Evidence map›Paper›PMID 39596171›Full record

ArticleInternational journal of molecular sciences2024

Mining of Candidate Genes Associated with Leaf Shape Traits in Grapes.

Chuan Zhang, Vivek Yadav, Liwen Cui

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

3 authors.

Chuan ZhangThe State Key Laboratory of Genetic Improvement and Germplasm Innovation of Crop Resistance in Arid Desert Regions, Key Laboratory of Genome Research and Genetic Improvement of Xinjiang Characteristic Fruits and Vegetables, Institute of Horticultural Crops, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China.
Vivek YadavThe State Key Laboratory of Genetic Improvement and Germplasm Innovation of Crop Resistance in Arid Desert Regions, Key Laboratory of Genome Research and Genetic Improvement of Xinjiang Characteristic Fruits and Vegetables, Institute of Horticultural Crops, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China.ORCID 0000-0001-8259-6706
Liwen CuiThe State Key Laboratory of Genetic Improvement and Germplasm Innovation of Crop Resistance in Arid Desert Regions, Key Laboratory of Genome Research and Genetic Improvement of Xinjiang Characteristic Fruits and Vegetables, Institute of Horticultural Crops, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China.

Funding

Basic Research Business Fees for Public Welfare in the Xinjiang Autonomous Region KY2023028Natural Science Foundation of Xinjiang Uygur Autonomous Region (2023D01B40) 2023D01B40Xinjiang Academy of Agricultural Sciences Youth Science and Technology Backbone Innovation Ability Training Project xjnkq-2023006Xinjiang native grape varieties and genetic analysis of important agronomic traits 2060208269 and 2060208270Xinjiang Uygur Autonomous Region Tianchi Talent-Young Doctor Z C
6 · The paper itself

Abstract

As the most important organ for photosynthesis, leaves provide the main energy source for plant growth. Leaf traits affect light energy utilization and, thus, plant development and biomass. Given the high morphological variability of leaves between and within grape genotypes, phenotypic analysis is challenging. This study first evaluated leaf shape trait parameters using a specific leaf profile and area analyzer, along with genome-wide association study (GWAS) analyses, to identify additional candidate genes related to grape leaf shape traits. In the two-year analysis, 89 single-nucleotide polymorphisms (SNPs) were found to be significantly associated with leaf shape traits. These SNP loci were distributed on 18 chromosomes, of which chromosome 15 had the most relevant SNPs. We found that leaf shape-associated genes included mainly plant hormone-, ubiquitin ligase-, serine/threonine protein kinase-, transcription factor-, and cell wall metabolism-related genes. By analyzing the expression of these candidate genes on the chip, we found that they exhibited diverse expression levels in leaves at different developmental stages (young, mature, and senescent). This suggests that these genes could be considered candidates for grape leaf improvement.

Indexed as

Genome-Wide Association StudyPlant LeavesPolymorphism, Single NucleotideVitisChromosomes, PlantGene Expression Regulation, PlantGenes, PlantGenotypePhenotypeQuantitative Trait Locicandidate genegenome-wide association studygrapeleaf shapeTomato Analyzer

Identifiers

PMID39596171
PMCPMC11593594

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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.