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Zeng J, Yang Q, Ran Y, Guo Y, Jiao P, Qiao D, Cao Y, Xu H. Novel extracellular lipase gene Lip1728 influences nutrient-dependent performance bacterial quorum sensing of Burkholderia pyrrocinia WZ10-3. Int J Biol Macromol 2024; 278:134299. [PMID: 39097047 DOI: 10.1016/j.ijbiomac.2024.134299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 07/19/2024] [Accepted: 07/28/2024] [Indexed: 08/05/2024]
Abstract
Quorum sensing (QS) is a cellular communication mechanism in which bacteria secrete and recognize signaling molecules to regulate group behavior. Lipases provide energy for bacterial cell growth but it is unknown whether they influence nutrient-dependent QS by hydrolyzing substrate. A high-yield lipase-producing strain, Burkholderia pyrrocinia WZ10-3, was previously identified in our laboratory, but the composition of its crude enzymes was not elucidated. Here, we identified a key extracellular lipase, Lip1728, in WZ10-3, which accounts for 99 % of the extracellular lipase activity. Lip1728 prefers to hydrolyze triglycerides at sn-1,3 positions, with pNP-C16 being its optimal substrate. Lip1728 exhibited activity at pH 5.0-10.0 and regardless of the presence of metal ions. It had strong resistance to sodium dodecyl sulfate and short-chain alcohols and was activated by phenylmethanesulfonylfluoride (PMSF). Lip1728 knockout significantly affected lipid metabolism and biofilm formation in the presence of olive oil. Finally, oleic acid, a hydrolysate of Lip1728, influenced the production of the signal molecule N-acyl homoserine lactone (AHL) and biofilm formation by downregulating the AHL synthetase gene pyrI. In conclusion, Lip1728, as a key extracellular lipase in B. pyrrocinia WZ10-3, exhibits superior properties that make it suitable for biodiesel production and plays a crucial role in QS.
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Affiliation(s)
- Jie Zeng
- Microbiology and Metabolic Engineering of Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu 610065, PR China
| | - Qingzhuoma Yang
- Microbiology and Metabolic Engineering of Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu 610065, PR China
| | - Yulu Ran
- Microbiology and Metabolic Engineering of Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu 610065, PR China
| | - Yihan Guo
- Microbiology and Metabolic Engineering of Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu 610065, PR China
| | - Pengrui Jiao
- Microbiology and Metabolic Engineering of Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu 610065, PR China
| | - Dairong Qiao
- Microbiology and Metabolic Engineering of Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu 610065, PR China
| | - Yi Cao
- Microbiology and Metabolic Engineering of Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu 610065, PR China.
| | - Hui Xu
- Microbiology and Metabolic Engineering of Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu 610065, PR China.
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Wu XL, Liu XW, Wang Y, Guo MY, Ye JR. Optimization of Constitutive Promoters Using a Promoter-Trapping Vector in Burkholderia pyrrocinia JK-SH007. Int J Mol Sci 2023; 24:ijms24119419. [PMID: 37298372 DOI: 10.3390/ijms24119419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 05/16/2023] [Accepted: 05/25/2023] [Indexed: 06/12/2023] Open
Abstract
Selecting suitable promoters to drive gene overexpression can provide significant insight into the development of engineered bacteria. In this study, we analyzed the transcriptome data of Burkholderia pyrrocinia JK-SH007 and identified 54 highly expressed genes. The promoter sequences were located using genome-wide data and scored using the prokaryotic promoter prediction software BPROM to further screen out 18 promoter sequences. We also developed a promoter trap system based on two reporter proteins adapted for promoter optimization in B. pyrrocinia JK-SH007: firefly luciferase encoded by the luciferase gene set (Luc) and trimethoprim (TP)-resistant dihydrofolate reductase (TPr). Ultimately, eight constitutive promoters were successfully inserted into the probe vector and transformed into B. pyrrocinia JK-SH007. The transformants were successfully grown on Tp antibiotic plates, and firefly luciferase expression was determined by measuring the relative light unit (RLU). Five of the promoters (P4, P9, P10, P14, and P19) showed 1.01-2.51-fold higher activity than the control promoter λ phage transcriptional promoter (PRPL). The promoter activity was further validated via qPCR analysis, indicating that promoters P14 and P19 showed stable high transcription levels at all time points. Then, GFP and RFP proteins were overexpressed in JK-SH007. In addition, promoters P14 and P19 were successfully used to drive gene expression in Burkholderia multivorans WS-FJ9 and Escherichia coli S17-1. The two constitutive promoters can be used not only in B. pyrrocinia JK-SH007 itself to gene overexpression but also to expand the scope of application.
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Affiliation(s)
- Xue-Lian Wu
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing 210037, China
- Jiangsu Key Laboratory for Prevention and Management of Invasive Species, Nanjing Forestry University, Nanjing 210037, China
| | - Xiao-Wei Liu
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing 210037, China
- Jiangsu Key Laboratory for Prevention and Management of Invasive Species, Nanjing Forestry University, Nanjing 210037, China
| | - Yang Wang
- Institute of Forest Pest Control, Jiangxi Academy of Forestry, Nanchang 330032, China
| | - Meng-Yun Guo
- Key Laboratory for Bio-Resources and Eco-Environment of Ministry of Education, College of Life Science, Sichuan University, Chengdu 610065, China
| | - Jian-Ren Ye
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing 210037, China
- Jiangsu Key Laboratory for Prevention and Management of Invasive Species, Nanjing Forestry University, Nanjing 210037, China
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Chen C, Zhu H, Li SY, Han YY, Chen L, Fan BQ, Zhang YF, Wang Y, Hao DJ. Insights into chemosensory genes of Pagiophloeus tsushimanus adults using transcriptome and qRT-PCR analysis. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY D-GENOMICS & PROTEOMICS 2021; 37:100785. [PMID: 33548831 DOI: 10.1016/j.cbd.2020.100785] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Revised: 12/15/2020] [Accepted: 12/16/2020] [Indexed: 11/18/2022]
Abstract
Pagiophloeus tsushimanus is a new, destructive, and monophagous weevil pest that thrives on Cinnamomum camphora, found in Shanghai. The functions of chemosensory genes involved in the host location and intraspecific communication of P. tsushimanus remain unknown. The male-female transcriptomes of P. tsushimanus adults were assembled using Illumina sequencing, and we focused on all chemosensory genes in transcriptomes. In general, 58,088 unigenes with a mean length of 1018.19 bp were obtained. In total, 39 odorant binding proteins (OBPs), 10 chemosensory proteins (CSPs), 22 olfactory receptors (ORs), 16 gustatory receptors (GRs), eight ionotropic receptors (IRs), and five sensory neuron membrane proteins (SNMPs) were identified. PtsuOBPs comprised four subfamilies (20 Minus-C, one Plus-C, two Dimer, and 15 Classic). Both PtsuOBPs and PtsuCSPs contained a highly conserved sequence motif of cysteine residues. PtsuORs including one olfactory receptor co-receptors (Ptsu/Orco) comprised seven predicted transmembrane domains. Phylogenetic analysis revealed that PtsuOBPs, PtsuCSPs, and PtsuORs in P. tsushimanus exhibited low homology compared to other insect species. The results of tissue- and sex-specific expression patterns indicated that PtsuOBPs and PtsuORs were highly abundant in the antennae; whereas, PtsuCSPs were not only highly abundant in antennae, but also abdominal apexes, wings, and legs. In conclusion, these results enrich the gene database of P. tsushimanus, which may serve as a basis for identifying novel targets to disrupt olfactory key genes and may provide a reverse validation method to identify attractants for formulating potential eco-friendly control strategies for this pest.
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Affiliation(s)
- Cong Chen
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu, China; College of Forestry, Nanjing Forestry University, Nanjing, Jiangsu, China
| | - Han Zhu
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu, China; College of Forestry, Nanjing Forestry University, Nanjing, Jiangsu, China
| | - Shou-Yin Li
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu, China; College of Forestry, Nanjing Forestry University, Nanjing, Jiangsu, China
| | | | - Liang Chen
- Shanghai Kaisheng Landscape Engineering Co., Ltd, Shanghai, China
| | - Bin-Qi Fan
- Forest Station of Shanghai, Shanghai, China
| | | | - Yan Wang
- Forest Station of Shanghai, Shanghai, China
| | - De-Jun Hao
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu, China; College of Forestry, Nanjing Forestry University, Nanjing, Jiangsu, China.
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Xiong ZQ, Fan YZ, Song X, Xia YJ, Zhang H, Ai LZ. Short communication: Genome-wide identification of new reference genes for reverse-transcription quantitative PCR in Streptococcus thermophilus based on RNA-sequencing analysis. J Dairy Sci 2020; 103:10001-10005. [PMID: 32896392 DOI: 10.3168/jds.2020-18672] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 06/22/2020] [Indexed: 01/12/2023]
Abstract
Streptococcus thermophilus, one of the most important industrial lactic acid bacteria, is widely used for the production of fermented dairy products such as yogurt and cheese. The accuracy of gene expression-based analyses (e.g., reverse-transcription quantitative real-time PCR) relies heavily on the selection of reliable reference genes (RG), which provides the basis for correctly interpreting expression data. However, many traditional RG are not stably expressed in different systems. Here we used RNA-sequencing to systematically investigate gene expression variation at the genome scale and identify more stable RG in S. thermophilus. In total, 21 putative candidate RG were identified with variation coefficient values <10.0 based on the expression of all 1,911 genes under 4 different experimental conditions. We selected and validated 12 RG chosen from transcriptomes by using reverse-transcription quantitative real-time PCR, and ranked their expression stability by statistical algorithms geNorm and NormFinder. Compared with traditional RG 16S rRNA, genes encoding glycine-tRNA ligase subunit β GlyS and fatty acid-binding protein DegV were more stable under all 4 treatments, which have never been used as RG in S. thermophilus. Our finding provides the foundation for more precise analysis of gene expression in S. thermophilus and other lactic acid bacteria species.
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Affiliation(s)
- Zhi-Qiang Xiong
- Shanghai Engineering Research Center of Food Microbiology, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Yi-Zhou Fan
- Shanghai Engineering Research Center of Food Microbiology, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Xin Song
- Shanghai Engineering Research Center of Food Microbiology, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Yong-Jun Xia
- Shanghai Engineering Research Center of Food Microbiology, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Hui Zhang
- Shanghai Engineering Research Center of Food Microbiology, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Lian-Zhong Ai
- Shanghai Engineering Research Center of Food Microbiology, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
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mRNA extraction of Xanthomonas fragariae in strawberry and validation of reference genes for the RT-qPCR for study of bacterial gene expression. Mol Biol Rep 2019; 46:5723-5733. [PMID: 31368022 DOI: 10.1007/s11033-019-05006-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Accepted: 07/26/2019] [Indexed: 01/11/2023]
Abstract
This is the first study which describes a unique procedure of isolating of high-quality, intact RNA from strawberry leaves of Xanthomonas fragariae, three most suitable reference genes, crucial for the normalization of RT-qPCR data for this pathogen and accurate expression analysis of target genes. In our study, various mathematic algorithms: NormFinder geNorm, BestKeeper, the delta CT method, RefFinder were adopted for validation of most stable reference genes from nine candidate genes (ffh, glyA, gyrA, gyrB, proC, pykA, recA, rpoB, rpoD). The analyses allowing to select three most suitable pioneer reference genes, gyrB, ffh, and pykA, that we recommend for the normalization of RT-qPCR data and for the study of the expression of target genes in Xf. Moreover, their combination as references allowed for an accurate expression analysis and computation of the fold change of the flhF and iroN2 genes in Xf. These two genes are important for the success of the colonization of plant tissue and pathogenicity and sequences of primers designed to study these genes, are presented.
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Selection of Optimized Reference Genes for qRT-PCR Normalization in Xanthomonas campestris pv. campestris Cultured in Different Media. Curr Microbiol 2019; 76:613-619. [PMID: 30863882 DOI: 10.1007/s00284-019-01667-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2018] [Accepted: 03/02/2019] [Indexed: 12/13/2022]
Abstract
Black rot is a cruciferous disease caused by Xanthomonas campestris pv. campestris (Xcc) and results in significant economic losses worldwide; therefore, elucidation of the mechanism of Xcc pathogenesis is urgently required. In this study, we aimed to select optimized reference genes to verify the relative quantification of virulent genes in Xcc. Xcc strains were cultured in three different media [basic medium (MMX), hrp-inducing medium (MMXC) and rich medium (NYG)] and the expression stability of five candidate genes [thymidylate synthase (thyA), DNA gyrase subunit B (gyrB), DNA-directed RNA polymerase subunit beta, glyceraldehyde-3-phosphate dehydrogenase and 16S ribosomal RNA (16S rRNA)] was evaluated using BestKeeper, GeNorm, and NormFinder software programs. Quantitative real-time PCR (qRT-PCR) analysis confirmed that two Xcc effector genes were hrpX/hrpG-regulated in MMXC using selected genes as controls. Finally, gyrB and thyA were validated as the optimized reference genes of Xcc cultured in MMXC, and qRT-PCR analysis was demonstrated to be an efficient alternative to Gus-activity detection for the analysis of Xcc expression. This information will be useful in the future studies of Xcc, especially those seeking new functional genes.
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Li C, Zhao H, Li M, Yao P, Li Q, Zhao X, Wang A, Chen H, Tang Z, Bu T, Wu Q. Validation of reference genes for gene expression studies in tartary buckwheat ( Fagopyrum tataricum Gaertn.) using quantitative real-time PCR. PeerJ 2019; 7:e6522. [PMID: 30834187 PMCID: PMC6396815 DOI: 10.7717/peerj.6522] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Accepted: 01/27/2019] [Indexed: 01/01/2023] Open
Abstract
Quantitative real-time reverse transcriptase polymerase chain reaction is a sensitive technique for quantifying gene expression levels. By implementing three distinct algorithms (geNorm, normFinder and BestKeeper), we have validated the stability of the expression of seven candidate reference genes in tartary buckwheat, including FtSAND, FtCACS, FtExpressed1, FtGAPDH, FtActin, FtEF-1a and FtH3. In this study, the results indicated that FtCACS and FtSAND were the best reference genes for 'abiotic cotyledons', FtExpressed1 and FtEF-1α were the best reference genes for aluminium treatment, FtCACS and FtExpressed1 performed the best for the immature seed stage, FtCACS was best for the abiotic treatment, and FtH3 appeared to be the most suitable reference gene for the abiotic treatment in hypocotyls and all samples in this study. In contrast, FtActin and FtGAPDH are unsuitable genes. Our findings offer additional stable reference genes for gene expression research on tartary buckwheat at the immature seed stage and under abiotic treatment.
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Affiliation(s)
- Chenglei Li
- College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan, China
| | - Haixia Zhao
- College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan, China
| | - Maofei Li
- College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan, China
| | - Panfeng Yao
- College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan, China
| | - Qingqing Li
- College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan, China
| | - Xuerong Zhao
- College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan, China
| | - Anhu Wang
- Xichang College, Xichang, Sichuan, China
| | - Hui Chen
- College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan, China
| | - Zizhong Tang
- College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan, China
| | - Tongliang Bu
- College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan, China
| | - Qi Wu
- College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan, China
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Validation of optimal reference genes for quantitative real time PCR in muscle and adipose tissue for obesity and diabetes research. Sci Rep 2017; 7:3612. [PMID: 28620170 PMCID: PMC5472619 DOI: 10.1038/s41598-017-03730-9] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Accepted: 05/02/2017] [Indexed: 12/11/2022] Open
Abstract
The global incidence of obesity has led to an increasing need for understanding the molecular mechanisms that drive this epidemic and its comorbidities. Quantitative real-time RT-PCR (RT-qPCR) is the most reliable and widely used method for gene expression analysis. The selection of suitable reference genes (RGs) is critical for obtaining accurate gene expression information. The current study aimed to identify optimal RGs to perform quantitative transcriptomic analysis based on RT-qPCR for obesity and diabetes research, employing in vitro and mouse models, and human tissue samples. Using the ReFinder program we evaluated the stability of a total of 15 RGs. The impact of choosing the most suitable RGs versus less suitable RGs on RT-qPCR results was assessed. Optimal RGs differed between tissue and cell type, species, and experimental conditions. By employing different sets of RGs to normalize the mRNA expression of peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC1α), we show that sub-optimal RGs can markedly alter the PGC1α gene expression profile. Our study demonstrates the importance of validating RGs prior to normalizing transcriptional expression levels of target genes and identifies optimal RG pairs for reliable RT-qPCR normalization in cells and in human and murine muscle and adipose tissue for obesity/diabetes research.
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