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Gao W, Chen X, He J, Sha A, Luo Y, Xiao W, Xiong Z, Li Q. Intraspecific and interspecific variations in the synonymous codon usage in mitochondrial genomes of 8 pleurotus strains. BMC Genomics 2024; 25:456. [PMID: 38730418 PMCID: PMC11084086 DOI: 10.1186/s12864-024-10374-3] [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: 06/12/2023] [Accepted: 05/03/2024] [Indexed: 05/12/2024] Open
Abstract
In this study, we investigated the codon bias of twelve mitochondrial core protein coding genes (PCGs) in eight Pleurotus strains, two of which are from the same species. The results revealed that the codons of all Pleurotus strains had a preference for ending in A/T. Furthermore, the correlation between codon base compositions and codon adaptation index (CAI), codon bias index (CBI) and frequency of optimal codons (FOP) indices was also detected, implying the influence of base composition on codon bias. The two P. ostreatus species were found to have differences in various base bias indicators. The average effective number of codons (ENC) of mitochondrial core PCGs of Pleurotus was found to be less than 35, indicating strong codon preference of mitochondrial core PCGs of Pleurotus. The neutrality plot analysis and PR2-Bias plot analysis further suggested that natural selection plays an important role in Pleurotus codon bias. Additionally, six to ten optimal codons (ΔRSCU > 0.08 and RSCU > 1) were identified in eight Pleurotus strains, with UGU and ACU being the most widely used optimal codons in Pleurotus. Finally, based on the combined mitochondrial sequence and RSCU value, the genetic relationship between different Pleurotus strains was deduced, showing large variations between them. This research has improved our understanding of synonymous codon usage characteristics and evolution of this important fungal group.
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Affiliation(s)
- Wei Gao
- Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu University, Chengdu, Sichuan, China
| | - Xiaodie Chen
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China
| | - Jing He
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China
| | - Ajia Sha
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China
| | - Yingyong Luo
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China
| | - Wenqi Xiao
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China
| | - Zhuang Xiong
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China
| | - Qiang Li
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China.
- School of Food and Biological Engineering, Chengdu University, 2025 # Chengluo Avenue, Longquanyi District, Chengdu, Sichuan, 610106, China.
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Ding H, Gao J, Yang J, Zhang S, Han S, Yi R, Ye Y, Kan X. Genome evolution of Buchnera aphidicola (Gammaproteobacteria): Insights into strand compositional asymmetry, codon usage bias, and phylogenetic implications. Int J Biol Macromol 2023; 253:126738. [PMID: 37690648 DOI: 10.1016/j.ijbiomac.2023.126738] [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: 05/02/2023] [Revised: 08/15/2023] [Accepted: 08/25/2023] [Indexed: 09/12/2023]
Abstract
Taxa of Buchnera aphidicola (hereafter "Buchnera") are mutualistic intracellular symbionts of aphids, known for their remarkable biological traits such as genome reduction, strand compositional asymmetry, and symbiont-host coevolution. With the growing availability of genomic data, we performed a comprehensive analysis of 103 genomes of Buchnera strains from 12 host subfamilies, focusing on the genomic characterizations, codon usage patterns, and phylogenetic implications. Our findings revealed consistent features among all genomes, including small genome sizes, low GC contents, and gene losses. We also identified strong strand compositional asymmetries in all strains at the genome level. Further investigation suggested that mutation pressure may have played a crucial role in shaping codon usage of Buchnera. Moreover, the genomic asymmetries were reflected in asymmetric codon usage preferences within chromosomal genes. Notably, the levels of these asymmetries were varied among strains and were significantly influenced by the degrees of genome shrinkages. Lastly, our phylogenetic analyses presented an alternative topology of Aphididae, based on the Buchnera symbionts, providing robust confirmation of the paraphylies of Eriosomatinae, and Macrosiphini. Our objectives are to further understand the strand compositional asymmetry and codon usage bias of Buchnera taxa, and provide new perspectives for phylogenetic studies of Aphididae.
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Affiliation(s)
- Hengwu Ding
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, College of Life Sciences, Anhui Normal University, Wuhu 241000, China; Key Laboratory of Development and Application of Rural Renewable Energy, Biogas Institute of Ministry of Agriculture and Rural Affairs, Chengdu 610041, China
| | - Jinming Gao
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, College of Life Sciences, Anhui Normal University, Wuhu 241000, China; The Institute of Bioinformatics, College of Life Sciences, Anhui Normal University, Wuhu 241000, China
| | - Jianke Yang
- School of Basic Medical Sciences, Wannan Medical College, Wuhu 241000, China
| | - Sijia Zhang
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, College of Life Sciences, Anhui Normal University, Wuhu 241000, China; The Institute of Bioinformatics, College of Life Sciences, Anhui Normal University, Wuhu 241000, China
| | - Shiyun Han
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, College of Life Sciences, Anhui Normal University, Wuhu 241000, China; The Institute of Bioinformatics, College of Life Sciences, Anhui Normal University, Wuhu 241000, China
| | - Ran Yi
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, College of Life Sciences, Anhui Normal University, Wuhu 241000, China; The Institute of Bioinformatics, College of Life Sciences, Anhui Normal University, Wuhu 241000, China
| | - Yuanxin Ye
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, College of Life Sciences, Anhui Normal University, Wuhu 241000, China; The Institute of Bioinformatics, College of Life Sciences, Anhui Normal University, Wuhu 241000, China
| | - Xianzhao Kan
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, College of Life Sciences, Anhui Normal University, Wuhu 241000, China; The Institute of Bioinformatics, College of Life Sciences, Anhui Normal University, Wuhu 241000, China.
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Yang Q, Xin C, Xiao QS, Lin YT, Li L, Zhao JL. Codon usage bias in chloroplast genes implicate adaptive evolution of four ginger species. FRONTIERS IN PLANT SCIENCE 2023; 14:1304264. [PMID: 38169692 PMCID: PMC10758403 DOI: 10.3389/fpls.2023.1304264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 12/01/2023] [Indexed: 01/05/2024]
Abstract
Codon usage bias (CUB) refers to different codons exhibiting varying frequencies of usage in the genome. Studying CUB is crucial for understanding genome structure, function, and evolutionary processes. Herein, we investigated the codon usage patterns and influencing factors of protein-coding genes in the chloroplast genomes of four sister genera (monophyletic Roscoea and Cautleya, and monophyletic Pommereschea and Rhynchanthus) from the Zingiberaceae family with contrasting habitats in southwestern China. These genera exhibit distinct habitats, providing a unique opportunity to explore the adaptive evolution of codon usage. We conducted a comprehensive analysis of nucleotide composition and codon usage on protein-coding genes in the chloroplast genomes. The study focused on understanding the relationship between codon usage and environmental adaptation, with a particular emphasis on genes associated with photosynthesis. Nucleotide composition analysis revealed that the overall G/C content of the coding genes was ˂ 48%, indicating an enrichment of A/T bases. Additionally, synonymous and optimal codons were biased toward ending with A/U bases. Natural selection is the primary factor influencing CUB characteristics, particularly photosynthesis-associated genes. We observed differential gene expressions related to light adaptation among sister genera inhabiting different environments. Certain codons were favored under specific conditions, possibly contributing to gene expression regulation in particular environments. This study provides insights into the adaptive evolution of these sister genera by analyzing CUB and offers theoretical assistance for understanding gene expression and regulation. In addition, the data support the relationship between RNA editing and CUB, and the findings shed light on potential research directions for investigating adaptive evolution.
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Affiliation(s)
- Qian Yang
- Ministry of Education Key Laboratory for Transboundary Ecosecurity of Southwest China, Yunnan Key Laboratory of Plant Reproductive Adaptation and Evolutionary Ecology and Centre for Invasion Biology, Institute of Biodiversity, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, China
| | - Cheng Xin
- School of Life Sciences, Zhengzhou University, Zhengzhou, China
| | - Qing-Song Xiao
- Ministry of Education Key Laboratory for Transboundary Ecosecurity of Southwest China, Yunnan Key Laboratory of Plant Reproductive Adaptation and Evolutionary Ecology and Centre for Invasion Biology, Institute of Biodiversity, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, China
| | - Ya-Ting Lin
- Ministry of Education Key Laboratory for Transboundary Ecosecurity of Southwest China, Yunnan Key Laboratory of Plant Reproductive Adaptation and Evolutionary Ecology and Centre for Invasion Biology, Institute of Biodiversity, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, China
| | - Li Li
- Ministry of Education Key Laboratory for Transboundary Ecosecurity of Southwest China, Yunnan Key Laboratory of Plant Reproductive Adaptation and Evolutionary Ecology and Centre for Invasion Biology, Institute of Biodiversity, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, China
| | - Jian-Li Zhao
- Ministry of Education Key Laboratory for Transboundary Ecosecurity of Southwest China, Yunnan Key Laboratory of Plant Reproductive Adaptation and Evolutionary Ecology and Centre for Invasion Biology, Institute of Biodiversity, School of Ecology and Environmental Science, Yunnan University, Kunming, Yunnan, China
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Xiao Y, Huang H, Chen Y, Zheng S, Chen J, Zou Z, Mehmood N, Ullah I, Liao X, Wang J. Insight on genetic features prevalent in five Ipomoea species using comparative codon pattern analysis reveals differences in major codons and reduced GC content at the 5’ end of CDS. Biochem Biophys Res Commun 2023; 657:92-99. [PMID: 37001285 DOI: 10.1016/j.bbrc.2023.03.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 03/10/2023] [Accepted: 03/10/2023] [Indexed: 03/30/2023]
Abstract
Ipomoea plants possess important commercial, medicinal, and ornamental value. Molecular and morphological studies have confirmed that most species of this genus exhibit similar phenotypes but complex phylogenetic relationships. To date, limited information is available on these evolutionary relationships. In this study, systematic analysis of diverse species from Ipomoea was used to elucidate the relationships in this genus. To this end, we employed the concept of codon usage bias (CUB) to analyze the codon usage bias of five Ipomoea species such as effective number of codons (ENC) and GC content at the third synonym codon position (GC3s). Three types of plots including ENC-GC3s, parity rule 2 (PR2) and neutrality plots were employed to discover the factors determining CUB, and the frequency of hydrogen bonds and nucleotide were calculated to dissect changes in GC content at the 5'-end of the coding sequence. Our results showed little distinctness in CUB among the five species, with a reduction of hydrogen bonds content at the 5'-end (with similar changes in cytosines). In addition, optimal codons of Ipomoea aquatica ended with G or C, different from those of the other four species, which ended in A or T. These results may be useful for exploring the evolutionary relationships among this group, and for understanding the reasons for the variation among Ipomoea species.
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Li Q, Luo Y, Sha A, Xiao W, Xiong Z, Chen X, He J, Peng L, Zou L. Analysis of synonymous codon usage patterns in mitochondrial genomes of nine Amanita species. Front Microbiol 2023; 14:1134228. [PMID: 36970689 PMCID: PMC10030801 DOI: 10.3389/fmicb.2023.1134228] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 02/14/2023] [Indexed: 03/10/2023] Open
Abstract
IntroductionCodon basis is a common and complex natural phenomenon observed in many kinds of organisms.MethodsIn the present study, we analyzed the base bias of 12 mitochondrial core protein-coding genes (PCGs) shared by nine Amanita species.ResultsThe results showed that the codons of all Amanita species tended to end in A/T, demonstrating the preference of mitochondrial codons of Amanita species for a preference for this codon. In addition, we detected the correlation between codon base composition and the codon adaptation index (CAI), codon bias index (CBI), and frequency of optimal codons (FOP) indices, indicating the influence of base composition on codon bias. The average effective number of codons (ENC) of mitochondrial core PCGs of Amanita is 30.81, which is <35, demonstrating the strong codon preference of mitochondrial core PCGs of Amanita. The neutrality plot analysis and PR2-Bias plot analysis further demonstrated that natural selection plays an important role in Amanita codon bias. In addition, we obtained 5–10 optimal codons (ΔRSCU > 0.08 and RSCU > 1) in nine Amanita species, and GCA and AUU were the most widely used optimal codons. Based on the combined mitochondrial sequence and RSCU value, we deduced the genetic relationship between different Amanita species and found large variations between them.DiscussionThis study promoted the understanding of synonymous codon usage characteristics and evolution of this important fungal group.
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Gao M, Huo X, Lu L, Liu M, Zhang G. Analysis of codon usage patterns in Bupleurum falcatum chloroplast genome. CHINESE HERBAL MEDICINES 2023. [DOI: 10.1016/j.chmed.2022.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
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Wang Y, Jiang D, Guo K, Zhao L, Meng F, Xiao J, Niu Y, Sun Y. Comparative analysis of codon usage patterns in chloroplast genomes of ten Epimedium species. BMC Genom Data 2023; 24:3. [PMID: 36624369 PMCID: PMC9830715 DOI: 10.1186/s12863-023-01104-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 01/05/2023] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND The Phenomenon of codon usage bias exists in the genomes of prokaryotes and eukaryotes. The codon usage pattern is affected by environmental factors, base mutation, gene flow and gene expression level, among which natural selection and mutation pressure are the main factors. The study of codon preference is an effective method to analyze the source of evolutionary driving forces in organisms. Epimedium species are perennial herbs with ornamental and medicinal value distributed worldwide. The chloroplast genome is self-replicating and maternally inherited which is usually used to study species evolution, gene expression and genetic transformation. RESULTS The results suggested that chloroplast genomes of Epimedium species preferred to use codons ending with A/U. 17 common high-frequency codons and 2-6 optimal codons were found in the chloroplast genomes of Epimedium species, respectively. According to the ENc-plot, PR2-plot and neutrality-plot, the formation of codon preference in Epimedium was affected by multiple factors, and natural selection was the dominant factor. By comparing the codon usage frequency with 4 common model organisms, it was found that Arabidopsis thaliana, Populus trichocarpa, and Saccharomyces cerevisiae were suitable exogenous expression receptors. CONCLUSION The evolutionary driving force in the chloroplast genomes of 10 Epimedium species probably comes from mutation pressure. Our results provide an important theoretical basis for evolutionary analysis and transgenic research of chloroplast genes.
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Affiliation(s)
- Yingzhe Wang
- grid.449428.70000 0004 1797 7280College of Pharmacy, Jining Medical University, Rizhao, Shandong China ,grid.440665.50000 0004 1757 641XSchool of Pharmaceutical Sciences, Changchun University of Chinese Medicine, Changchun, Jilin China
| | - Dacheng Jiang
- grid.440665.50000 0004 1757 641XSchool of Pharmaceutical Sciences, Changchun University of Chinese Medicine, Changchun, Jilin China
| | - Kun Guo
- grid.440665.50000 0004 1757 641XSchool of Pharmaceutical Sciences, Changchun University of Chinese Medicine, Changchun, Jilin China
| | - Lei Zhao
- grid.440665.50000 0004 1757 641XSchool of Pharmaceutical Sciences, Changchun University of Chinese Medicine, Changchun, Jilin China
| | - Fangfang Meng
- grid.440665.50000 0004 1757 641XSchool of Pharmaceutical Sciences, Changchun University of Chinese Medicine, Changchun, Jilin China
| | - Jinglei Xiao
- grid.440665.50000 0004 1757 641XSchool of Pharmaceutical Sciences, Changchun University of Chinese Medicine, Changchun, Jilin China
| | - Yuan Niu
- Lanzhou Agro-Technical Research and Popularization Center, Lanzhou, Gansu China
| | - Yunlong Sun
- grid.449428.70000 0004 1797 7280College of Pharmacy, Jining Medical University, Rizhao, Shandong China
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Wu P, Xiao W, Luo Y, Xiong Z, Chen X, He J, Sha A, Gui M, Li Q. Comprehensive analysis of codon bias in 13 Ganoderma mitochondrial genomes. Front Microbiol 2023; 14:1170790. [PMID: 37213503 PMCID: PMC10192751 DOI: 10.3389/fmicb.2023.1170790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 04/12/2023] [Indexed: 05/23/2023] Open
Abstract
Introduction Codon usage bias is a prevalent phenomenon observed across various species and genes. However, the specific attributes of codon usage in the mitochondrial genome of Ganoderma species remain unknown. Methods In this study, we investigated the codon bias of 12 mitochondrial core protein-coding genes (PCGs) in 9 Ganoderma species, including 13 Ganoderma strains. Results The codons of all Ganoderma strains showed a preference for ending in A/T. Additionally, correlations between codon base composition and the codon adaptation index (CAI), codon bias index (CBI) and frequency of optimal codons (FOP) were identified, demonstrating the impact of base composition on codon bias. Various base bias indicators were found to vary between or within Ganoderma strains, including GC3s, the CAI, the CBI, and the FOP. The results also revealed that the mitochondrial core PCGs of Ganoderma have an average effective number of codons (ENC) lower than 35, indicating strong bias toward certain codons. Evidence from neutrality plot and PR2-bias plot analysis indicates that natural selection is a major factor affecting codon bias in Ganoderma. Additionally, 11 to 22 optimal codons (ΔRSCU>0.08 and RSCU>1) were identified in 13 Ganoderma strains, with GCA, AUC, and UUC being the most widely used optimal codons in Ganoderma. By analyzing the combined mitochondrial sequences and relative synonymous codon usage (RSCU) values, the genetic relationships between or within Ganoderma strains were determined, indicating variations between them. Nevertheless, RSCU-based analysis illustrated the intra- and interspecies relationships of certain Ganoderma species. Discussion This study deepens our insight into the synonymous codon usage characteristics, genetics, and evolution of this important fungal group.
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Affiliation(s)
- Peng Wu
- Yunnan Plateau Characteristic Agricultural Industry Research Institute, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Wenqi Xiao
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Sichuan Engineering and Technology Research Center of Coarse Cereal Industrialization, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China
| | - Yingyong Luo
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Sichuan Engineering and Technology Research Center of Coarse Cereal Industrialization, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China
| | - Zhuang Xiong
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Sichuan Engineering and Technology Research Center of Coarse Cereal Industrialization, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China
| | - Xiaodie Chen
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Sichuan Engineering and Technology Research Center of Coarse Cereal Industrialization, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China
| | - Jing He
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Sichuan Engineering and Technology Research Center of Coarse Cereal Industrialization, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China
| | - Ajia Sha
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Sichuan Engineering and Technology Research Center of Coarse Cereal Industrialization, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China
| | - Mingying Gui
- Yunnan Plateau Characteristic Agricultural Industry Research Institute, Yunnan Agricultural University, Kunming, Yunnan, China
- *Correspondence: Mingying Gui,
| | - Qiang Li
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Sichuan Engineering and Technology Research Center of Coarse Cereal Industrialization, School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan, China
- Qiang Li,
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Zhou Q, Chen Y, Wang J, Li M, Zeng W, Wang Y, Li Y, Zhao H. A comparative study of the chloroplast genomes of five Lepidium species with high medicinal value. FUNCTIONAL PLANT BIOLOGY : FPB 2023; 50:29-45. [PMID: 36043226 DOI: 10.1071/fp22052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 07/28/2022] [Indexed: 06/15/2023]
Abstract
Plantgenomics is a rapidly developing field in medicinal plant research. This study analysed the relevant information of chloroplasts genome sequences of five medicinal plants from the genus Lepidium . We sequenced the complete chloroplast (cp) genomes of Lepidium apetalum Willd. and Lepidium perfoliatum Linnaeus., and assessed their genetic profiles against the reported profiles of Lepidium sativum Linnaeus., Lepidium meyenii Walp., and Lepidium virginicum Linn. We found that L. apetalum and L. perfoliatum possessed 130 distinct genes that included 85 protein-coding, 37 transfer RNA (tRNA), and eight ribosomal RNA (rRNA) genes. Our repeat analyses revealed that L. apetalum harboured 20 direct repeats, 16 palindrome repeats, 30 tandem repeats, and 87 simple sequence repeats, whereas, L. perfoliatum had 15 direct repeats, 20 palindrome repeats, four reverse repeats, 21 tandem repeats, and 98 simple sequence repeats. Using syntenic analysis, we also revealed a high degree of sequence similarity within the coding regions of Lepidium medicinal plant cp genomes, and a high degree of divergence among the intergenic spacers. Pairwise alignment and single-nucleotide polymorphism (SNP) examinations further revealed certain Lepidium -specific gene fragments. Codon usage analysis showed that codon 14 was the most frequently used codon in the Lepidium coding sequences. Further, correlation investigations suggest that L. apetalum and L. perfoliatum originate from similar genetic backgrounds. Analysis of codon usage bias of Lepidium cp genome was strongly influenced by mutation and natural selection. We showed that L. apetalum and L. perfoliatum will likely enhance breeding, species recognition, phylogenetic evolution, and cp genetic engineering of the Lepidium medicinal plants.
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Affiliation(s)
- Qian Zhou
- Key Laboratory of Biological Resources and Ecology of Pamirs Plateau in Xinjiang Uygur Autonomous Region, College of Life and Geography Sciences, Kashi University, Kashi, China
| | - Yun Chen
- Key Laboratory of Biological Resources and Ecology of Pamirs Plateau in Xinjiang Uygur Autonomous Region, College of Life and Geography Sciences, Kashi University, Kashi, China
| | - Jilian Wang
- Key Laboratory of Biological Resources and Ecology of Pamirs Plateau in Xinjiang Uygur Autonomous Region, College of Life and Geography Sciences, Kashi University, Kashi, China
| | - Mingyuan Li
- Key Laboratory of Biological Resources and Ecology of Pamirs Plateau in Xinjiang Uygur Autonomous Region, College of Life and Geography Sciences, Kashi University, Kashi, China
| | - Weijun Zeng
- Xinjiang Key Laboratory of Special Species Conservation and Regulatory Biology, College of Life Science, Xinjiang Normal University, Urumqi, China
| | - Yuzhou Wang
- Key Laboratory of Biological Resources and Ecology of Pamirs Plateau in Xinjiang Uygur Autonomous Region, College of Life and Geography Sciences, Kashi University, Kashi, China
| | - Yanhong Li
- Xinjiang Key Laboratory of Special Species Conservation and Regulatory Biology, College of Life Science, Xinjiang Normal University, Urumqi, China
| | - Huixin Zhao
- Xinjiang Key Laboratory of Special Species Conservation and Regulatory Biology, College of Life Science, Xinjiang Normal University, Urumqi, China
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Validation of Promoters and Codon Optimization on CRISPR/Cas9-Engineered Jurkat Cells Stably Expressing αRep4E3 for Interfering with HIV-1 Replication. Int J Mol Sci 2022; 23:ijms232315049. [PMID: 36499376 PMCID: PMC9738563 DOI: 10.3390/ijms232315049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 11/15/2022] [Accepted: 11/27/2022] [Indexed: 12/05/2022] Open
Abstract
Persistent and efficient therapeutic protein expression in the specific target cell is a significant concern in gene therapy. The controllable integration site, suitable promoter, and proper codon usage influence the effectiveness of the therapeutic outcome. Previously, we developed a non-immunoglobulin scaffold, alpha repeat protein (αRep4E3), as an HIV-1 RNA packaging interference system in SupT1 cells using the lentiviral gene transfer. Although the success of anti-HIV-1 activity was evidenced, the integration site is uncontrollable and may not be practical for clinical translation. In this study, we use the CRISPR/Cas9 gene editing technology to precisely knock-in αRep4E3 genes into the adeno-associated virus integration site 1 (AAVS1) safe harbor locus of the target cells. We compare the αRep4E3 expression under the regulation of three different promoters, including cytomegalovirus (CMV), human elongation factor-1 alpha (EF1α), and ubiquitin C (UbC) promoters with and without codon optimization in HEK293T cells. The results demonstrated that the EF1α promoter with codon-optimized αRep4E3mCherry showed higher protein expression than other promoters with non-optimized codons. We then performed a proof-of-concept study by knocking in the αRep4E3mCherry gene at the AAVS1 locus of the Jurkat cells. The results showed that the αRep4E3mCherry-expressing Jurkat cells exhibited anti-HIV-1 activities against HIV-1NL4-3 strain as evidenced by decreased capsid (p24) protein levels and viral genome copies as compared to the untransfected Jurkat control cells. Altogether, our study demonstrates that the αRep4E3 could interfere with the viral RNA packaging and suggests that the αRep4E3 scaffold protein could be a promising anti-viral molecule that offers a functional cure for people living with HIV-1.
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Beelagi MS, Kumar SRS, Indrabalan UB, Patil SS, Prasad A, Suresh KP, Kollur SP, Jayappa VS, Kakkalameli SB, Srinivasa C, Venkataravana PA, Shivamallu C. Synonymous codon usage pattern among the S, M, and L segments in Crimean-congo hemorrhagic fever virus. Bioinformation 2021; 17:479-491. [PMID: 34602775 PMCID: PMC8450151 DOI: 10.6026/97320630017479] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 03/31/2021] [Accepted: 04/01/2021] [Indexed: 11/23/2022] Open
Abstract
Crimean-Congo hemorrhagic fever (CCHF) virus is one among the major zoonosis viral diseases that use the Hyalomma ticks as their transmission vector to cause viral infection to the human and mammalian community. The fatality of infectious is high across the world especially in Africa, Asia, Middle East, and Europe. This study regarding codon usage bias of S, M, and L segments of the CCHF virus pertaining to the host Homo sapiens, reveals in-depth information about the evolutionary characteristics of CCHFV. Relative Synonymous Codon Usage (RSCU), Effective number of codons (ENC) were calculated, to determine the codon usage pattern in each segment. Correlation analysis between Codon adaptation index (CAI), GRAVY (Hydrophobicity), AROMO (Aromaticity), and nucleotide composition revealed bias in the codon usage pattern. There was no strong codon bias found among any segments of the CCHF virus, indicating both the factors i.e., natural selection and mutational pressure shapes the codon usage bias.
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Affiliation(s)
- Mallikarjun S Beelagi
- Department of Biotechnology and Bioinformatics, Faculty of Life Sciences, JSS Academy of Higher Education & Research, Mysuru-570015, India
| | - SR Santosh Kumar
- Department of Studies in Food Technology, Shivagangotri, Davangere University, Davangere Karnataka-577 007, India
| | - Uma Bharathi Indrabalan
- ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru-560064, India
| | - Sharanagouda S Patil
- ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru-560064, India
| | - Ashwini Prasad
- Department of Microbiology, Faculty of Life Sciences, JSS Academy of Higher Education & Research, Mysuru-570015, India
| | - KP Suresh
- ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru-560064, India
| | - Shiva Prasad Kollur
- Department of Sciences, Amrita School of Arts and Sciences, Mysuru, Amrita Vishwa Vidyapeetham, Karnataka - 570 026, India
| | - Veeresh Santhebennur Jayappa
- Department of Studies in Environmental Science, Shivagangotri, Davangere University, Davangere Karnataka-577 007, India
| | - Siddappa B Kakkalameli
- Department of Studies in Botany, Davangere University, Shivagangotri, Davangere Karnataka - 577 007, India
| | - Chandrashekar Srinivasa
- Department of Studies in Biotechnology, Davangere University, Shivagangotri, Davangere Karnataka-577 007, India
| | | | - Chandan Shivamallu
- Department of Biotechnology and Bioinformatics, Faculty of Life Sciences, JSS Academy of Higher Education & Research, Mysuru-570015, India
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