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Dong Y, Miao R, Feng R, Wang T, Yan J, Zhao X, Han X, Gan Y, Lin J, Li Y, Gan B, Zhao J. Edible and medicinal fungi breeding techniques, a review: Current status and future prospects. Curr Res Food Sci 2022; 5:2070-2080. [PMID: 36387595 PMCID: PMC9640942 DOI: 10.1016/j.crfs.2022.09.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 08/31/2022] [Accepted: 09/02/2022] [Indexed: 11/06/2022] Open
Abstract
Mushrooms of the edible and medicinal which are highly nutritious and environmentally friendly crops carry numerous medicinal benefits. For the abundant and high diversity of bioactive metabolites they possess, which are considered to be an important pool of bioresources. The efficient breeding technique is always a challenging task in mushrooms for obtaining better character strains, which are essential for developing healthy products and even consumption. This review comprehensively summarizes the breeding techniques applied to the edible and medicinal mushrooms. Including the traditional mutagenesis method, and even modern gene-editing breeding techniques, the effects of each method, and the comparison of each breeding technique are systematic illustrations. Strategies for mushroom breeding techniques in the future are also discussed in this review paper. With the ongoing sequencing of the mushroom genome, knowledge of the gene background of the strains and functions can be available for developing better markers for gene-editing breeding as CRISPR/Cas9 systems. Combine the metabolism engineering and in-silico tools analysis was the rational design of the novel strains. Modern physical mutagenesis techniques such as the ARTP and the combination of the other physical, and chemical breeding mutagens with cross-breeding techniques or the protoplasts fusion will also lead to superior strains for cultivation and pave the way for higher quality and yield.
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Affiliation(s)
- Yating Dong
- Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, National Agricultural Science & Technology Center (NASC), 9 Hupan West Road, Tianfu New Area, Chengdu, 610000, China
| | - Renyun Miao
- Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, National Agricultural Science & Technology Center (NASC), 9 Hupan West Road, Tianfu New Area, Chengdu, 610000, China
| | - Rencai Feng
- Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, National Agricultural Science & Technology Center (NASC), 9 Hupan West Road, Tianfu New Area, Chengdu, 610000, China
| | - Tao Wang
- Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, National Agricultural Science & Technology Center (NASC), 9 Hupan West Road, Tianfu New Area, Chengdu, 610000, China
| | - Junjie Yan
- Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, National Agricultural Science & Technology Center (NASC), 9 Hupan West Road, Tianfu New Area, Chengdu, 610000, China
| | - Xu Zhao
- Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, National Agricultural Science & Technology Center (NASC), 9 Hupan West Road, Tianfu New Area, Chengdu, 610000, China
- Gansu Academy of Agricultural Engineering Technology, 234 Xinzhen Road, Huangyang Town, Liangzhou District, Wuwei City, Gansu Province, 733006, China
| | - Xing Han
- Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, National Agricultural Science & Technology Center (NASC), 9 Hupan West Road, Tianfu New Area, Chengdu, 610000, China
| | - Ying Gan
- Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, National Agricultural Science & Technology Center (NASC), 9 Hupan West Road, Tianfu New Area, Chengdu, 610000, China
| | - Junbin Lin
- Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, National Agricultural Science & Technology Center (NASC), 9 Hupan West Road, Tianfu New Area, Chengdu, 610000, China
| | - Yujia Li
- Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, National Agricultural Science & Technology Center (NASC), 9 Hupan West Road, Tianfu New Area, Chengdu, 610000, China
| | - Bingcheng Gan
- Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, National Agricultural Science & Technology Center (NASC), 9 Hupan West Road, Tianfu New Area, Chengdu, 610000, China
| | - Jin Zhao
- Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, National Agricultural Science & Technology Center (NASC), 9 Hupan West Road, Tianfu New Area, Chengdu, 610000, China
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Genomics and Proteomics of Foodborne Microorganisms. Food Microbiol 2014. [DOI: 10.1128/9781555818463.ch39] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Jackson SA, Patel IR, Barnaba T, LeClerc JE, Cebula TA. Investigating the global genomic diversity of Escherichia coli using a multi-genome DNA microarray platform with novel gene prediction strategies. BMC Genomics 2011; 12:349. [PMID: 21733163 PMCID: PMC3146454 DOI: 10.1186/1471-2164-12-349] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2010] [Accepted: 07/06/2011] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND The gene content of a diverse group of 183 unique Escherichia coli and Shigella isolates was determined using the Affymetrix GeneChip® E. coli Genome 2.0 Array, originally designed for transcriptome analysis, as a genotyping tool. The probe set design utilized by this array provided the opportunity to determine the gene content of each strain very accurately and reliably. This array constitutes 10,112 independent genes representing four individual E. coli genomes, therefore providing the ability to survey genes of several different pathogen types. The entire ECOR collection, 80 EHEC-like isolates, and a diverse set of isolates from our FDA strain repository were included in our analysis. RESULTS From this study we were able to define sets of genes that correspond to, and therefore define, the EHEC pathogen type. Furthermore, our sampling of 63 unique strains of O157:H7 showed the ability of this array to discriminate between closely related strains. We found that individual strains of O157:H7 differed, on average, by 197 probe sets. Finally, we describe an analysis method that utilizes the power of the probe sets to determine accurately the presence/absence of each gene represented on this array. CONCLUSIONS These elements provide insights into understanding the microbial diversity that exists within extant E. coli populations. Moreover, these data demonstrate that this novel microarray-based analysis is a powerful tool in the field of molecular epidemiology and the newly emerging field of microbial forensics.
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Affiliation(s)
- Scott A Jackson
- Division of Molecular Biology, Office of Applied Research and Safety Assessment, Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, Maryland 20708, USA
| | - Isha R Patel
- Division of Molecular Biology, Office of Applied Research and Safety Assessment, Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, Maryland 20708, USA
| | - Tammy Barnaba
- Division of Molecular Biology, Office of Applied Research and Safety Assessment, Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, Maryland 20708, USA
| | - Joseph E LeClerc
- Division of Molecular Biology, Office of Applied Research and Safety Assessment, Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, Maryland 20708, USA
| | - Thomas A Cebula
- Department of Biology, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD 21218, USA
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Pandya GA, Holmes MH, Petersen JM, Pradhan S, Karamycheva SA, Wolcott MJ, Molins C, Jones M, Schriefer ME, Fleischmann RD, Peterson SN. Whole genome single nucleotide polymorphism based phylogeny of Francisella tularensis and its application to the development of a strain typing assay. BMC Microbiol 2009; 9:213. [PMID: 19811647 PMCID: PMC2767358 DOI: 10.1186/1471-2180-9-213] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2009] [Accepted: 10/07/2009] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND A low genetic diversity in Francisella tularensis has been documented. Current DNA based genotyping methods for typing F. tularensis offer a limited and varying degree of subspecies, clade and strain level discrimination power. Whole genome sequencing is the most accurate and reliable method to identify, type and determine phylogenetic relationships among strains of a species. However, lower cost typing schemes are necessary in order to enable typing of hundreds or even thousands of isolates. RESULTS We have generated a high-resolution phylogenetic tree from 40 Francisella isolates, including 13 F. tularensis subspecies holarctica (type B) strains, 26 F. tularensis subsp. tularensis (type A) strains and a single F. novicida strain. The tree was generated from global multi-strain single nucleotide polymorphism (SNP) data collected using a set of six Affymetrix GeneChip resequencing arrays with the non-repetitive portion of LVS (type B) as the reference sequence complemented with unique sequences of SCHU S4 (type A). Global SNP based phylogenetic clustering was able to resolve all non-related strains. The phylogenetic tree was used to guide the selection of informative SNPs specific to major nodes in the tree for development of a genotyping assay for identification of F. tularensis subspecies and clades. We designed and validated an assay that uses these SNPs to accurately genotype 39 additional F. tularensis strains as type A (A1, A2, A1a or A1b) or type B (B1 or B2). CONCLUSION Whole-genome SNP based clustering was shown to accurately identify SNPs for differentiation of F. tularensis subspecies and clades, emphasizing the potential power and utility of this methodology for selecting SNPs for typing of F. tularensis to the strain level. Additionally, whole genome sequence based SNP information gained from a representative population of strains may be used to perform evolutionary or phylogenetic comparisons of strains, or selection of unique strains for whole-genome sequencing projects.
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Affiliation(s)
- Gagan A Pandya
- Pathogen Functional Genomics Resource Center, J. Craig Venter Institute, Rockville, MD 20850, USA.
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Effect of dehydrated storage on the survival of Francisella tularensis in infant formula. Food Microbiol 2009; 26:932-5. [PMID: 19835784 DOI: 10.1016/j.fm.2009.06.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2009] [Revised: 06/03/2009] [Accepted: 06/05/2009] [Indexed: 11/23/2022]
Abstract
Francisella tularensis is a Gram-negative bacterium that can cause gastrointestinal or oropharyngeal tularemia in humans from ingestion of contaminated food or water. Despite the potential for accidental or intentional contamination of foods with F. tularensis, there are few studies on the long-term survivability of this organism in food matrices. Infant formula has previously been implicated as a vehicle for the transmission of a variety of bacterial pathogens in infants. In this study, we investigated the survival of F. tularensis in dehydrated infant formula under various storage conditions. F. tularensis was stored for up to 12 weeks in dehydrated infant formula in an ambient air, dry or nitrogen atmosphere. Viable counts of fresh F. tularensis at 12 weeks in infant formula revealed a 4.15, 3.37 and 3.72-log decrease in ambient air, dry and nitrogen atmosphere, respectively. D-values were calculated (in weeks) as 3.99, 4.68 and 4.47 in air, dry and nitrogen atmosphere, respectively.
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Day JB, Whiting RC. Development of a macrophage cell culture method to isolate and enrich Francisella tularensis from food matrices for subsequent detection by real-time PCR. J Food Prot 2009; 72:1156-64. [PMID: 19610325 DOI: 10.4315/0362-028x-72.6.1156] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Francisella tularensis is a gram-negative bacterium that can cause gastrointestinal or oropharyngeal tularemia in humans from ingestion of contaminated food or water. Despite the potential for accidental or intentional contamination of foods with F. tularensis, there are no techniques currently available to detect this organism in specific food matrices. In this study, a macrophage cell culture system is combined with real-time PCR to identify F. tularensis in food matrices. The method utilizes a mouse macrophage cell line (RAW 264.7) as host for the isolation and intracellular replication of F. tularensis. Exposure of macrophages to F. tularensis-contaminated food matrices results in uptake and intracellular replication of the bacteria, which can be subsequently detected by real-time PCR analysis of the DNA released from infected macrophage cell lysates. Macrophage monolayers were exposed to infant formula, liquid egg whites, and lettuce contaminated with varying quantities of F. tularensis. As few as 10 CFU/ml (or CFU per gram) F. tularensis was detected in infant formula and lettuce after 5 h postinfection. As few as 10 CFU/ml F. tularensis was detected in liquid egg whites after 18 h postinfection. Intracellular F. tularensis could also be isolated on Mueller-Hinton medium from lysates of macrophages infected with the bacteria in infant formula, liquid egg whites, and lettuce for subsequent confirmatory identification. This method is the first to successfully identify F. tularensis from select food matrices.
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Affiliation(s)
- J B Day
- U.S. Food and Drug Administration, Center for Food Safety and Applied Nutrition, HFS-712, 5100 Paint Branch Parkway, College Park, Maryland 20740, USA.
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A precise reconstruction of the emergence and constrained radiations of Escherichia coli O157 portrayed by backbone concatenomic analysis. Proc Natl Acad Sci U S A 2009; 106:8713-8. [PMID: 19439656 DOI: 10.1073/pnas.0812949106] [Citation(s) in RCA: 108] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Single nucleotide polymorphisms (SNPs) in stable genome regions provide durable measurements of species evolution. We systematically identified each SNP in concatenations of all backbone ORFs in 7 newly or previously sequenced evolutionarily instructive pathogenic Escherichia coli O157:H7, O157:H(-), and O55:H7. The 1,113 synonymous SNPs demonstrate emergence of the largest cluster of this pathogen only in the last millennium. Unexpectedly, shared SNPs within circumscribed clusters of organisms suggest severely restricted survival and limited effective population sizes of pathogenic O157:H7, tenuous survival of these organisms in nature, source-sink evolutionary dynamics, or, possibly, a limited number of mutations that confer selective advantage. A single large segment spanning the rfb-gnd gene cluster is the only backbone region convincingly acquired by recombination as O157 emerged from O55. This concatenomic analysis also supports using SNPs to differentiate closely related pathogens for infection control and forensic purposes. However, constrained radiations raise the possibility of making false associations between isolates.
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Hyytiä-Trees EK, Cooper K, Ribot EM, Gerner-Smidt P. Recent developments and future prospects in subtyping of foodborne bacterial pathogens. Future Microbiol 2007; 2:175-85. [PMID: 17661654 DOI: 10.2217/17460913.2.2.175] [Citation(s) in RCA: 61] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Infections caused by foodborne bacterial pathogens continue to be a major public health issue around the world. During the past decade, pulsed-field gel electrophoresis (PFGE) has become the gold standard for molecular subtyping and source tracking of most foodborne bacteria. Owing to problems inherent in PFGE technology, new methods have been developed focusing on DNA sequence-based subtyping. This review discusses the feasibility of using multilocus sequence typing, multiple-locus variable-number tandem repeat analysis, single nucleotide polymorphisms, microarrays, whole genome sequencing and mass spectrometry for subtyping foodborne bacterial pathogens.
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Foley SL, Zhao S, Walker RD. Comparison of molecular typing methods for the differentiation of Salmonella foodborne pathogens. Foodborne Pathog Dis 2007; 4:253-76. [PMID: 17883310 DOI: 10.1089/fpd.2007.0085] [Citation(s) in RCA: 60] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Bacteria belonging to the genus Salmonella are among the leading causes of foodborne disease of bacterial etiology. These bacteria are also widely disseminated throughout the animal kingdom. The ability to identify the food source from which a human pathogen originated would be of great value in reducing the incidence of foodborne disease and the extent of disease outbreaks due to Salmonella. To date, efforts to identify the origin of these pathogens have centered on phenotypic and genotypic characterization of Salmonella isolates. This review focuses molecular or genotypic techniques that are currently being used for typing, and examines their strengths and weaknesses for determining the source of Salmonella foodborne infections.
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Affiliation(s)
- Steven L Foley
- National Farm Medicine Center, Marshfield Clinic Research Foundation, Marshfield, Wisconsin 54449, USA.
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Pandya GA, Holmes MH, Sunkara S, Sparks A, Bai Y, Verratti K, Saeed K, Venepally P, Jarrahi B, Fleischmann RD, Peterson SN. A bioinformatic filter for improved base-call accuracy and polymorphism detection using the Affymetrix GeneChip whole-genome resequencing platform. Nucleic Acids Res 2007; 35:e148. [PMID: 18006572 PMCID: PMC2175352 DOI: 10.1093/nar/gkm918] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
DNA resequencing arrays enable rapid acquisition of high-quality sequence data. This technology represents a promising platform for rapid high-resolution genotyping of microorganisms. Traditional array-based resequencing methods have relied on the use of specific PCR-amplified fragments from the query samples as hybridization targets. While this specificity in the target DNA population reduces the potential for artifacts caused by cross-hybridization, the subsampling of the query genome limits the sequence coverage that can be obtained and therefore reduces the technique's resolution as a genotyping method. We have developed and validated an Affymetrix Inc. GeneChip® array-based, whole-genome resequencing platform for Francisella tularensis, the causative agent of tularemia. A set of bioinformatic filters that targeted systematic base-calling errors caused by cross-hybridization between the whole-genome sample and the array probes and by deletions in the sample DNA relative to the chip reference sequence were developed. Our approach eliminated 91% of the false-positive single-nucleotide polymorphism calls identified in the SCHU S4 query sample, at the cost of 10.7% of the true positives, yielding a total base-calling accuracy of 99.992%.
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Affiliation(s)
- Gagan A Pandya
- Pathogen Functional Genomics Resource Center, The Institute for Genomic Research at the J. Craig Venter Institute, Rockville, MD 20850, USA
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Procop GW. Molecular diagnostics for the detection and characterization of microbial pathogens. Clin Infect Dis 2007; 45 Suppl 2:S99-S111. [PMID: 17683022 DOI: 10.1086/519259] [Citation(s) in RCA: 81] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
New and advanced methods of molecular diagnostics are changing the way we practice clinical microbiology, which affects the practice of medicine. Signal amplification and real-time nucleic acid amplification technologies offer a sensitive and specific result with a more rapid turnaround time than has ever before been possible. Numerous methods of postamplification analysis afford the simultaneous detection and differentiation of numerous microbial pathogens, their mechanisms of resistance, and the construction of disease-specific assays. The technical feasibility of these assays has already been demonstrated. How these new, often more expensive tests will be incorporated into routine practice and the impact they will have on patient care remain to be determined. One of the most attractive uses for such techniques is to achieve a more rapid characterization of the infectious agent so that a narrower-spectrum antimicrobial agent may be used, which should have an impact on resistance patterns.
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Affiliation(s)
- Gary W Procop
- Department of Pathology, Jackson Memorial Hospital and University of Miami Miller School of Medicine, Miami, Florida 33136, USA.
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Abstract
The medical response to a mass casualty further complicates the hectic environment that follows a terrorist event. In addition to providing treatment, medical professionals may discover items or persons of interest to the pending investigation and should be aware of how to handle these situations appropriately. Examples of case law are provided to illustrate how practitioners' actions could help or hinder prosecution. The traditional forensic role of dental professionals is identifying victims through dental records. In this article, the dental professional is considered a member of a disaster response team, and the differences in responsibilities are highlighted.
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Affiliation(s)
- Melissa Naiman
- Disaster Emergency Medicine Readiness Training Center, College of Dentistry, University of Illinois at Chicago, Chicago, IL 60622, USA.
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Ward K. Microarray technology in obstetrics and gynecology: a guide for clinicians. Am J Obstet Gynecol 2006; 195:364-72. [PMID: 16615920 PMCID: PMC7093878 DOI: 10.1016/j.ajog.2005.12.014] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2005] [Revised: 11/29/2005] [Accepted: 12/05/2005] [Indexed: 11/28/2022]
Abstract
Microarrays can be constructed with dozens to millions of probes on their surface to allow high-throughput analyses of many biologic processes to be performed simultaneously on the same sample. Microarrays are now widely used for gene expression analysis, deoxyribonucleic acid resequencing, single-nucleotide polymorphism genotyping, and comparative genomic hybridization. Microarray technology is accelerating research in many fields and now microarrays are moving into clinical application. This review discusses the emerging role of microarrays in molecular diagnostics, pathogen detection, oncology, and pharmacogenomics.
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Affiliation(s)
- Kenneth Ward
- Department of Obstetrics and Gynecology and Women's Health and the Pacific Research Center for Early Human Development, University of Hawaii, John A. Burns School of Medicine, Honolulu, HI 96826, USA.
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