Evidence map›Paper›PMID 30548709›Full record

ArticleThe Plant journal : for cell and molecular biology2019

Kernel size-related genes revealed by an integrated eQTL analysis during early maize kernel development.

Junling Pang, Junjie Fu, Na Zong, Jing Wang, Dandan Song, Xia Zhang, Cheng He, Ting Fang, Hongwei Zhang, Yunliu Fan and 2 more

Open access · hybridAbstract read
In one paragraph

Article in The Plant journal : for cell and molecular biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

29 citing papers in PubMed, 49 citations in OpenAlex.

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  11. Plants (Basel, Switzerland) · 2024
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  12. Article
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  14. Article
  15. Combined population transcriptomic and genomic analysis reveals cis-regulatory differentiation of non-coding RNAs in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Genetic Variation inInternational journal of molecular sciences · 2022
    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

12 authors at 1 institution in 1 country.

Junling PangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.ORCID 0000-0002-5866-311X
Junjie FuInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Na ZongBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Jing WangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Dandan SongBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Xia ZhangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.ORCID 0000-0002-2566-0430
Cheng HeInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Ting FangInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Hongwei ZhangInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Yunliu FanBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Guoying WangInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Jun ZhaoBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.ORCID 0000-0002-0200-9565
Chinese Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In maize, kernel traits strongly impact overall grain yields, and it is known that sophisticated spatiotemporal programs of gene expression coordinate kernel development, so advancing our knowledge of kernel development can help efforts to improve grain yields. Here, using phenotype, genotype and transcriptomics data of maize kernels at 5 and 15 days after pollination (DAP) for a large association mapping panel, we employed multiple quantitative genetics approaches-genome-wide association studies (GWAS) as well as expression quantitative trait loci (eQTL) and quantitative trait transcript (QTT) analyses-to gain insights about molecular genetic basis of kernel development in maize. This resulted in the identification of 137 putative kernel length-related genes at 5 DAP, of which 43 are located in previously reported QTL regions. Strikingly, we identified an eQTL that overlaps the locus encoding a maize homolog of the recently described m

Indexed as

Genome-Wide Association StudyEdible GrainEndospermGene OntologyGenotypeLinear ModelsPhenotypePhylogenyPolymorphism, Single NucleotideQuantitative Trait LociZea mayscomplex traitexpression quantitative trait locikernel developmentm6A RNA modificationZea mays L

Identifiers

PMID30548709
PMCPMC6850110
OpenAlexW2903834130

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.