ChoCallate: a computational pipeline for consensus germline variant calling in genomic sequencing data.

IF 2.9 3区 生物学 Q2 MULTIDISCIPLINARY SCIENCES
PeerJ Pub Date : 2026-09-29 eCollection Date: 2026-01-01 DOI:10.7717/peerj.21758
Aleksey Ermolaev, Mikhail Divashuk
{"title":"ChoCallate: a computational pipeline for consensus germline variant calling in genomic sequencing data.","authors":"Aleksey Ermolaev, Mikhail Divashuk","doi":"10.7717/peerj.21758","DOIUrl":null,"url":null,"abstract":"<p><p>Accurate germline variant calling in non-model and polyploid organisms remains challenging due to sequencing errors, genomic complexity, and caller-specific biases. Existing ensemble methods of variant calling are constrained by species-specific training, limited portability, or an inability to process multiple samples concurrently. To address these limitations we developed ChoCallate, a Nextflow-based pipeline for consensus germline variant calling. The pipeline integrates three species-independent callers, bcftools, FreeBayes, and Genome Analysis Toolkit (GATK) HaplotypeCaller, within a flexible voting mechanism. A distinctive feature of ChoCallate is its incorporation of coverage-aware consensus generation <i>via</i> Browser Extensible Data (BED) file, enabling reliable variant identification even in reduced-representation sequencing data such as Restriction site Associated DNA sequencing (RAD-seq) or RNA-seq. In a simulated dataset containing 10,000 single-nucleotide polymorphisms (SNPs) and 1,000 InDels of <i>Arabidopsis thaliana</i> across coverage depths ranging from 3× to 50×, the two-vote consensus strategy provided a favourable precision-recall balance, particularly at lower coverage (3×-10×), where SNP precision was enhanced without substantial loss of sensitivity. False-negative variants were found to concentrate in centromeric and nucleolus organizer regions (NORs) across all strategies, indicating that repetitive genomic structure, rather than consensus logic, constitutes the primary limitation. In a case study of 200 bread wheat (<i>Triticum aestivum</i>) samples, ChoCallate identified 11,178 high-confidence variants, and a genome-wide association study (GWAS) for awnedness successfully recovered the known B1/ALI-1 locus on chromosome 5A, replicating prior findings with reduced genomic inflation (<i>λ</i> (gc) = 1.06) by decreasing the number of false-positive variants through a consensus-based approach. ChoCallate is portable, species-agnostic, and freely available.</p>","PeriodicalId":19799,"journal":{"name":"PeerJ","volume":"14 ","pages":"e21758"},"PeriodicalIF":2.9000,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13632679/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PeerJ","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.7717/peerj.21758","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Accurate germline variant calling in non-model and polyploid organisms remains challenging due to sequencing errors, genomic complexity, and caller-specific biases. Existing ensemble methods of variant calling are constrained by species-specific training, limited portability, or an inability to process multiple samples concurrently. To address these limitations we developed ChoCallate, a Nextflow-based pipeline for consensus germline variant calling. The pipeline integrates three species-independent callers, bcftools, FreeBayes, and Genome Analysis Toolkit (GATK) HaplotypeCaller, within a flexible voting mechanism. A distinctive feature of ChoCallate is its incorporation of coverage-aware consensus generation via Browser Extensible Data (BED) file, enabling reliable variant identification even in reduced-representation sequencing data such as Restriction site Associated DNA sequencing (RAD-seq) or RNA-seq. In a simulated dataset containing 10,000 single-nucleotide polymorphisms (SNPs) and 1,000 InDels of Arabidopsis thaliana across coverage depths ranging from 3× to 50×, the two-vote consensus strategy provided a favourable precision-recall balance, particularly at lower coverage (3×-10×), where SNP precision was enhanced without substantial loss of sensitivity. False-negative variants were found to concentrate in centromeric and nucleolus organizer regions (NORs) across all strategies, indicating that repetitive genomic structure, rather than consensus logic, constitutes the primary limitation. In a case study of 200 bread wheat (Triticum aestivum) samples, ChoCallate identified 11,178 high-confidence variants, and a genome-wide association study (GWAS) for awnedness successfully recovered the known B1/ALI-1 locus on chromosome 5A, replicating prior findings with reduced genomic inflation (λ (gc) = 1.06) by decreasing the number of false-positive variants through a consensus-based approach. ChoCallate is portable, species-agnostic, and freely available.

巧克力:基因组测序数据中共识种系变异呼叫的计算管道。
在非模型和多倍体生物中,由于测序错误、基因组复杂性和呼叫者特异性偏差,准确的种系变异召唤仍然具有挑战性。现有的变量调用集成方法受到物种特异性训练、可移植性有限或无法同时处理多个样本的限制。为了解决这些限制,我们开发了ChoCallate,这是一个基于nextflow的共识种系变异调用管道。该管道在一个灵活的投票机制中集成了三个独立于物种的调用程序:bcftools、FreeBayes和Genome Analysis Toolkit (GATK) HaplotypeCaller。ChoCallate的一个显著特点是它通过浏览器可扩展数据(BED)文件整合了覆盖感知共识生成功能,即使在限制性内切位点相关DNA测序(ad -seq)或RNA-seq等代表性较低的测序数据中也能实现可靠的变异识别。在包含10,000个单核苷酸多态性(SNP)和1,000个拟南芥InDels的模拟数据集中,覆盖深度从3倍到50倍,两票共识策略提供了有利的精度-召回率平衡,特别是在较低的覆盖范围(3×-10×),其中SNP精度得到了增强,而不会大幅损失灵敏度。在所有策略中,假阴性变异都集中在着丝粒和核仁组织区(NORs),表明重复的基因组结构,而不是一致的逻辑,构成了主要的限制。在对200个面包小麦(Triticum aestivum)样本的案例研究中,ChoCallate鉴定出了11,178个高置信度变异,一项全基因组关联研究(GWAS)的认知性研究成功地恢复了5A染色体上已知的B1/ALI-1位点,通过基于共识的方法减少了假阳性变异的数量,从而降低了基因组膨胀(λ (gc) = 1.06),重复了先前的发现。巧克力是便携的,不受物种限制的,而且是免费的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
PeerJ
PeerJ MULTIDISCIPLINARY SCIENCES-
CiteScore
4.70
自引率
3.70%
发文量
1665
审稿时长
10 weeks
期刊介绍: PeerJ is an open access peer-reviewed scientific journal covering research in the biological and medical sciences. At PeerJ, authors take out a lifetime publication plan (for as little as $99) which allows them to publish articles in the journal for free, forever. PeerJ has 5 Nobel Prize Winners on the Board; they have won several industry and media awards; and they are widely recognized as being one of the most interesting recent developments in academic publishing.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书