ArticleFrontiers in plant science2021
QTL Mapping for Leaf Area of Tea Plants (
Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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.
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.
Who cites it
17 citing papers in PubMed.
- Coleaf, an image recognition-driven approach facilitates the genome-wide association study with tea leaf morphology.Plant methods · 2026Article
- Quantifying the effects of cultivation mode and sprouting stage on tea bud morphology and chemical quality.Frontiers in plant science · 2026Article
- Integration of digital phenotyping, GWAS, and transcriptomic analysis revealed a key gene for bud size in tea plant (Horticulture research · 2025Article
- Variation analysis and quantitative trait loci mapping of 16 free amino acid traits in the tea plant (Camellia sinensis).BMC plant biology · 2025Article
- Identification of key genes associated with anthracnose resistance in Camellia sinensis.PloS one · 2025Article
- Analysis of the mitochondrial genome of theFrontiers in plant science · 2025Article
- Efficient vegetation indices for phenotyping of abiotic stress tolerance in tea plant (Heliyon · 2024Article
- High-density genetic map construction and QTL mapping of a zigzag-shaped stem trait in tea plant (Camellia sinensis).BMC plant biology · 2024Article
- CsEXL3 regulate mechanical harvest-related droopy leaves under the transcriptional activation of CsBES1.2 in tea plant.Horticulture research · 2024Article
- Identification of a major QTL underlying sugar content in peanut kernels based on the RIL mapping population.Frontiers in plant science · 2024Article
- Construction of a High-DensityInternational journal of molecular sciences · 2023Article
- Application of Multi-Perspectives in Tea Breeding and the Main Directions.International journal of molecular sciences · 2023Review
- Nitrogen transport and assimilation in tea plant (Frontiers in plant science · 2023Review
- TeaPVs: a comprehensive genomic variation database for tea plant (Camellia sinensis).BMC plant biology · 2022Article
- Identification of gene family members and a key structural variation reveal important roles of OVATE genes in regulating tea (Frontiers in plant science · 2022Article
- TeaGVD: A comprehensive database of genomic variations for uncovering the genetic architecture of metabolic traits in tea plants.Frontiers in plant science · 2022Article
- Construction of ultra-high-density genetic linkage map of a sorghum-sudangrass hybrid using whole genome resequencing.PloS one · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-quality genetic maps play important roles in QTL mapping and molecular marker-assisted breeding. Tea leaves are not only important vegetative organs but are also the organ for harvest with important economic value. However, the key genes and genetic mechanism of regulating leaf area have not been clarified. In this study, we performed whole-genome resequencing on "Jinxuan," "Yuncha 1" and their 96 F1 hybrid offspring. From the 1.84 Tb of original sequencing data, abundant genetic variation loci were identified, including 28,144,625 SNPs and 2,780,380 indels. By integrating the markers of a previously reported genetic map, a high-density genetic map consisting of 15 linkage groups including 8,956 high-quality SNPs was constructed. The total length of the genetic map is 1,490.81 cM, which shows good collinearity with the genome. A total of 25 representative markers (potential QTLs) related to leaf area were identified, and there were genes differentially expressed in large and small leaf samples near these markers. GWAS analysis further verified the reliability of QTL mapping. Thirty-one pairs of newly developed indel markers located near these potential QTLs showed high polymorphism and had good discrimination between large and small leaf tea plant samples. Our research will provide necessary support and new insights for tea plant genetic breeding, quantitative trait mapping and yield improvement.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.