Evidence map›Paper›PMID 34846646›Full record

ArticleMolecular biology reports2022

Development and characterization of novel microsatellite markers in Tilia amurensis Rupr. using next-generation sequencing.

Se-Won Chun, Jei-Wan Lee, Ji-Young Ahn

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 19% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Genetic Diversity and Conservation ofPlants (Basel, Switzerland) · 2025
    Article
  3. Article
  4. Article
  5. Article
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 at 1 institution in 2 countries.

Se-Won ChunDivision of Forest Bio Resources, National Institute of Forest Science, Suwon, Republic of Korea.ORCID http://orcid.org/0000-0001-8016-9321
Jei-Wan LeeDivision of Forest Bio Resources, National Institute of Forest Science, Suwon, Republic of Korea.ORCID http://orcid.org/0000-0003-4183-1487
Ji-Young AhnDivision of Forest Bio Resources, National Institute of Forest Science, Suwon, Republic of Korea. gee330@korea.kr.ORCID http://orcid.org/0000-0002-8598-2474
Korea Forest Service · KR

Funding

National Institute of Forest Science FG0601-2019-01
6 · The paper itself

Abstract

backgroundTilia amurensis (Malvaceae) is a deciduous broad-leaved tree distributed in Korea, China, and Japan. T. amurensis is used as a honey tree and also as a material for furniture, carving, and pulp. This study aimed to develop and characterize novel microsatellite markers using next-generation sequencing (NGS) of T. amurensis. METHODS AND

resultsNGS analysis using GS-FLX Titanium obtained 629,273 reads, of which 15,795 contigs were assembled with an average length of 830 bp. A total of 4774 microsatellite regions were detected in 3602 of 15,795 contigs. In total, 360 primer sets were designed based on the microsatellite regions. Among them, 15 primer sets were selected as reproducible polymorphic markers and were characterized for three populations of T. amurensis in Korea. The average number of alleles (N

conclusionsThe novel microsatellite markers will be useful for further studies on genetic diversity evaluation to conserve the genetic resources and natural populations of T. amurensis.

Indexed as

AllelesChinaGenetic MarkersHeterozygoteHigh-Throughput Nucleotide SequencingJapanMicrosatellite RepeatsPolymorphism, GeneticRepublic of KoreaTiliaTreesGenetic MarkersGenetic diversityMicrosatellite markerNext-generation sequencingTilia amurensis

Identifiers

PMID34846646
OpenAlexW3215076170

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.