Variant analysis of RNA sequences in severe equine asthma
- Published
- Accepted
- Subject Areas
- Genetics, Veterinary Medicine, Allergy and Clinical Immunology, Respiratory Medicine
- Keywords
- Severe asthma, recurrent airway obstruction, equine, single nucleotide variant, cilia, rotatin, Parkin co-regulated, RTTN, PACRG
- Copyright
- © 2017 Tessier et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2017. Variant analysis of RNA sequences in severe equine asthma. PeerJ Preprints 5:e3491v1 https://doi.org/10.7287/peerj.preprints.3491v1
Abstract
Background. Severe equine asthma is a chronic inflammatory disease of the lung in horses similar to low-Th2 late-onset asthma in humans. The disease in horses has complex inheritance including both dominant and recessive patterns that are ill defined. This study aimed to determine the utility of RNA-Seq to call gene variants and identify mutations potentially linked to disease. Methods. RNA-Seq data were generated from endobronchial biopsies collected from 6 asthmatic and 7 non-asthmatic horses before and after challenge (26 samples total). Sequences were aligned to the equine genome with Spliced Transcripts Alignment to Reference software. Read preparation for variant calling was performed with Picard tools and Genome Analysis Toolkit (GATK). Coverage was visualized using Integrative Genomic Viewer software and variants were called and filtered using GATK and Ensembl Variant Effect Predictor (VEP) tools. Novel variant selection by VEP was based on score of <0.01 predicted with Sorting Intolerant From Tolerant (SIFT) software, missense nature, location within the protein coding sequence and presence in all asthmatic individuals. For selected mutations, the effect of predicted variants on protein function was assessed with Polymorphism Phenotyping (PolyPhen) 2 and Screening for Non-Acceptable Polymorphism (SNAP) 2 softwares. RNA-Seq predicted variants were confirmed in all horses, and investigated in an additional 4 asthmatic and 7 non-asthmatic individuals with PCR and Sanger sequencing. Gene alignment and 3D protein structures were predicted with Geneious software. Results. Level of expression across the genome was similar in all individuals. RNA-Seq variant calling and filtering identified with highest confidence mutations in PACRG and RTTN. Sanger sequencing confirmed that the PACRG variant was appropriately identified in all 26 samples while the RTTN variant was identified correctly by RNA-Seq in 24 of 26 samples. SIFT and PolyPhen2 indicated both mutations would result in loss of function, and SNAP2 that they would be non-neutral. Amino acid substitutions projected no change of hydrophobicity and isoelectric point in PACRG, a change in both for RTTN; and a slight change in 3D structure for PACRG and RTTN. For PACRG, samples from additional individuals confirmed higher frequency of the heterozygous genotype in asthmatics, while the RTTN homozygous mutant phenotype was more prevalent in the asthmatic compared to non-asthmatic group. Discussion. RNA-Seq was sensitive and specific for calling gene variants in this disease model. Even moderate coverage (<10-20 cpm) yielded correct identification in 92% of samples, suggesting RNA-Seq may be suitable to detect variants in low coverage samples. The impact of amino acid alterations in PACRG and RTTN proteins are unknown at this point, but their role in structure and function of cilia may warrant further investigation.
Author Comment
This is a submission to PeerJ for review.
Supplemental Information
Variants detected in asthmatic and non-asthmatic horses with Genome Analysis Toolkit (GATK)
The Venn diagram was generated with SeqMule to identify variants present in all asthmatics before (red) and after challenge (green), and in non-asthmatics before (turquoise) and after challenge (purple).
Predicted effect of variants in all (left) and coding (right) regions for asthmatic horses before (upper) and after (lower) challenge
Analysis was done using Ensembl Variant Effect Predictor (VEP) tools.
Predicted effect of variants from all (left) and coding (right) regions for asthmatic horses before (upper) and after (lower) challenge
Analysis was done using Ensembl Variant Effect Predictor (VEP) tools.
Results of analysis of PACRG (A) and RTTN (B) mutations with PolyPhen2 software
Mutations were predicted as probably damaging in PACRG and RTTN proteins with confidence scores of 0.993 and 0.979, respectively.
