Evidence map›Paper›PMID 33104732›Full record

ArticlePloS one2020

Identification of plastid genomic regions inferring species identity from de novo plastid genome assembly of 14 Korean-native Iris species (Iridaceae).

Yang Jae Kang, Soonok Kim, Jungho Lee, Hyosig Won, Gi-Heum Nam, Myounghai Kwak

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

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  9. The complete chloroplast genome ofMitochondrial DNA. Part B, Resources · 2022
    Article
  10. Article
  11. The chloroplast genome of theMitochondrial DNA. Part B, Resources · 2022
    Article
  12. Taxonomic Composition ofPlants (Basel, Switzerland) · 2021
    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

6 authors at 4 institutions in 1 country.

Yang Jae KangDivision of Bio & Medical Big Data Department (BK4 Program), Gyeongsang National University, Jinju, Republic of Korea.
Soonok KimNational Institute of Biological Resources, Incheon, Republic of Korea.
Jungho LeeGreen Plant Institute, Yongin, Republic of Korea.
Hyosig WonDept. of Biological Science, Daegu University, Gyungsan, Gyungbuk, Republic of Korea.
Gi-Heum NamNational Institute of Biological Resources, Incheon, Republic of Korea.
Myounghai KwakNational Institute of Biological Resources, Incheon, Republic of Korea.ORCID 0000-0002-3022-6823
National Institute of Biological Resources · KRDaegu University · KRGreen Cross (South Korea) · KRGyeongsang National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Iris is one of the largest genera in the family Iridaceae, comprising hundreds of species, including numerous economically important horticultural plants used in landscape gardening and herbal medicine. Improved taxonomic classification of Iris species, particularly the endangered Korean-native Iris, is needed for correct species delineation. To this end, identification of diverse genetic markers from Iris genomes would facilitate molecular identification and resolve ambiguous classifications from molecular analyses; however, only two Iris plastid genomes, from Iris gatesii and Iris sanguinea, have been sequenced. Here, we used high-throughput next-generation sequencing, combined with Sanger sequencing, to construct the plastid genomes of 14 Korean-native Iris species with one outgroup and predict their gene content. Using these data, combined with previously published plastid genomes from Iris and one outgroup (Sisyrinchium angustifolium), we constructed a Bayesian phylogenetic tree showing clear speciation among the samples. We further identified sub-genomic regions that have undergone neutral evolution and accurately recapitulate Bayesian-inferred speciation. These contain key markers that could be used to identify and classify Iris samples into taxonomic clades. Our results confirm previously reported speciation patterns and resolve questionable relationships within the Iris genus. These data also provide a valuable resource for studying genetic diversity and refining phylogenetic relationships between Iris species.

Indexed as

Genome, PlastidIris PlantEndangered SpeciesPhylogenyPlastidsRepublic of KoreaSequence Analysis, DNA

Identifiers

PMID33104732
PMCPMC7588056
OpenAlexW3093578994

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.