Evidence map›Paper›PMID 30184069›Full record

ArticleBioinformatics (Oxford, England)2019

Phylogenetic approaches to identifying fragments of the same gene, with application to the wheat genome.

Ivana Piližota, Clément-Marie Train, Adrian Altenhoff, Henning Redestig, Christophe Dessimoz

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ivana PiližotaDepartment of Genetics Evolution & Environment, University College London, UK.
Clément-Marie TrainDepartment of Computational Biology, Lausanne, Switzerland.
Adrian AltenhoffSwiss Institute of Bioinformatics, Biophore Building, Lausanne, Switzerland.
Henning RedestigBayer CropScience NV, Ghent, Belgium.
Christophe DessimozDepartment of Genetics Evolution & Environment, University College London, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/L018241/1
6 · The paper itself

Abstract

motivationAs the time and cost of sequencing decrease, the number of available genomes and transcriptomes rapidly increases. Yet the quality of the assemblies and the gene annotations varies considerably and often remains poor, affecting downstream analyses. This is particularly true when fragments of the same gene are annotated as distinct genes, which may cause them to be mistaken as paralogs.

resultsIn this study, we introduce two novel phylogenetic tests to infer non-overlapping or partially overlapping genes that are in fact parts of the same gene. One approach collapses branches with low bootstrap support and the other computes a likelihood ratio test. We extensively validated these methods by (i) introducing and recovering fragmentation on the bread wheat, Triticum aestivum cv. Chinese Spring, chromosome 3B; (ii) by applying the methods to the low-quality 3B assembly and validating predictions against the high-quality 3B assembly; and (iii) by comparing the performance of the proposed methods to the performance of existing methods, namely Ensembl Compara and ESPRIT. Application of this combination to a draft shotgun assembly of the entire bread wheat genome revealed 1221 pairs of genes that are highly likely to be fragments of the same gene. Our approach demonstrates the power of fine-grained evolutionary inferences across multiple species to improving genome assemblies and annotations. AVAILABILITY AND IMPLEMENTATION: An open source software tool is available at https://github.com/DessimozLab/esprit2. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

TriticumGenome, PlantMolecular Sequence AnnotationPhylogenySoftware

Identifiers

PMID30184069
PMCPMC6449756

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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.