Evidence map›Paper›PMID 38240922›Full record

ArticleGenes & genomics2024

Genome assembly and microsatellite marker development using Illumina and PacBio sequencing in Persicaria maackiana (Polygonaceae) from Korea.

Kang-Rae Kim, So Young Park, Heesoo Kim, Jiyeon Kim, Jeong Min Hong, Sun-Yu Kim, Jeong-Nam Yu

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Article in Genes & genomics, 2024. 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
0.2field-weighted citation impact, top 47% of its field
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

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0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Kang-Rae KimAnimal and Plant Research Department, Nakdonggang National Institute of Biological Resources, Sangju, Republic of Korea.
So Young ParkAnimal and Plant Research Department, Nakdonggang National Institute of Biological Resources, Sangju, Republic of Korea.
Heesoo KimAnimal and Plant Research Department, Nakdonggang National Institute of Biological Resources, Sangju, Republic of Korea.
Jiyeon KimAnimal and Plant Research Department, Nakdonggang National Institute of Biological Resources, Sangju, Republic of Korea.
Jeong Min HongAnimal and Plant Research Department, Nakdonggang National Institute of Biological Resources, Sangju, Republic of Korea.
Sun-Yu KimAnimal and Plant Research Department, Nakdonggang National Institute of Biological Resources, Sangju, Republic of Korea.
Jeong-Nam YuAnimal and Plant Research Department, Nakdonggang National Institute of Biological Resources, Sangju, Republic of Korea. susia000@nnibr.re.kr.
National Institute of Biological Resources · KR

Funding

Ministry of Environment (KR) 2021003420003
6 · The paper itself

Abstract

backgroundPersicaria maackiana (Regel) is a potential medicinal plant that exerts anti-diabetic effects. However, the lack of genomic information on P. maackiana hinders research at the molecular level.

objectiveHerein, we aimed to construct a draft genome assembly and obtain comprehensive genomic information on P. maackiana using high-throughput sequencing tools PacBio Sequel II and Illumina.

methodsPersicaria maackiana samples from three natural populations in Gaecheon, Gichi, and Uiryeong reservoirs in South Korea were used to generate genomic DNA libraries, perform genome de novo assembly, gene ontology analysis, phylogenetic tree analysis, genotyping, and identify microsatellite markers.

resultsThe assembled P. maackiana genome yielded 32,179 contigs. Assessment of assembly integrity revealed 1503 (93.12%) complete Benchmarking Universal Single-Copy Orthologs. A total of 64,712 protein-coding genes were predicted and annotated successfully in the protein database. In the Kyoto Encyclopedia of Genes and Genomes (KEGG) orthologs, 13,778 genes were annotated into 18 categories. Genes that activated AMPK were identified in the KEGG pathway. A total of 316,992 microsatellite loci were identified, and primers targeting the flanking regions were developed for 292,059 microsatellite loci. Of these, 150 primer sets were randomly selected for amplification, and 30 of these primer sets were identified as polymorphic. These primers amplified 3-9 alleles. The mean observed and expected heterozygosity were 0.189 and 0.593, respectively. Polymorphism information content values of the markers were 0.361-0.754.

conclusionCollectively, our study provides a valuable resource for future comparative genomics, phylogeny, and population studies of P. maackiana.

Indexed as

PolygonaceaeGenomicsMicrosatellite RepeatsMolecular Sequence AnnotationPhylogenyGenome assemblyGenomicsMedicinal plantsNext-generation sequencingPhylogenyPolymorphism information content

Identifiers

PMID38240922
OpenAlexW4391032927

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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.