Evidence map›Paper›PMID 25228410›Full record

ArticleFunctional & integrative genomics2014

Identification of candidate genes JcARF19 and JcIAA9 associated with seed size traits in Jatropha.

Jian Ye, Peng Liu, Chengsong Zhu, Jing Qu, Xianghua Wang, Yanwei Sun, Fei Sun, Yulin Jiang, Genhua Yue, Chunming Wang

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In one paragraph

Article in Functional & integrative genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.7field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Fruit shape lociFrontiers in plant science · 2022
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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

10 authors at 5 institutions in 3 countries.

Jian YeTemasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, 117604, Singapore, Singapore.
Peng Liu
Chengsong Zhu
Jing Qu
Xianghua Wang
Yanwei Sun
Fei Sun
Yulin Jiang
Genhua Yue
Chunming Wang
National University of Singapore · SGTemasek Life Sciences Laboratory · SGChinese Academy of Sciences · CNEnergy Research Institute · CNUniversity of Iowa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Jatropha curcas is a new promising bioenergy crop due to the high oil content in its seeds that can be converted into biodiesel. Seed size, a major determinant of Jatropha oil yield, is a target trait for Jatropha breeding. Due to the vital roles of phytohormone auxin in controlling seed and fruit development, we screened key genes in auxin pathway including ARF and IAA families and downstream effectors to identify candidate genes controlling seed size in Jatropha. As a result, JcARF19 was mapped in the major quantitative trait locus (QTL) region and significantly associated with seed length. By using expression QTL (eQTL) analysis to link variants with functional candidate genes, we provided evidences that seed traits were affected by the interaction of JcARF19 and JcIAA9. ARF19 and IAA9, involved in auxin signal transduction, were conserved in higher plants. These data including the single-nucleotide polymorphisms (SNPs) in the two genes could lead to utilization of the genes by integrating favored alleles into elite varieties through marker-assisted selection.

Indexed as

Genes, PlantGenetic Association StudiesAmino Acid SequenceChromosome MappingGenetic VariationIndoleacetic AcidsJatrophaLinkage DisequilibriumMolecular Sequence DataOrgan SizePlant ProteinsProtein BindingQuantitative Trait LociSeedsSignal TransductionIndoleacetic AcidsPlant Proteins

Identifiers

PMID25228410
OpenAlexW2037607177

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.