A high-performance computational workflow to accelerate GATK SNP detection across a 25-genome dataset.

Autor: Zhou Y; Center for Desert Agriculture (CDA), Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.; Arizona Genomics Institute (AGI), School of Plant Sciences, University of Arizona, Tucson, AZ, 85721, USA., Kathiresan N; KAUST Supercomputing Laboratory (KSL), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia., Yu Z; Center for Desert Agriculture (CDA), Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.; National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China., Rivera LF; Center for Desert Agriculture (CDA), Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia., Yang Y; National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China., Thimma M; Center for Desert Agriculture (CDA), Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia., Manickam K; Center for Desert Agriculture (CDA), Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia., Chebotarov D; International Rice Research Institute (IRRI), Los Baños, Laguna, 4031, Philippines., Mauleon R; International Rice Research Institute (IRRI), Los Baños, Laguna, 4031, Philippines., Chougule K; Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA., Wei S; Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA., Gao T; National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China., Green CD; Information Technology Department, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia., Zuccolo A; Center for Desert Agriculture (CDA), Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.; Crop Science Research Center (CSRC), Scuola Superiore Sant'Anna, Pisa, 56127, Italy., Xie W; National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China., Ware D; Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA.; USDA ARS NEA Plant, Soil & Nutrition Laboratory Research Unit, Ithaca, NY, 14853, USA., Zhang J; National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China., McNally KL; International Rice Research Institute (IRRI), Los Baños, Laguna, 4031, Philippines., Wing RA; Center for Desert Agriculture (CDA), Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia. rwing@ag.arizona.edu.; Arizona Genomics Institute (AGI), School of Plant Sciences, University of Arizona, Tucson, AZ, 85721, USA. rwing@ag.arizona.edu.; International Rice Research Institute (IRRI), Los Baños, Laguna, 4031, Philippines. rwing@ag.arizona.edu.
Jazyk: angličtina
Zdroj: BMC biology [BMC Biol] 2024 Jan 25; Vol. 22 (1), pp. 13. Date of Electronic Publication: 2024 Jan 25.
DOI: 10.1186/s12915-024-01820-5
Abstrakt: Background: Single-nucleotide polymorphisms (SNPs) are the most widely used form of molecular genetic variation studies. As reference genomes and resequencing data sets expand exponentially, tools must be in place to call SNPs at a similar pace. The genome analysis toolkit (GATK) is one of the most widely used SNP calling software tools publicly available, but unfortunately, high-performance computing versions of this tool have yet to become widely available and affordable.
Results: Here we report an open-source high-performance computing genome variant calling workflow (HPC-GVCW) for GATK that can run on multiple computing platforms from supercomputers to desktop machines. We benchmarked HPC-GVCW on multiple crop species for performance and accuracy with comparable results with previously published reports (using GATK alone). Finally, we used HPC-GVCW in production mode to call SNPs on a "subpopulation aware" 16-genome rice reference panel with ~ 3000 resequenced rice accessions. The entire process took ~ 16 weeks and resulted in the identification of an average of 27.3 M SNPs/genome and the discovery of ~ 2.3 million novel SNPs that were not present in the flagship reference genome for rice (i.e., IRGSP RefSeq).
Conclusions: This study developed an open-source pipeline (HPC-GVCW) to run GATK on HPC platforms, which significantly improved the speed at which SNPs can be called. The workflow is widely applicable as demonstrated successfully for four major crop species with genomes ranging in size from 400 Mb to 2.4 Gb. Using HPC-GVCW in production mode to call SNPs on a 25 multi-crop-reference genome data set produced over 1.1 billion SNPs that were publicly released for functional and breeding studies. For rice, many novel SNPs were identified and were found to reside within genes and open chromatin regions that are predicted to have functional consequences. Combined, our results demonstrate the usefulness of combining a high-performance SNP calling architecture solution with a subpopulation-aware reference genome panel for rapid SNP discovery and public deployment.
(© 2024. The Author(s).)
Databáze: MEDLINE
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