Evidence map›Paper›PMID 28068426›Full record

ArticlePloS one2017

Screening of Candidate Leaf Morphology Genes by Integration of QTL Mapping and RNA Sequencing Technologies in Oilseed Rape (Brassica napus L.).

Hongju Jian, Bo Yang, Aoxiang Zhang, Li Zhang, Xinfu Xu, Jiana Li, Liezhao Liu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. 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
2.0field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Mining of Candidate Genes Associated with Leaf Shape Traits in Grapes.International journal of molecular sciences · 2024
    Article
  2. Article
  3. Article
  4. Review
  5. Genome-wide association study identifies various loci underlying agronomic and morphological traits in diversified potato panel.Physiology and molecular biology of plants : an international journal of functional plant biology · 2020
    Article
  6. Article
  7. 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

7 authors at 1 institution in 1 country.

Hongju JianChongqing Engineering Research Center for Rapeseed, College of Agronomy and Biotechnology, Southwest University, Beibei, Chongqing, P. R. China.
Bo YangChongqing Engineering Research Center for Rapeseed, College of Agronomy and Biotechnology, Southwest University, Beibei, Chongqing, P. R. China.
Aoxiang ZhangChongqing Engineering Research Center for Rapeseed, College of Agronomy and Biotechnology, Southwest University, Beibei, Chongqing, P. R. China.
Li ZhangChongqing Engineering Research Center for Rapeseed, College of Agronomy and Biotechnology, Southwest University, Beibei, Chongqing, P. R. China.
Xinfu XuChongqing Engineering Research Center for Rapeseed, College of Agronomy and Biotechnology, Southwest University, Beibei, Chongqing, P. R. China.
Jiana LiChongqing Engineering Research Center for Rapeseed, College of Agronomy and Biotechnology, Southwest University, Beibei, Chongqing, P. R. China.
Liezhao LiuChongqing Engineering Research Center for Rapeseed, College of Agronomy and Biotechnology, Southwest University, Beibei, Chongqing, P. R. China.
Southwest University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leaf size and shape play important roles in agronomic traits, such as yield, quality and stress responses. Wide variations in leaf morphological traits exist in cultivated varieties of many plant species. By now, the genetics of leaf shape and size have not been characterized in Brassica napus. In this study, a population of 172 recombinant inbred lines (RILs) was used for quantitative trait locus (QTL) analysis of leaf morphology traits. Furthermore, fresh young leaves of extreme lines with more leaf lobes (referred to as 'A') and extreme lines with fewer lobes (referred to as 'B') selected from the RIL population and leaves of dissected lines (referred to as 'P') were used for transcriptional analysis. A total of 31 QTLs for the leaf morphological traits tested in this study were identified on 12 chromosomes, explaining 5.32-39.34% of the phenotypic variation. There were 8, 6, 2, 5, 8, and 2 QTLs for PL (petiole length), PN (lobe number), LW (lamina width), LL (Lamina length), LL/LTL (the lamina size ratio) and LTL (leaf total length), respectively. In addition, 74, 1,166 and 1,272 differentially expressed genes (DEGs) were identified in 'A vs B', 'A vs P' and 'B vs P' comparisons, respectively. The Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases were used to predict the functions of these DEGs. Gene regulators of leaf shape and size, such as ASYMMETRIC LEAVES 2, gibberellin 20-oxidase 3, genes encoding gibberellin-regulated family protein, genes encoding growth-regulating factor and KNOTTED1-like homeobox were also detected in DEGs. After integrating the QTL mapping and RNA sequencing data, 33 genes, including a gene encoding auxin-responsive GH3 family protein and a gene encoding sphere organelles protein-related gene, were selected as candidates that may control leaf shape. Our findings should be valuable for studies of the genetic control of leaf morphological trait regulation in B. napus.

Indexed as

Chromosome MappingQuantitative Trait LociArabidopsisBrassica napusComputational BiologyGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantHigh-Throughput Nucleotide SequencingMolecular Sequence AnnotationPlant DevelopmentPlant LeavesQuantitative Trait, HeritableSequence Analysis, RNA

Identifiers

PMID28068426
PMCPMC5222374
OpenAlexW2569774037

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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.