Evidence map›Paper›PMID 24247235›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2014

Joint linkage QTL analyses for partial resistance to Phytophthora sojae in soybean using six nested inbred populations with heterogeneous conditions.

Sungwoo Lee, M A Rouf Mian, Clay H Sneller, Hehe Wang, Anne E Dorrance, Leah K McHale

Abstract read
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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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.6field-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

19 citing papers in PubMed, 37 citations in OpenAlex.

  1. Genome-Wide Association Study for Resistance toPlants (Basel, Switzerland) · 2024
    Article
  2. Article
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  4. Editorial: Soybean molecular breeding and genetics.Frontiers in plant science · 2023
    Article
  5. Breeding for disease resistance in soybean: a global perspective.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Review
  6. Article
  7. Article
  8. Review
  9. Molecular mapping of quantitative disease resistance loci for soybean partial resistance to Phytophthora sansomeana.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Fine mapping of a Phytophthora-resistance gene RpsWY in soybean (Glycine max L.) by high-throughput genome-wide sequencing.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017
    Article
  15. Article
  16. Article
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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

6 authors at 2 institutions in 1 country.

Sungwoo LeeDepartment of Horticulture and Crop Science, The Ohio State University, 1680 Madison Avenue, Wooster, OH, 44691, USA, lee.3546@osu.edu.
M A Rouf Mian
Clay H Sneller
Hehe Wang
Anne E Dorrance
Leah K McHale
The Ohio State University · USUniversity of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Partial resistance to Phytophthora sojae in soybean is controlled by multiple quantitative trait loci (QTL). With traditional QTL mapping approaches, power to detect such QTL, frequently of small effect, can be limited by population size. Joint linkage QTL analysis of nested recombinant inbred line (RIL) populations provides improved power to detect QTL through increased population size, recombination, and allelic diversity. However, uniform development and phenotyping of multiple RIL populations can prove difficult. In this study, the effectiveness of joint linkage QTL analysis was evaluated on combinations of two to six nested RIL populations differing in inbreeding generation, phenotypic assay method, and/or marker set used in genotyping. In comparison to linkage analysis in a single population, identification of QTL by joint linkage analysis was only minimally affected by different phenotypic methods used among populations once phenotypic data were standardized. In contrast, genotyping of populations with only partially overlapping sets of markers had a marked negative effect on QTL detection by joint linkage analysis. In total, 16 genetic regions with QTL for partial resistance against P. sojae were identified, including four novel QTL on chromosomes 4, 9, 12, and 16, as well as significant genotype-by-isolate interactions. Resistance alleles from PI 427106 or PI 427105B contributed to a major QTL on chromosome 18, explaining 10-45% of the phenotypic variance. This case study provides guidance on the application of joint linkage QTL analysis of data collected from populations with heterogeneous assay conditions and a genetic framework for partial resistance to P. sojae.

Indexed as

Genetic LinkageQuantitative Trait LociGlycine maxPhytophthora

Identifiers

PMID24247235
OpenAlexW1993946752

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.