Evidence map›Paper›PMID 39573992›Full record

ArticleBMC plant biology2024

Discovery of candidate genes enhancing kernel protein content in tropical maize introgression lines.

Xiaoping Yang, Ranjan K Shaw, Linzhuo Li, Fuyan Jiang, Jiachen Sun, Xingming Fan

Abstract read
In one paragraph

Article in BMC plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Genetic Dissection and Functional Validation ofInternational journal of molecular sciences · 2026
    Article
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4 · The record

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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

6 authors.

Xiaoping YangInstitute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, China.
Ranjan K ShawInstitute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, China.
Linzhuo LiInstitute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, China.
Fuyan JiangInstitute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, China.
Jiachen SunInstitute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, China.
Xingming FanInstitute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming, China. xingmingfan@163.com.

Funding

the High-level Scientific and Technological Talents and Innovation Team Program of Yunnan Province 202405AS350030
6 · The paper itself

Abstract

backgroundIn this study, tropical maize germplasms were used to construct a multiparent population (MPP) to identify novel genes associated with kernel protein content. The kernel protein content was quantified using near-infrared spectroscopy (NIRS) in the MPP, which was evaluated in three different environments.

resultsQTL mapping revealed 23 significant QTLs tightly linked to kernel protein content, with phenotypic variation ranging from 8.88 to 28.86%. Genome-wide association analysis (GWAS) identified 21 SNPs that were significantly associated with kernel protein content, with phenotypic variation explained (PVE) ranging from 4.09 to 16.15%. Through combined QTL mapping and GWAS, co-localized loci were identified, as well as two novel genes (Zm00001d034933 and Zm00001d029999) that had not been previously reported.

conclusionsThese genes encode pentatricopeptide repeat-containing proteins (PPR proteins), which regulate kernel endosperm development. The significant SNPs associated with these genes accounted for 23.59% of the PVE, whereas the QTLs accounted for 46.02% of the phenotypic variation. Since kernel protein synthesis and storage occur in the endosperm, this study suggests that Zm00001d034933 and Zm00001d029999 may potentially regulate kernel protein content in maize.

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideQuantitative Trait LociZea maysChromosome MappingGenes, PlantGenetic IntrogressionPhenotypePlant ProteinsSeedsPlant ProteinsCandidate geneGenome-wide association analysisKernel protein contentMaizeQTL mapping

Identifiers

PMID39573992
PMCPMC11583388

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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.