Evidence map›Paper›PMID 19626310›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2009

Genetic control of soybean seed isoflavone content: importance of statistical model and epistasis in complex traits.

Juan Jose Gutierrez-Gonzalez, Xiaolei Wu, Juan Zhang, Jeong-Dong Lee, Mark Ellersieck, J Grover Shannon, Oliver Yu, Henry T Nguyen, David A Sleper

Open access · hybridAbstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
5.9field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 95 citations in OpenAlex.

  1. Review
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  10. Acid phosphatase gene GmHAD1 linked to low phosphorus tolerance in soybean, through fine mapping.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018
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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

9 authors at 2 institutions in 1 country.

Juan Jose Gutierrez-GonzalezDivision of Plant Sciences, National Center for Soybean Biotechnology, University of Missouri, Life Sciences Building, Columbia, MO 65201, USA. juangutierrez@mizzou.edu
Xiaolei Wu
Juan Zhang
Jeong-Dong Lee
Mark Ellersieck
J Grover Shannon
Oliver Yu
Henry T Nguyen
David A Sleper
University of Missouri · USDonald Danforth Plant Science Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major objective for geneticists is to decipher genetic architecture of traits associated with agronomic importance. However, a majority of such traits are complex, and their genetic dissection has been traditionally hampered not only by the number of minor-effect quantitative trait loci (QTL) but also by genome-wide interacting loci with little or no individual effect. Soybean (Glycine max [L.] Merr.) seed isoflavonoids display a broad range of variation, even in genetically stabilized lines that grow in a fixed environment, because their synthesis and accumulation are affected by many biotic and abiotic factors. Due to this complexity, isoflavone QTL mapping has often produced conflicting results especially with variable growing conditions. Herein, we comparatively mapped soybean seed isoflavones genistein, daidzein, and glycitein by using several of the most commonly used mapping approaches: interval mapping, composite interval mapping, multiple interval mapping and a mixed-model based composite interval mapping. In total, 26 QTLs, including many novel regions, were found bearing additive main effects in a population of RILs derived from the cross between Essex and PI 437654. Our comparative approach demonstrates that statistical mapping methodologies are crucial for QTL discovery in complex traits. Despite a previous understanding of the influence of additive QTL on isoflavone production, the role of epistasis is not well established. Results indicate that epistasis, although largely dependent on the environment, is a very important genetic component underlying seed isoflavone content, and suggest epistasis as a key factor causing the observed phenotypic variability of these traits in diverse environments.

Indexed as

Epistasis, GeneticModels, StatisticalQuantitative Trait LociChromosome MappingChromosomes, PlantCrops, AgriculturalCrosses, GeneticGlycine maxIsoflavonesSeedsIsoflavones

Identifiers

PMID19626310
PMCPMC2755750
OpenAlexW2158708567

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.