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Mueller ML, McNabb BR, Owen JR, Hennig SL, Ledesma AV, Angove ML, Conley AJ, Ross PJ, Van Eenennaam AL. Germline ablation achieved via CRISPR/Cas9 targeting of NANOS3 in bovine zygotes. Front Genome Ed 2023; 5:1321243. [PMID: 38089499 PMCID: PMC10711618 DOI: 10.3389/fgeed.2023.1321243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 11/09/2023] [Indexed: 02/01/2024] Open
Abstract
NANOS3 is expressed in migrating primordial germ cells (PGCs) to protect them from apoptosis, and it is known to be a critical factor for germline development of both sexes in several organisms. However, to date, live NANOS3 knockout (KO) cattle have not been reported, and the specific role of NANOS3 in male cattle, or bulls, remains unexplored. This study generated NANOS3 KO cattle via cytoplasmic microinjection of the CRISPR/Cas9 system in vitro produced bovine zygotes and evaluated the effect of NANOS3 elimination on bovine germline development, from fetal development through reproductive age. The co-injection of two selected guide RNA (gRNA)/Cas9 ribonucleoprotein complexes (i.e., dual gRNA approach) at 6 h post fertilization achieved a high NANOS3 KO rate in developing embryos. Subsequent embryo transfers resulted in a 31% (n = 8/26) pregnancy rate. A 75% (n = 6/8) total KO rate (i.e., 100% of alleles present contained complete loss-of-function mutations) was achieved with the dual gRNA editing approach. In NANOS3 KO fetal testes, PGCs were found to be completely eliminated by 41-day of fetal age. Importantly, despite the absence of germ cells, seminiferous tubule development was not impaired in NANOS3 KO bovine testes during fetal, perinatal, and adult stages. Moreover, a live, NANOS3 KO, germline-ablated bull was produced and at sexual maturity he exhibited normal libido, an anatomically normal reproductive tract, and intact somatic gonadal development and structure. Additionally, a live, NANOS3 KO, germline-ablated heifer was produced. However, it was evident that the absence of germ cells in NANOS3 KO cattle compromised the normalcy of ovarian development to a greater extent than it did testes development. The meat composition of NANOS3 KO cattle was unremarkable. Overall, this study demonstrated that the absence of NANOS3 in cattle leads to the specific deficiency of both male and female germ cells, suggesting the potential of NANOS3 KO cattle to act as hosts for donor-derived exogenous germ cell production in both sexes. These findings contribute to the understanding of NANOS3 function in cattle and have valuable implications for the development of novel breeding technologies using germline complementation in NANOS3 KO germline-ablated hosts.
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Affiliation(s)
- Maci L. Mueller
- Department of Animal Science, University of California, Davis, Davis, CA, United States
| | - Bret R. McNabb
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Joseph R. Owen
- Department of Animal Science, University of California, Davis, Davis, CA, United States
| | - Sadie L. Hennig
- Department of Animal Science, University of California, Davis, Davis, CA, United States
| | - Alba V. Ledesma
- Department of Animal Science, University of California, Davis, Davis, CA, United States
| | - Mitchell L. Angove
- Department of Animal Science, University of California, Davis, Davis, CA, United States
| | - Alan J. Conley
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Pablo J. Ross
- Department of Animal Science, University of California, Davis, Davis, CA, United States
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Hameed SS, Hassan R, Hassan WH, Muhammadsharif FF, Latiff LA. HDG-select: A novel GUI based application for gene selection and classification in high dimensional datasets. PLoS One 2021; 16:e0246039. [PMID: 33507983 PMCID: PMC7842997 DOI: 10.1371/journal.pone.0246039] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Accepted: 01/12/2021] [Indexed: 11/24/2022] Open
Abstract
The selection and classification of genes is essential for the identification of related genes to a specific disease. Developing a user-friendly application with combined statistical rigor and machine learning functionality to help the biomedical researchers and end users is of great importance. In this work, a novel stand-alone application, which is based on graphical user interface (GUI), is developed to perform the full functionality of gene selection and classification in high dimensional datasets. The so-called HDG-select application is validated on eleven high dimensional datasets of the format CSV and GEO soft. The proposed tool uses the efficient algorithm of combined filter-GBPSO-SVM and it was made freely available to users. It was found that the proposed HDG-select outperformed other tools reported in literature and presented a competitive performance, accessibility, and functionality.
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Affiliation(s)
- Shilan S. Hameed
- Computer Systems and Networks (CSN), Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia
- Directorate of Information Technology, Koya University, Koya, Kurdistan Region-F.R., Iraq
| | - Rohayanti Hassan
- School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia
| | - Wan Haslina Hassan
- Computer Systems and Networks (CSN), Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia
| | - Fahmi F. Muhammadsharif
- Department of Physics, Faculty of Science and Health, Koya University, Koya, Kurdistan Region-F.R., Iraq
| | - Liza Abdul Latiff
- U-BAN Research Group, Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia
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Bhat MA, Bhat MA, Kumar V, Wani IA, Bashir H, Shah AA, Rahman S, Jan AT. The era of editing plant genomes using CRISPR/Cas: A critical appraisal. J Biotechnol 2020; 324:34-60. [DOI: 10.1016/j.jbiotec.2020.09.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 09/08/2020] [Accepted: 09/14/2020] [Indexed: 12/11/2022]
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Wang Y, Liu Y, Zheng P, Sun J, Wang M. Microbial Base Editing: A Powerful Emerging Technology for Microbial Genome Engineering. Trends Biotechnol 2020; 39:165-180. [PMID: 32680590 DOI: 10.1016/j.tibtech.2020.06.010] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 06/16/2020] [Accepted: 06/17/2020] [Indexed: 02/08/2023]
Abstract
Genome engineering is crucial for answering fundamental questions about, and exploring practical applications of, microorganisms. Various microbial genome-engineering tools, including CRISPR/Cas-enhanced homologous recombination (HR), have been developed, with ever-improving simplicity, efficiency, and applicability. Recently, a powerful emerging technology based on CRISPR/Cas-nucleobase deaminase fusions, known as base editing, opened new avenues for microbial genome engineering. Base editing enables nucleotide transition without inducing lethal double-stranded (ds)DNA cleavage, adding foreign donor DNA, or depending on inefficient HR. Here, we review ongoing efforts to develop and apply base editing to engineer industrially and clinically relevant microorganisms. We also summarize bioinformatics tools that would greatly facilitate guide (g)RNA design and sequencing data analysis and discuss the future challenges and prospects associated with this technology.
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Affiliation(s)
- Yu Wang
- Key Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, China.
| | - Ye Liu
- Key Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, China
| | - Ping Zheng
- Key Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, China
| | - Jibin Sun
- Key Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, China
| | - Meng Wang
- Key Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, China.
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