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Liu Y, Liu S, Sheng H, Feng X, Wang S, Hu Y, Zhang L, Cai B, Ma Y. Revolutionizing cattle breeding: Gene editing advancements for enhancing economic traits. Gene 2024; 927:148595. [PMID: 38795857 DOI: 10.1016/j.gene.2024.148595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 05/15/2024] [Accepted: 05/20/2024] [Indexed: 05/28/2024]
Abstract
Beef and dairy products are rich in protein and amino acids, making them highly nutritious for human consumption. The increasing use of gene editing technology in agriculture has paved the way for genetic improvement in cattle breeding via the development of the CRISPR/Cas (clustered regularly interspaced short palindromic repeats/CRISPR-associated protein) system. Gene sequences are artificially altered and employed in the pursuit of improving bovine breeding research through targeted knockout, knock-in, substitution, and mutation methods. This review offers a comprehensive analysis of the advancements in gene editing technology and its diverse applications in enhancing both quantitative and qualitative traits across livestock. These applications encompass areas such as meat quality, milk quality, fertility, disease resistance, environmental adaptability, sex control, horn development, and coat colour. Furthermore, the review considers prospective ideas and insights that may be employed to refine breeding traits, enhance editing efficiency, and navigate the ethical considerations associated with these advancements. The review's focus on improving the quality of beef and milk is intended to enhance the economic viability of these products. Furthermore, it constitutes a valuable resource for scholars and researchers engaged in the fields of cattle genetic improvement and breeding.
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Affiliation(s)
- Yuan Liu
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, Ningxia University, Yinchuan 750021, China.
| | - Shuang Liu
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, Ningxia University, Yinchuan 750021, China.
| | - Hui Sheng
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, Ningxia University, Yinchuan 750021, China.
| | - Xue Feng
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, Ningxia University, Yinchuan 750021, China.
| | - Shuzhe Wang
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, Ningxia University, Yinchuan 750021, China.
| | - Yamei Hu
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, Ningxia University, Yinchuan 750021, China.
| | - Lingkai Zhang
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, Ningxia University, Yinchuan 750021, China.
| | - Bei Cai
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, Ningxia University, Yinchuan 750021, China
| | - Yun Ma
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, Ningxia University, Yinchuan 750021, China.
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Li B, Zhai G, Dong Y, Wang L, Ma P. Recent progress on the CRISPR/Cas system in optical biosensors. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:798-816. [PMID: 38259224 DOI: 10.1039/d3ay02147e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated (Cas) protein systems are adaptive immune systems unique to archaea and bacteria, with the characteristics of targeted recognition and gene editing to resist the invasion of foreign nucleic acids. Biosensors combined with the CRISPR/Cas system and optical detection technology have attracted much attention in medical diagnoses, food safety, agricultural progress, and environmental monitoring owing to their good sensitivity, high selectivity, and fast detection efficiency. In this review, we introduce the mechanism of CRISPR/Cas systems and developments in this area, followed by summarizing recent progress on CRISPR/Cas system-based optical biosensors combined with colorimetric, fluorescence, electrochemiluminescence and surface-enhanced Raman scattering optical techniques in various fields. Finally, we discuss the challenges and future perspectives of CRISPR/Cas systems in optical biosensors.
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Affiliation(s)
- Bingqian Li
- School of Special Education and Rehabilitation, Binzhou Medical University, Yantai 264003, China.
| | - Guangyu Zhai
- School of Pharmacy, Binzhou Medical University, Yantai 264003, China
| | - Yaru Dong
- School of Pharmacy, Binzhou Medical University, Yantai 264003, China
| | - Lan Wang
- School of Special Education and Rehabilitation, Binzhou Medical University, Yantai 264003, China.
| | - Peng Ma
- School of Basic Medicine, Binzhou Medical University, Yantai 264003, China.
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Lu B, Guo Z, Zhong K, Osire T, Sun Y, Jiang L. State of the art in CRISPR/Cas system-based signal conversion and amplification applied in the field of food analysis. Trends Food Sci Technol 2023. [DOI: 10.1016/j.tifs.2023.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
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