mutations in crop plants.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Exploring Disease Resistance in Pepper (Plants (Basel, Switzerland) · 2024
    Article
  7. Article
  8. Development and validation of KASP markers for resistance toMolecular breeding : new strategies in plant improvement · 2023
    Article
  9. Article
  10. Article
  11. Genome-Wide Association Study of Resistance toFrontiers in plant science · 2022
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Overview of Biotic Stresses in Pepper (International journal of molecular sciences · 2020
    Review
  17. Fine mapping and identification of the leaf shape gene BoFL in ornamental kale.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Article
  18. Article
  19. Article
  20. 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

10 authors at 4 institutions in 3 countries.

Wing-Yee LiuDepartment of Plant Science, Plant Genomics and Breeding Institute and Research Institute for Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro Gwank-gu, 151-921, Seoul, Republic of Korea.
Jin-Ho Kang
Hyeon-Seok Jeong
Hye-Jeong Choi
Hee-Bum Yang
Ki-Taek Kim
Doil Choi
Gyung Ja Choi
Molly Jahn
Byoung-Cheorl Kang
Seoul National University · KRKorea Research Institute of Chemical Technology · KRNational Institute of Agricultural Science and Technology · KRUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageBulked segregant analysis (BSA) using Affymetrix GeneChips revealed candidate genes underlying the major QTL for Phytophthora capsici resistance in Capsicum. Using the candidate genes, reliable markers for Phytophthora resistance were developed and validated. Phytophthora capsici L. is one of the most destructive pathogens of pepper (Capsicum spp.). Resistance of pepper against P. capsici is controlled by quantitative trait loci (QTL), including a major QTL on chromosome 5 that is the predominant contributor to resistance. Here, to maximize the effect of this QTL and study its underlying genes, an F2 population and recombinant inbred lines were inoculated with P. capsici strain JHAI1-7 zoospores at a low concentration (3 × 10(3)/mL). Resistance phenotype segregation ratios for the populations fit a 3:1 and 1:1 (resistant:susceptible) segregation model, respectively, consistent with a single dominant gene model. Bulked segregant analysis (BSA) using Affymetrix GeneChips revealed a single position polymorphism (SPP) marker mapping to the major QTL. When this SPP marker (Phyto5SAR) together with other SNP markers located on chromosome 5 was used to confirm the position of the major QTL, Phyto5SAR showed the highest LOD value at the QTL. A scaffold sequence (scaffold194) containing Phyto5SAR was identified from the C. annuum genome database. The scaffold contained two putative NBS-LRR genes and one SAR 8.2A gene as candidates for contributing to P. capsici resistance. Markers linked to these genes were developed and validated by testing 100 F1 commercial cultivars. Among the markers, Phyto5NBS1 showed about 90% accuracy in predicting resistance phenotypes to a low-virulence P. capsici isolate. These results suggest that Phyto5NBS1 is a reliable marker for P. capsici resistance and can be used for identification of a gene(s) underlying the major QTL on chromosome 5.

Indexed as

PhytophthoraPolymorphism, Single NucleotideQuantitative Trait LociBase SequenceCapsicumChromosome MappingChromosomes, PlantDisease ResistanceDNA, PlantGenetic LinkageGenetic MarkersModels, GeneticMolecular Sequence DataOligonucleotide Array Sequence AnalysisPhenotypePlant DiseasesDNA, PlantGenetic Markers

Identifiers

PMID25208646
OpenAlexW2090072167

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.