In one paragraphArticle in GigaScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
9 authors.
Feiquan WangCollege of Tea and Food Sciences, Collaborative Innovation Center of Chinese Oolong Tea Industry, Wuyi University, Tea Engineering Research Center of Fujian Higher Education, Wuyishan Fujian 354300, China.ORCID 0009-0003-1337-4052 Noor-Ul ÁinState Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.ORCID 0009-0008-6240-3274 Fang WangState Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.ORCID 0009-0007-9005-2072 Shengcheng ZhangState Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.ORCID 0000-0002-3949-4269 Weilong KongState Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.ORCID 0000-0002-6066-0508 Yutao ShiCollege of Tea and Food Sciences, Collaborative Innovation Center of Chinese Oolong Tea Industry, Wuyi University, Tea Engineering Research Center of Fujian Higher Education, Wuyishan Fujian 354300, China.ORCID 0000-0003-2560-7143 Hua FengCollege of Tea and Food Sciences, Collaborative Innovation Center of Chinese Oolong Tea Industry, Wuyi University, Tea Engineering Research Center of Fujian Higher Education, Wuyishan Fujian 354300, China.ORCID 0009-0000-4854-3512 Bo ZhangCollege of Tea and Food Sciences, Collaborative Innovation Center of Chinese Oolong Tea Industry, Wuyi University, Tea Engineering Research Center of Fujian Higher Education, Wuyishan Fujian 354300, China.ORCID 0009-0003-7777-5373 Xingtan ZhangState Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.ORCID 0000-0002-5207-0882 Funding
National Natural Science Foundation of China 32222019Science and Technology Plan of Fujian Province 2023N5013Science and Technology Plan of Fujian Province 2024N3013Shenzhen Science and Technology Program RCYX20210706092103024Wuyi University 2018N2004Wuyi University 2021L3058
6 · The paper itselfAbstract
Tea (Camellia sinensis L.), a major global economic crop in Asia, poses challenges for genetic identification because its highly heterozygous, repetitive genome reduces the efficacy of conventional single-nucleotide polymorphism (SNP) and microsatellite markers, and interspecific hybridization further complicates the situation. To address these issues, CamK-DB was developed as a reference-free Camellia fingerprinting database built on MIKE MinHash sketches. We curated 418 candidate resequencing datasets, and built a database using standardized 5× genome-coverage fingerprints. Each accession is stored as a MIKE. jac fingerprint generated with k = 21 and recommended sketch/pre_cnt = 2000. CamK-DB provides a command-line interface for data management and a custom C++ query engine that computes top-10 matches using Jaccard similarity, complemented by a QT-based graphical interface for interactive analysis. This resource offers a robust and scalable framework for precise and routine germplasm identification, genomic phylogenetic inference, and strategic breeding program design. CamK-DB (database and code) is publicly available at https://github.com/sc-zhang/CamK-DB. CamK-DB binaries are provided for Windows 10/11 and Linux (x86_64, glibc ≥ 2.27).
Indexed as
CamelliaDatabases, GeneticGenome, PlantGenomicsGenotypeGenotyping TechniquesMicrosatellite RepeatsPhylogenyPolymorphism, Single NucleotideSoftwarealignment-free genomicsCamellia sinensisgermplasm identificationJaccard similarityk-merMinHashSQLite database
Identifiers
PMID42627355
PMCPMC13548848
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