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Hiraoka Y, Ferrante SP, Wu GA, Federici CT, Roose ML. Development and Assessment of SNP Genotyping Arrays for Citrus and Its Close Relatives. Plants (Basel) 2024; 13:691. [PMID: 38475537 DOI: 10.3390/plants13050691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 02/13/2024] [Accepted: 02/22/2024] [Indexed: 03/14/2024]
Abstract
Rapid advancements in technologies provide various tools to analyze fruit crop genomes to better understand genetic diversity and relationships and aid in breeding. Genome-wide single nucleotide polymorphism (SNP) genotyping arrays offer highly multiplexed assays at a relatively low cost per data point. We report the development and validation of 1.4M SNP Axiom® Citrus HD Genotyping Array (Citrus 15AX 1 and Citrus 15AX 2) and 58K SNP Axiom® Citrus Genotyping Arrays for Citrus and close relatives. SNPs represented were chosen from a citrus variant discovery panel consisting of 41 diverse whole-genome re-sequenced accessions of Citrus and close relatives, including eight progenitor citrus species. SNPs chosen mainly target putative genic regions of the genome and are accurately called in both Citrus and its closely related genera while providing good coverage of the nuclear and chloroplast genomes. Reproducibility of the arrays was nearly 100%, with a large majority of the SNPs classified as the most stringent class of markers, "PolyHighResolution" (PHR) polymorphisms. Concordance between SNP calls in sequence data and array data average 98%. Phylogenies generated with array data were similar to those with comparable sequence data and little affected by 3 to 5% genotyping error. Both arrays are publicly available.
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Affiliation(s)
- Yoko Hiraoka
- Department of Botany and Plant Sciences, University of California, Riverside, CA 92521, USA
| | - Sergio Pietro Ferrante
- Department of Botany and Plant Sciences, University of California, Riverside, CA 92521, USA
| | - Guohong Albert Wu
- US Department of Energy Joint Genome Institute, Walnut Creek, CA 94598, USA
| | - Claire T Federici
- Department of Botany and Plant Sciences, University of California, Riverside, CA 92521, USA
| | - Mikeal L Roose
- Department of Botany and Plant Sciences, University of California, Riverside, CA 92521, USA
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Li R, Qu H, Chen J, Wang S, Chater JM, Zhang L, Wei J, Zhang YM, Xu C, Zhong WD, Zhu J, Lu J, Feng Y, Chen W, Ma R, Ferrante SP, Roose ML, Jia Z. Inference of Chromosome-Length Haplotypes Using Genomic Data of Three or a Few More Single Gametes. Mol Biol Evol 2021; 37:3684-3698. [PMID: 32668004 PMCID: PMC7743722 DOI: 10.1093/molbev/msaa176] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Compared with genomic data of individual markers, haplotype data provide higher resolution for DNA variants, advancing our knowledge in genetics and evolution. Although many computational and experimental phasing methods have been developed for analyzing diploid genomes, it remains challenging to reconstruct chromosome-scale haplotypes at low cost, which constrains the utility of this valuable genetic resource. Gamete cells, the natural packaging of haploid complements, are ideal materials for phasing entire chromosomes because the majority of the haplotypic allele combinations has been preserved. Therefore, compared with the current diploid-based phasing methods, using haploid genomic data of single gametes may substantially reduce the complexity in inferring the donor’s chromosomal haplotypes. In this study, we developed the first easy-to-use R package, Hapi, for inferring chromosome-length haplotypes of individual diploid genomes with only a few gametes. Hapi outperformed other phasing methods when analyzing both simulated and real single gamete cell sequencing data sets. The results also suggested that chromosome-scale haplotypes may be inferred by using as few as three gametes, which has pushed the boundary to its possible limit. The single gamete cell sequencing technology allied with the cost-effective Hapi method will make large-scale haplotype-based genetic studies feasible and affordable, promoting the use of haplotype data in a wide range of research.
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Affiliation(s)
- Ruidong Li
- Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA.,Graduate Program in Genetics, Genomics, and Bioinformatics, University of California, Riverside, Riverside, CA
| | - Han Qu
- Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA
| | - Jinfeng Chen
- Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA
| | - Shibo Wang
- Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA
| | - John M Chater
- Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA
| | - Le Zhang
- Graduate Program in Genetics, Genomics, and Bioinformatics, University of California, Riverside, Riverside, CA
| | - Julong Wei
- Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA.,Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI
| | - Yuan-Ming Zhang
- Statistical Genomics Lab, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Chenwu Xu
- Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Co-Innovation Center for Modern Production Technology of Grain Crops, Key Laboratory of Plant Functional Genomics of Ministry of Education, Yangzhou University, Yangzhou, China
| | - Wei-De Zhong
- Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | - Jianguo Zhu
- Department of Urology, Guizhou Provincial People's Hospital, Guizhou, China
| | - Jianming Lu
- Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA.,Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | - Yuanfa Feng
- Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA.,Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | - Weiming Chen
- Department of Urology, Guizhou Provincial People's Hospital, Guizhou, China
| | - Renyuan Ma
- Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA.,Department of Mathematics, Bowdoin College, Brunswick, ME
| | - Sergio Pietro Ferrante
- Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA
| | - Mikeal L Roose
- Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA.,Graduate Program in Genetics, Genomics, and Bioinformatics, University of California, Riverside, Riverside, CA
| | - Zhenyu Jia
- Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA.,Graduate Program in Genetics, Genomics, and Bioinformatics, University of California, Riverside, Riverside, CA
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