Evidence map›Paper›PMID 39101619›Full record

ArticleGenome biology and evolution2024

Chromosome-Scale Assembly and Annotation of Eight Arabidopsis thaliana Ecotypes.

Zachary Kileeg, Pauline Wang, G Adam Mott

Abstract read
In one paragraph

Article in Genome biology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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  3. 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.

Zachary KileegDepartment of Biological Sciences, University of Toronto-Scarborough, Toronto, Canada.ORCID 0009-0003-2063-5599
Pauline WangDepartment of Cell and Systems Biology, University of Toronto, Toronto, Canada.ORCID 0000-0001-8265-3854
G Adam MottDepartment of Biological Sciences, University of Toronto-Scarborough, Toronto, Canada.ORCID 0000-0001-9803-103X

Funding

Digital Research Alliance of CanadaInnovation, Science and Economic Development CanadaNatural Sciences and Engineering Research Council of CanadaOntario Research Fund: Research ExcellenceUniversity of Toronto
6 · The paper itself

Abstract

The plant Arabidopsis thaliana is a model system used by researchers through much of plant research. Recent efforts have focused on discovering the genomic variation found in naturally occurring ecotypes isolated from around the world. These ecotypes have come from diverse climates and therefore have faced and adapted to a variety of abiotic and biotic stressors. The sequencing and comparative analysis of these genomes can offer insight into the adaptive strategies of plants. While there are a large number of ecotype genome sequences available, the majority were created using short-read technology. Mapping of short-reads containing structural variation to a reference genome bereft of that variation leads to incorrect mapping of those reads, resulting in a loss of genetic information and introduction of false heterozygosity. For this reason, long-read de novo sequencing of genomes is required to resolve structural variation events. In this article, we sequenced the genomes of eight natural variants of A. thaliana using nanopore sequencing. This resulted in highly contiguous assemblies with >95% of the genome contained within five contigs. The sequencing results from this study include five ecotypes from relict and African populations, an area of untapped genetic diversity. With this study, we increase the knowledge of diversity we have across A. thaliana ecotypes and contribute to ongoing production of an A. thaliana pan-genome.

Indexed as

ArabidopsisEcotypeGenome, PlantChromosomes, PlantGenetic VariationMolecular Sequence AnnotationArabidopsisecotypeslong-read sequencingnatural variationpan-genomestructural variation

Identifiers

PMID39101619
PMCPMC11327923

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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.