Evidence map›Paper›PMID 37883445›Full record

ArticlePloS one2023

Reassessing the genetic variability of Tectona grandis through high-throughput genotyping: Insights on its narrow genetic base.

Isabela Vera Dos Anjos, Thiago Alexandre Santana Gilio, Ana Flávia S Amorim, Jeferson Gonçalves de Jesus, Antonio Marcos Chimello, Fausto H Takizawa, Kelly Lana Araujo, Leonarda Grillo Neves

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 2 institutions in 1 country.

Isabela Vera Dos AnjosUniversidade Federal de Mato Grosso, Cuiabá, Mato Grosso, Brazil.ORCID 0000-0002-3228-8550
Thiago Alexandre Santana GilioUniversidade Federal de Mato Grosso, Institute of Agriculture and Environmental Sciences, Sinop, Mato Grosso, Brazil.ORCID 0000-0003-4078-5407
Ana Flávia S AmorimUniversidade Federal de Mato Grosso, Cuiabá, Mato Grosso, Brazil.
Jeferson Gonçalves de JesusUniversidade Federal de Mato Grosso, Cuiabá, Mato Grosso, Brazil.
Antonio Marcos ChimelloPlant Genetic Improvement Laboratory, Universidade do Estado de Mato Grosso, Cáceres, Mato Grosso, Brazil.
Fausto H TakizawaTeak Resources Company, Cáceres, Mato Grosso, Brazil.ORCID 0000-0002-5878-6363
Kelly Lana AraujoPlant Genetic Improvement Laboratory, Universidade do Estado de Mato Grosso, Cáceres, Mato Grosso, Brazil.
Leonarda Grillo NevesPlant Genetic Improvement Laboratory, Universidade do Estado de Mato Grosso, Cáceres, Mato Grosso, Brazil.
Universidade Federal de Mato Grosso · BRUniversidade do Estado de Mato Grosso · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Teak (Tectona grandis Linn. f.) is considered one of the most expensive hardwoods in the world. The dispersion of the species over the years has taken the teak beyond its first sources of diversity and little is known about the genetic origin and genetic variability. Thus, this study aimed to investigate the genetic diversity and genetic population structure existing in a representative teak germplasm bank collection. DNA was extracted from young leaves and each sample were genotyped by whole genome sequencing at 3 giga bases per sample, the sequences are aligned using the genome, and SNPcalls and quality control were made. To study the population structure of the genotypes, Bayesian variational inference was used via fastStructure, the phylogenetic tree was based on the modified Euclidean distance and the clustering by the UPGMA hierarchical method. Genetic diversity was analyzed based on the pairwise genetic divergence (Fst) of Weir and Cockerham. Genotyping by sequencing resulted in a database of approximately 1.4 million of variations SNPs were used for analysis. It was possible to identify four populations with considerable genetic variability between and within them. While the genetic variability in teak is generally known to be narrow, this study confirmed the presence of genetic variability scale in teak, which is contrary to what was initially expected.

Indexed as

LamiaceaeBayes TheoremGenetics, PopulationGenotypePhylogeny

Identifiers

PMID37883445
PMCPMC10602281
OpenAlexW4387953135

What OpenQuestion holds

Textmetadata
LicenceCC0
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.