Evidence map›Paper›PMID 25816915›Full record

ArticleThe New phytologist2015

Plastic expression of heterochrony quantitative trait loci (hQTLs) for leaf growth in the common bean (Phaseolus vulgaris).

Libo Jiang, Jose A Clavijo, Lidan Sun, Xuli Zhu, Mehul S Bhakta, Salvador A Gezan, Melissa Carvalho, C Eduardo Vallejos, Rongling Wu

Abstract read
In one paragraph

Article in The New phytologist, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Functional Mapping of Phenotypic Plasticity ofFrontiers in microbiology · 2021
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Mapping and Predicting Non-LinearG3 (Bethesda, Md.) · 2018
    Article
  7. Bayesian estimation and use of high-throughput remote sensing indices for quantitative genetic analyses of leaf growth.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018
    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

9 authors.

Libo JiangCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.
Jose A ClavijoDepartment of Horticultural Sciences, University of Florida, Gainesville, FL, 32611, USA.
Lidan SunBeijing Key Laboratory of Ornamental Plants Germplasm Innovation & Molecular Breeding, National Engineering Research Center for Floriculture, Beijing Laboratory of Urban and Rural Ecological Environment and College of Landscape Architecture, Beijing Forestry University, Beijing, 100083, China.
Xuli ZhuCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.
Mehul S BhaktaDepartment of Horticultural Sciences, University of Florida, Gainesville, FL, 32611, USA.
Salvador A GezanSchool of Forest Resources and Conservation, University of Florida, Gainesville, FL, 32611, USA.
Melissa CarvalhoSchool of Forest Resources and Conservation, University of Florida, Gainesville, FL, 32611, USA.
C Eduardo VallejosDepartment of Horticultural Sciences, University of Florida, Gainesville, FL, 32611, USA.
Rongling WuCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heterochrony, that is, evolutionary changes in the relative timing of developmental events and processes, has emerged as a key concept that links evolution and development. Genes associated with heterochrony encode molecular components of developmental timing mechanisms. However, our understanding of how heterochrony genes alter the expression of heterochrony in response to environmental changes remains very limited. We applied functional mapping to find quantitative trait loci (QTLs) responsible for growth trajectories of leaf area and leaf mass in the common bean (Phaseolus vulgaris) grown in two contrasting environments. We identified three major QTLs pleiotropically expressed under the two environments. Further characterization of the temporal pattern of these QTLs indicates that they are heterochrony QTLs (hQTLs) in terms of their role in influencing four heterochronic parameters: the timing of the inflection point, the timing of maximum acceleration and deceleration, and the duration of linear growth. The pattern of gene action by the hQTLs on each parameter was unique, being environmentally dependent and varying between two allometrically related leaf growth traits. These results provide new insights into the complexity of genetic mechanisms that control trait formation in plants and provide novel findings that will be of use in studying the evolutionary trends.

Indexed as

Gene Expression Regulation, PlantAllelesColombiaEnvironmentGenetic VariationGenotypeGeographyLikelihood FunctionsPhaseolusPlant LeavesQuantitative Trait LociSoilTime FactorsSoilcommon bean (Phaseolus vulgaris)functional mappingheterochronyheterochrony quantitative trait loci (hQTLs)quantitative trait loci (QTLs)

Identifiers

PMID25816915
PMCPMC6681149

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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.