Evidence map›Paper›PMID 38462715›Full record

ArticleThe plant genome2024

A chromosome-level genome of mango exclusively from long-read sequence data.

Upendra Kumari Wijesundara, Ardashir Kharabian Masouleh, Agnelo Furtado, Natalie L Dillon, Robert J Henry

Abstract read
In one paragraph

Article in The plant genome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  6. Citrus genomes: past, present and future.Horticulture research · 2025
    Article
  7. Article
  8. Article
  9. 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

5 authors.

Upendra Kumari WijesundaraQueensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, Queensland, Australia.
Ardashir Kharabian MasoulehQueensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, Queensland, Australia.
Agnelo FurtadoQueensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, Queensland, Australia.
Natalie L DillonDepartment of Agriculture and Fisheries, Mareeba, Queensland, Australia.
Robert J HenryQueensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-4060-0292

Funding

Australian Research Council CE200100015Hort Innovation AS17000
6 · The paper itself

Abstract

Improvements in long-read sequencing techniques have greatly accelerated plant genome sequencing. Current de novo assemblies are routinely achieved by assembling long-read sequence data into contigs that are assembled to chromosome level by chromatin conformation capture. We report here a chromosome-level mango genome using only PacBio high-fidelity (HiFi) long reads. HiFi reads at high coverage (204x) resulted in the assembly of 17 chromosomes, each as a single contig with telomeres at both ends. The remaining three chromosomes were represented each by two contigs, with telomeres at one end and ribosomal repeats at the other end. Analyzing contig ends allowed them to be paired and linked to generate the remaining three complete chromosomes, telomere-to-telomere but with ribosomal repeats of uncertain length. The assembled genome was 365 Mb with 100% completeness as assessed by Benchmarking Universal Single-Copy Orthologs analysis. The haplotypes assembled demonstrated extensive structural differences. This approach using very high genome coverage may be useful for assembling high-quality genomes for many other plants.

Indexed as

Chromosomes, PlantGenome, PlantMangiferaSequence Analysis, DNA

Identifiers

PMID38462715
PMCPMC12806855

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.