Evidence map›Paper›PMID 38542215›Full record

ArticleInternational journal of molecular sciences2024

Development of Genome-Wide Intron Length Polymorphism (ILP) Markers in Tea Plant (

Yuan Shen, Xiaoying He, Feng Zu, Xiaoxia Huang, Shihua Yin, Lifei Wang, Fang Geng, Xiaomao Cheng

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Increasing jute (Frontiers in plant science · 2025
    Article
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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

8 authors.

Yuan ShenSouthwest Landscape Architecture Engineering Research Center of State Forestry and Grassland Administration, College of Landscape Architecture and Horticulture Sciences, Southwest Forestry University, Kunming 650224, China.ORCID 0009-0005-2256-3466
Xiaoying HeIndustrial Crops Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650225, China.ORCID 0009-0005-0690-6932
Feng ZuIndustrial Crops Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650225, China.ORCID 0009-0001-5959-8735
Xiaoxia HuangSouthwest Landscape Architecture Engineering Research Center of State Forestry and Grassland Administration, College of Landscape Architecture and Horticulture Sciences, Southwest Forestry University, Kunming 650224, China.ORCID 0000-0003-3086-7900
Shihua YinSouthwest Landscape Architecture Engineering Research Center of State Forestry and Grassland Administration, College of Landscape Architecture and Horticulture Sciences, Southwest Forestry University, Kunming 650224, China.ORCID 0000-0001-9155-4751
Lifei WangSouthwest Landscape Architecture Engineering Research Center of State Forestry and Grassland Administration, College of Landscape Architecture and Horticulture Sciences, Southwest Forestry University, Kunming 650224, China.ORCID 0009-0001-3695-7715
Fang GengSouthwest Landscape Architecture Engineering Research Center of State Forestry and Grassland Administration, College of Landscape Architecture and Horticulture Sciences, Southwest Forestry University, Kunming 650224, China.ORCID 0009-0008-2793-4467
Xiaomao ChengSouthwest Landscape Architecture Engineering Research Center of State Forestry and Grassland Administration, College of Landscape Architecture and Horticulture Sciences, Southwest Forestry University, Kunming 650224, China.ORCID 0000-0001-6979-3393

Funding

the Agricultural Joint Special Project - General Project of Yunnan 202101BD070001-041the Outstanding Young Talents Support Program of Yunnan Province YNWR-QNBJ-2019-280 and YNWR-QNBJ-2020-222Yunnan agricultural basic research joint special general project 202101BD070001-095Yunnan Program of Technology Innovation and Talent Cultivation 202305AD160025Yunnan Seed laboratory 202205AR070001
6 · The paper itself

Abstract

The market value of tea is largely dependent on the tea species and cultivar. Therefore, it is important to develop efficient molecular markers covering the entire tea genome that can be used for the identification of tea varieties, marker-assisted breeding, and mapping important quantitative trait loci for beneficial traits. In this study, genome-wide molecular markers based on intron length polymorphism (ILP) were developed for tea trees. A total of 479, 1393, and 1342 tea ILP markers were identified using the PCR method in silico from the 'Shuchazao' scaffold genome, the chromosome-level genome of 'Longjing 43', and the ancient tea DASZ chromosome-level genome, respectively. A total of 230 tea ILP markers were used to amplify six tea tree species. Among these, 213 pairs of primers successfully characterize products in all six species, with 112 primer pairs exhibiting polymorphism. The polymorphism rate of primer pairs increased with the improvement in reference genome assembly quality level. The cross-species transferability analysis of 35 primer pairs of tea ILP markers showed an average amplification rate of 85.17% through 11 species in 6 families, with high transferability in

Indexed as

Camellia sinensisGenetic MarkersGenome, PlantHumansIntronsPlant BreedingTeaGenetic MarkersTeaCamellia tetracoccagenetic diversityintron length polymorphism (ILP)population structuretransferability

Identifiers

PMID38542215
PMCPMC10969888

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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.