2019
DOI: 10.1371/journal.pcbi.1007301
|View full text |Cite
|
Sign up to set email alerts
|

Measuring the impact of gene prediction on gene loss estimates in Eukaryotes by quantifying falsely inferred absences

Abstract: In recent years it became clear that in eukaryotic genome evolution gene loss is prevalent over gene gain. However, the absence of genes in an annotated genome is not always equivalent to the loss of genes. Due to sequencing issues, or incorrect gene prediction, genes can be falsely inferred as absent. This implies that loss estimates are overestimated and, more generally, that falsely inferred absences impact genomic comparative studies. However, reliable estimates of how prevalent this issue is are lacking. … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

4
49
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
5
3
2

Relationship

1
9

Authors

Journals

citations
Cited by 49 publications
(54 citation statements)
references
References 38 publications
4
49
0
Order By: Relevance
“…In comparative genomics studies, misleading conclusions can arise when the variable of interest (e.g., the evolution of herbivory) is biologically confounded with a causal variable (e.g., demographic events) (20) , or with a bioinformatic approach that lacks sensitivity or imparts lineage-specific biases (66) . We considered three strong sources of potential confounding in S. flava -shifts in demography (e.g., population size); artifactually missing, collapsed, or duplicated regions of the genome assembly; and incomplete gene annotations.…”
Section: Robustness Of Findings To Biological and Bioinformatic Confomentioning
confidence: 99%
“…In comparative genomics studies, misleading conclusions can arise when the variable of interest (e.g., the evolution of herbivory) is biologically confounded with a causal variable (e.g., demographic events) (20) , or with a bioinformatic approach that lacks sensitivity or imparts lineage-specific biases (66) . We considered three strong sources of potential confounding in S. flava -shifts in demography (e.g., population size); artifactually missing, collapsed, or duplicated regions of the genome assembly; and incomplete gene annotations.…”
Section: Robustness Of Findings To Biological and Bioinformatic Confomentioning
confidence: 99%
“…4). In the wake of symbiogenic mergers, which are very rare in evolution, gene loss sets in, whereby gene loss is very common in eukaryote genome evolution, one of its main underlying themes [41,45].…”
Section: Parasites With Their Reduced Genomes Such As Giardia Lamblmentioning
confidence: 99%
“…Taking the absence of genes in annotated gene sets at face value can, therefore, lead to wrong evolutionary inferences (Deutekom, et al 2019). However, for 33 LCALec genes we could find, to this point, no indication of an experimental artefact, and they appear genuinely absent from the U. pustulata genome (supplementary table S8, Supplementary Material online).…”
Section: Lineage Specific Absence Of Evolutionarily Old Genes In U Pmentioning
confidence: 99%