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Kang HI, Kim IS, Shim D, Kang KS, Cheon KS. Genomic selection for growth characteristics in Korean red pine ( Pinus densiflora Seibold & Zucc.). FRONTIERS IN PLANT SCIENCE 2024; 15:1285094. [PMID: 38322820 PMCID: PMC10844423 DOI: 10.3389/fpls.2024.1285094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 01/05/2024] [Indexed: 02/08/2024]
Abstract
Traditionally, selective breeding has been used to improve tree growth. However, traditional selection methods are time-consuming and limit annual genetic gain. Genomic selection (GS) offers an alternative to progeny testing by estimating the genotype-based breeding values of individuals based on genomic information using molecular markers. In the present study, we introduced GS to an open-pollinated breeding population of Korean red pine (Pinus densiflora), which is in high demand in South Korea, to shorten the breeding cycle. We compared the prediction accuracies of GS for growth characteristics (diameter at breast height [DBH], height, straightness, and volume) in Korean red pines under various conditions (marker set, model, and training set) and evaluated the selection efficiency of GS compared to traditional selection methods. Training the GS model to include individuals from various environments using genomic best linear unbiased prediction (GBLUP) and markers with a minor allele frequency larger than 0.05 was effective. The optimized model had an accuracy of 0.164-0.498 and a predictive ability of 0.018-0.441. The predictive ability of GBLUP against that of additive best linear unbiased prediction (ABLUP) was 0.86-5.10, and against the square root of heritability was 0.19-0.76, indicating that GS for Korean red pine was as efficient as in previous studies on forest trees. Moreover, the response to GS was higher than that to traditional selection regarding the annual genetic gain. Therefore, we conclude that the trained GS model is more effective than the traditional breeding methods for Korean red pines. We anticipate that the next generation of trees selected by GS will lay the foundation for the accelerated breeding of Korean red pine.
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Affiliation(s)
- Hye-In Kang
- Division of Tree Improvement and Biotechnology, Department of Forest Bio-resources, National Institute of Forest Science, Suwon, Republic of Korea
| | - In Sik Kim
- Division of Tree Improvement and Biotechnology, Department of Forest Bio-resources, National Institute of Forest Science, Suwon, Republic of Korea
| | - Donghwan Shim
- Department of Biological Sciences, Chungnam National University, Daejeon, Republic of Korea
| | - Kyu-Suk Kang
- Department of Agriculture, Forestry and Bioresources, College of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Kyeong-Seong Cheon
- Division of Tree Improvement and Biotechnology, Department of Forest Bio-resources, National Institute of Forest Science, Suwon, Republic of Korea
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Huang MC, Chuang TP, Chen CH, Wu JY, Chen YT, Li LH, Yang HC. An integrated analysis tool for analyzing hybridization intensities and genotypes using new-generation population-optimized human arrays. BMC Genomics 2016; 17:266. [PMID: 27029637 PMCID: PMC4815280 DOI: 10.1186/s12864-016-2478-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2015] [Accepted: 02/16/2016] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Affymetrix Axiom single nucleotide polymorphism (SNP) arrays provide a cost-effective, high-density, and high-throughput genotyping solution for population-optimized analyses. However, no public software is available for the integrated genomic analysis of hybridization intensities and genotypes for this new-generation population-optimized genotyping platform. RESULTS A set of statistical methods was developed for an integrated analysis of allele frequency (AF), allelic imbalance (AI), loss of heterozygosity (LOH), long contiguous stretch of homozygosity (LCSH), and copy number variation or alteration (CNV/CNA) on the basis of SNP probe hybridization intensities and genotypes. This study analyzed 3,236 samples that were genotyped using different SNP platforms. The proposed AF adjustment method considerably increased the accuracy of AF estimation. The proposed quick circular binary segmentation algorithm for segmenting copy number reduced the computation time of the original segmentation method by 30-67 %. The proposed CNV/CNA detection, which integrates AI and LOH/LCSH detection, had a promising true positive rate and well-controlled false positive rate in simulation studies. Moreover, our real-time quantitative polymerase chain reaction experiments successfully validated the CNVs/CNAs that were identified in the Axiom data analyses using the proposed methods; some of the validated CNVs/CNAs were not detected in the Affymetrix Array 6.0 data analysis using the Affymetrix Genotyping Console. All the analysis functions are packaged into the ALICE (AF/LOH/LCSH/AI/CNV/CNA Enterprise) software. CONCLUSIONS ALICE and the used genomic reference databases, which can be downloaded from http://hcyang.stat.sinica.edu.tw/software/ALICE.html , are useful resources for analyzing genomic data from the Axiom and other SNP arrays.
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Affiliation(s)
- Mei-Chu Huang
- Bioinformatics Program, Taiwan International Graduate Program, Institute of Information Science, Academia Sinica, Taipei, 115, Taiwan.,Institute of Statistical Science, Academia Sinica, No 128, Academia Rd, Sec 2, Nankang, Taipei, 115, Taiwan.,Institute of Biomedical Informatics, National Yang-Ming University, Taipei, 112, Taiwan
| | - Tzu-Po Chuang
- Taiwan International Graduate Program in Molecular Medicine, National Yang-Ming University and Academia Sinica, Taipei, 115, Taiwan.,Institute of Biochemistry and Molecular Biology, National Yang-Ming University, Taipei, 112, Taiwan
| | - Chien-Hsiun Chen
- Institute of Biomedical Sciences, Academia Sinica, Academia Rd, Sec 2, Nankang, Taipei, 115, Taiwan
| | - Jer-Yuarn Wu
- Institute of Biomedical Sciences, Academia Sinica, Academia Rd, Sec 2, Nankang, Taipei, 115, Taiwan
| | - Yuan-Tsong Chen
- Institute of Biomedical Sciences, Academia Sinica, Academia Rd, Sec 2, Nankang, Taipei, 115, Taiwan
| | - Ling-Hui Li
- Institute of Biomedical Sciences, Academia Sinica, Academia Rd, Sec 2, Nankang, Taipei, 115, Taiwan.
| | - Hsin-Chou Yang
- Bioinformatics Program, Taiwan International Graduate Program, Institute of Information Science, Academia Sinica, Taipei, 115, Taiwan. .,Institute of Statistical Science, Academia Sinica, No 128, Academia Rd, Sec 2, Nankang, Taipei, 115, Taiwan. .,Institute of Public Health, National Yang Ming University, Taipei, 112, Taiwan. .,Department of Statistics, National Cheng Kung University, Tainan, 701, Taiwan. .,Institute of Statistics, National Tsing Hua University, Hsinchu, 300, Taiwan. .,School of Public Health, National Defense Medical Center, Taipei, 114, Taiwan.
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Uckun FM, Ma H, Ishkhanian R, Arellano M, Shahidzadeh A, Termuhlen A, Gaynon PS, Qazi S. Constitutive function of the Ikaros transcription factor in primary leukemia cells from pediatric newly diagnosed high-risk and relapsed B-precursor ALL patients. PLoS One 2013; 8:e80732. [PMID: 24278314 PMCID: PMC3835424 DOI: 10.1371/journal.pone.0080732] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2013] [Accepted: 10/05/2013] [Indexed: 11/18/2022] Open
Abstract
We examined the constitutive function of the Ikaros (IK) transcription factor in blast cells from pediatric B-precursor acute lymphoblastic leukemia (BPL) patients using multiple assay platforms and bioinformatics tools. We found no evidence of diminished IK expression or function for primary cells from high-risk BPL patients including a Philadelphia chromosome (Ph)+ subset. Relapse clones as well as very aggressive in vivo clonogenic leukemic B-cell precursors isolated from spleens of xenografted NOD/SCID mice that developed overt leukemia after inoculation with primary leukemic cells of patients with BPL invariably and abundantly expressed intact IK protein. These results demonstrate that a lost or diminished IK function is not a characteristic feature of leukemic cells in Ph+ or Ph- high-risk BPL.
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Affiliation(s)
- Fatih M. Uckun
- Systems Immunobiology Laboratory and Developmental Therapeutics Program, Children’s Center for Cancer and Blood Diseases, Children’s Hospital Los Angeles, Los Angeles, California, United States of America
- Department of Pediatrics, University of Southern California Keck School of Medicine, Los Angeles, California, United States of America
- Developmental Therapeutics Program, USC Norris Comprehensive Cancer Center, Los Angeles, California, United States of America
- * E-mail:
| | - Hong Ma
- Systems Immunobiology Laboratory and Developmental Therapeutics Program, Children’s Center for Cancer and Blood Diseases, Children’s Hospital Los Angeles, Los Angeles, California, United States of America
| | - Rita Ishkhanian
- Systems Immunobiology Laboratory and Developmental Therapeutics Program, Children’s Center for Cancer and Blood Diseases, Children’s Hospital Los Angeles, Los Angeles, California, United States of America
| | - Martha Arellano
- Systems Immunobiology Laboratory and Developmental Therapeutics Program, Children’s Center for Cancer and Blood Diseases, Children’s Hospital Los Angeles, Los Angeles, California, United States of America
| | - Anoush Shahidzadeh
- Systems Immunobiology Laboratory and Developmental Therapeutics Program, Children’s Center for Cancer and Blood Diseases, Children’s Hospital Los Angeles, Los Angeles, California, United States of America
| | - Amanda Termuhlen
- Department of Pediatrics, University of Southern California Keck School of Medicine, Los Angeles, California, United States of America
- Jonathan Jaques Cancer Center, Miller Children’s Hospital, Long Beach, California, United States of America
| | - Paul S. Gaynon
- Department of Pediatrics, University of Southern California Keck School of Medicine, Los Angeles, California, United States of America
| | - Sanjive Qazi
- Systems Immunobiology Laboratory and Developmental Therapeutics Program, Children’s Center for Cancer and Blood Diseases, Children’s Hospital Los Angeles, Los Angeles, California, United States of America
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Fan YH, Song YQ. IPGWAS: an integrated pipeline for rational quality control and association analysis of genome-wide genetic studies. Biochem Biophys Res Commun 2012; 422:363-8. [PMID: 22564732 DOI: 10.1016/j.bbrc.2012.04.117] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2012] [Accepted: 04/21/2012] [Indexed: 01/03/2023]
Abstract
Large numbers of samples and marker loci were tested for association in genome-wide association studies (GWAS). Hence, quality control (QC) by removing individuals or markers with low genotyping quality is of utmost importance to minimize potential false positive associations. IPGWAS was developed to facilitate the identification of the rational thresholds in QC of GWAS datasets, association analysis, Manhattan plot, quantile-quantile (QQ) plot, and format conversion for genetic analyses, such as meta-analysis, genotype phasing, and imputation. IPGWAS is a multiplatform application written in Perl with a graphical user interface (GUI) and available for free at http://sourceforge.net/projects/ipgwas/.
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Affiliation(s)
- Yan-Hui Fan
- Department of Biochemistry, The University of Hong Kong, Pokfulam, Hong Kong.
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