LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 216

Search options

  1. Article: Detection of Enteric Viruses and Core Microbiome Analysis in Artisanal Colonial Salami-Type Dry-Fermented Sausages from Santa Catarina, Brazil.

    Degenhardt, Roberto / Sobral Marques Souza, Doris / Acordi Menezes, Leidiane A / de Melo Pereira, Gilberto Vinícius / Rodríguez-Lázaro, David / Fongaro, Gislaine / De Dea Lindner, Juliano

    Foods (Basel, Switzerland)

    2021  Volume 10, Issue 8

    Abstract: ... communities, in artisanal Colonial salami-type dry-fermented sausages in Santa Catarina state, Brazil ...

    Abstract Microbial fermentation plays an important role in the manufacturing of artisanal sausages and can have major effects on product quality and safety. We used metagenomics and culture-dependent methods to study the presence of Hepatitis E virus (HEV) and Rotavirus-A (RV-A), and fungal and bacterial communities, in artisanal Colonial salami-type dry-fermented sausages in Santa Catarina state, Brazil. Lactic acid bacteria (LAB) and yeast dominated the microbiome.
    Language English
    Publishing date 2021-08-22
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704223-6
    ISSN 2304-8158
    ISSN 2304-8158
    DOI 10.3390/foods10081957
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article: Evaluation of different food attractants for capture of Lonchaeidae (Diptera: Tephritoidea) in passion fruit orchard in southern Santa Catarina state, Brazil

    Harter-Marques, Birgit / de Freitas Michels, Victor / Pereira, Betina Emerick / De Lorenzi, Erica Frazão Pereira

    International journal of tropical insect science. 2021 June, v. 41, no. 2

    2021  

    Abstract: Brazil is the world’s largest producer and consumer of yellow passion fruit, Passiflora edulis Sims (Passifloraceae). Among the insects identified as pests associated with passion fruit, Lonchaeidae flies are of great economic importance because they ... ...

    Abstract Brazil is the world’s largest producer and consumer of yellow passion fruit, Passiflora edulis Sims (Passifloraceae). Among the insects identified as pests associated with passion fruit, Lonchaeidae flies are of great economic importance because they damage floral buds, thereby affecting fruit development and causing production losses. However, there is no recommended monitoring system that uses traps and attractants. Thus, this study, conducted in a commercial crop, aimed to evaluate the efficiency of different food attractants in McPhail traps in the capture of Lonchaeidae to promote integrated management programs for these flies. The results showed that the attractants torula yeast (Candida utilis) and hydrolyzed protein of animal origin (Cera Trap®) were the most efficient in the capture of Lonchaeidae flies. From an economic point of view, the use of torula yeast would be recommended since this product is cheaper to purchase. This is the first study to determine the efficiency of Cera Trap® in the capture of lonchaeids in passion fruit orchards.
    Keywords Candida utilis ; Lonchaeidae ; Passiflora edulis f. flavicarpa ; animals ; attractants ; fruiting ; insects ; orchards ; passion fruits ; protein hydrolysates ; yeasts ; Brazil
    Language English
    Dates of publication 2021-06
    Size p. 1889-1892.
    Publishing place Springer International Publishing
    Document type Article
    Note NAL-AP-2-clean
    ZDB-ID 2166668-4
    ISSN 1742-7592 ; 1742-7584
    ISSN (online) 1742-7592
    ISSN 1742-7584
    DOI 10.1007/s42690-020-00384-5
    Database NAL-Catalogue (AGRICOLA)

    More links

    Kategorien

  3. Article: Detection of Enteric Viruses and Core Microbiome Analysis in Artisanal Colonial Salami-Type Dry-Fermented Sausages from Santa Catarina, Brazil

    Degenhardt, Roberto / Sobral Marques Souza, Doris / Acordi Menezes, Leidiane A. / de Melo Pereira, Gilberto Vinícius / Rodríguez-Lázaro, David / Fongaro, Gislaine / De Dea Lindner, Juliano

    Foods. 2021 Aug. 22, v. 10, no. 8

    2021  

    Abstract: ... communities, in artisanal Colonial salami-type dry-fermented sausages in Santa Catarina state, Brazil ...

    Abstract Microbial fermentation plays an important role in the manufacturing of artisanal sausages and can have major effects on product quality and safety. We used metagenomics and culture-dependent methods to study the presence of Hepatitis E virus (HEV) and Rotavirus-A (RV-A), and fungal and bacterial communities, in artisanal Colonial salami-type dry-fermented sausages in Santa Catarina state, Brazil. Lactic acid bacteria (LAB) and yeast dominated the microbiome. Latilactobacillus sakei and Debaryomyces hansenii were ubiquitous and the most abundant species. The DNA of some foodborne pathogens was found in very low concentrations although viable cells of most of these species were undetectable by cultivation methods. The characteristics of the raw material and hygiene of the artisanal sausage manufacturing process resulted in high loads of beneficial microorganisms and the absence of HEV and RV-A viruses as determined by RT-qPCR assays. In conclusion, high LAB load in sausages was more relevant to preventing pathogen growth than the ripening time and/or physicochemical characteristics. However, the presence of Clostridium spp. and other pathogens in some samples must be taken into account for the development of future preservation methods; appropriate LAB starter cultures and health surveillance are required in the production process to prevent foodborne outbreaks.
    Keywords Clostridium ; DNA ; Debaryomyces hansenii ; Orthohepevirus A ; Rotavirus A ; fermentation ; hygiene ; lactic acid ; metagenomics ; microbiome ; monitoring ; product quality ; raw materials ; traditional technology ; yeasts ; Brazil
    Language English
    Dates of publication 2021-0822
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2704223-6
    ISSN 2304-8158
    ISSN 2304-8158
    DOI 10.3390/foods10081957
    Database NAL-Catalogue (AGRICOLA)

    More links

    Kategorien

  4. Article: The Role of Serratomolide-like Amino Lipids Produced by Bacteria of Genus

    Marques-Pereira, Catarina / Proença, Diogo Neves / Morais, Paula V

    Pathogens (Basel, Switzerland)

    2022  Volume 11, Issue 2

    Abstract: Bursaphelenchus ... ...

    Abstract Bursaphelenchus xylophilus
    Language English
    Publishing date 2022-02-01
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2695572-6
    ISSN 2076-0817
    ISSN 2076-0817
    DOI 10.3390/pathogens11020198
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article: Discovery of Virus-Host interactions using bioinformatic tools.

    Marques-Pereira, Catarina / Pires, Manuel / Moreira, Irina S

    Methods in cell biology

    2022  Volume 169, Page(s) 169–198

    Abstract: Viruses are a diverse biological group capable of infecting several hosts such as bacteria, plants, and animals, including humans. Viral infections constitute a threat to the human population as they may cause high mortality rates, decrease food ... ...

    Abstract Viruses are a diverse biological group capable of infecting several hosts such as bacteria, plants, and animals, including humans. Viral infections constitute a threat to the human population as they may cause high mortality rates, decrease food production, and generate large economical losses. Viruses co-evolve with their hosts and this constant evolution must be clarified to better predict possible viral outbreaks, and to develop improved diagnostic methods and therapeutical approaches. In this review, we summarize several viral databases that store key information retrieved from a variety of omics approaches. Furthermore, we explore the use of such databases to predict Virus-Host interactions through artificial intelligence algorithms, focusing on the latest methodologies to characterize biological networks.
    MeSH term(s) Animals ; Artificial Intelligence ; Bacteria ; Computational Biology ; Host Microbial Interactions ; Host-Pathogen Interactions/genetics
    Language English
    Publishing date 2022-03-04
    Publishing country United States
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ISSN 0091-679X
    ISSN 0091-679X
    DOI 10.1016/bs.mcb.2022.02.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article: Genome Sequences of

    Marques-Pereira, Catarina / Proença, Diogo Neves / Morais, Paula V

    Biology

    2020  Volume 9, Issue 12

    Language English
    Publishing date 2020-12-20
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2661517-4
    ISSN 2079-7737
    ISSN 2079-7737
    DOI 10.3390/biology9120482
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article: The Role of Serratomolide-like Amino Lipids Produced by Bacteria of Genus Serratia in Nematicidal Activity

    Marques-Pereira, Catarina / Proença, Diogo Neves / Morais, Paula V.

    Pathogens. 2022 Feb. 01, v. 11, no. 2

    2022  

    Abstract: Bursaphelenchus xylophilus, also known as pinewood nematode (PWN), is the pathogenic agent of pine wilt disease (PWD), which affects pine trees around the world. Infection spread globally through international wood commerce and locally by vector beetles, ...

    Abstract Bursaphelenchus xylophilus, also known as pinewood nematode (PWN), is the pathogenic agent of pine wilt disease (PWD), which affects pine trees around the world. Infection spread globally through international wood commerce and locally by vector beetles, threatening the wood world economy. As climate changes, more countries are becoming susceptible to PWD and, to prevent disease spread and limit economic and ecological losses, better knowledge about this pathogenic agent is needed. Serratia strains, present in the endophytic community of pine trees and carried by PWN, may play an important role in PWD. This work aimed to better understand the interaction between Serratia strains and B. xylophilus and to assess the nematicidal potential of serratomolide-like molecules produced by Serratia strains. Serrawettin gene presence was evaluated in selected Serratia strains. Mortality tests were performed with bacteria supernatants, and extracted amino lipids, against Caenorhabditis elegans (model organism) and B. xylophilus to determine their nematicidal potential. Attraction tests were performed with C. elegans. Concentrated supernatants of Serratia strains with serratamolide-like lipopeptides were able to kill more than 77% of B. xylophilus after 72 h. Eight specific amino lipids showed a high nematicidal activity against B. xylophilus. We conclude that, for some Serratia strains, their supernatants and specific amino lipids showed nematicidal activity against B. xylophilus.
    Keywords Bursaphelenchus xylophilus ; Caenorhabditis elegans ; Serratia ; climate ; endophytes ; genes ; lipopeptides ; mortality ; nematicidal properties ; pathogens ; trade ; vascular wilt ; wood
    Language English
    Dates of publication 2022-0201
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2695572-6
    ISSN 2076-0817
    ISSN 2076-0817
    DOI 10.3390/pathogens11020198
    Database NAL-Catalogue (AGRICOLA)

    More links

    Kategorien

  8. Article ; Online: The Role of Serratomolide-like Amino Lipids Produced by Bacteria of Genus Serratia in Nematicidal Activity

    Catarina Marques-Pereira / Diogo Neves Proença / Paula V. Morais

    Pathogens, Vol 11, Iss 198, p

    2022  Volume 198

    Abstract: Bursaphelenchus xylophilus , also known as pinewood nematode (PWN), is the pathogenic agent of pine wilt disease (PWD), which affects pine trees around the world. Infection spread globally through international wood commerce and locally by vector beetles, ...

    Abstract Bursaphelenchus xylophilus , also known as pinewood nematode (PWN), is the pathogenic agent of pine wilt disease (PWD), which affects pine trees around the world. Infection spread globally through international wood commerce and locally by vector beetles, threatening the wood world economy. As climate changes, more countries are becoming susceptible to PWD and, to prevent disease spread and limit economic and ecological losses, better knowledge about this pathogenic agent is needed. Serratia strains, present in the endophytic community of pine trees and carried by PWN, may play an important role in PWD. This work aimed to better understand the interaction between Serratia strains and B. xylophilus and to assess the nematicidal potential of serratomolide-like molecules produced by Serratia strains. Serrawettin gene presence was evaluated in selected Serratia strains. Mortality tests were performed with bacteria supernatants, and extracted amino lipids, against Caenorhabditis elegans (model organism) and B. xylophilus to determine their nematicidal potential. Attraction tests were performed with C. elegans . Concentrated supernatants of Serratia strains with serratamolide-like lipopeptides were able to kill more than 77% of B. xylophilus after 72 h. Eight specific amino lipids showed a high nematicidal activity against B. xylophilus . We conclude that, for some Serratia strains, their supernatants and specific amino lipids showed nematicidal activity against B. xylophilus .
    Keywords Serratia ; serratomolides ; serrawettin W1 ; serrawettin W2 ; pine wilt disease ; pinewood nematode ; Medicine ; R
    Subject code 570
    Language English
    Publishing date 2022-02-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  9. Article ; Online: Guardians of the Cell: State-of-the-Art of Membrane Proteins from a Computational Point-of-View.

    Rosário-Ferreira, Nícia / Marques-Pereira, Catarina / Gouveia, Raquel P / Mourão, Joana / Moreira, Irina S

    Methods in molecular biology (Clifton, N.J.)

    2021  Volume 2315, Page(s) 3–28

    Abstract: Membrane proteins (MPs) encompass a large family of proteins with distinct cellular functions, and although representing over 50% of existing pharmaceutical drug targets, their structural and functional information is still very scarce. Over the last ... ...

    Abstract Membrane proteins (MPs) encompass a large family of proteins with distinct cellular functions, and although representing over 50% of existing pharmaceutical drug targets, their structural and functional information is still very scarce. Over the last years, in silico analysis and algorithm development were essential to characterize MPs and overcome some limitations of experimental approaches. The optimization and improvement of these methods remain an ongoing process, with key advances in MPs' structure, folding, and interface prediction being continuously tackled. Herein, we discuss the latest trends in computational methods toward a deeper understanding of the atomistic and mechanistic details of MPs.
    MeSH term(s) Algorithms ; Computational Biology/methods ; Computer Simulation ; Membrane Proteins/chemistry ; Models, Molecular ; Protein Folding
    Chemical Substances Membrane Proteins
    Language English
    Publishing date 2021-07-23
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1940-6029
    ISSN (online) 1940-6029
    DOI 10.1007/978-1-0716-1468-6_1
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article ; Online: SARS-CoV-2 Membrane Protein: From Genomic Data to Structural New Insights.

    Marques-Pereira, Catarina / Pires, Manuel N / Gouveia, Raquel P / Pereira, Nádia N / Caniceiro, Ana B / Rosário-Ferreira, Nícia / Moreira, Irina S

    International journal of molecular sciences

    2022  Volume 23, Issue 6

    Abstract: Severe Acute Respiratory Syndrome CoronaVirus-2 (SARS-CoV-2) is composed of four structural proteins and several accessory non-structural proteins. SARS-CoV-2's most abundant structural protein, Membrane (M) protein, has a pivotal role both during viral ... ...

    Abstract Severe Acute Respiratory Syndrome CoronaVirus-2 (SARS-CoV-2) is composed of four structural proteins and several accessory non-structural proteins. SARS-CoV-2's most abundant structural protein, Membrane (M) protein, has a pivotal role both during viral infection cycle and host interferon antagonism. This is a highly conserved viral protein, thus an interesting and suitable target for drug discovery. In this paper, we explain the structural nature of M protein homodimer. To do so, we developed and applied a detailed and robust in silico workflow to predict M protein dimeric structure, membrane orientation, and interface characterization. Single Nucleotide Polymorphisms (SNPs) in M protein were retrieved from over 1.2 M SARS-CoV-2 genomes and proteins from the Global Initiative on Sharing All Influenza Data (GISAID) database, 91 of which were located at the predicted dimer interface. Among those, we identified SNPs in Variants of Concern (VOC) and Variants of Interest (VOI). Binding free energy differences were evaluated for dimer interfacial SNPs to infer mutant protein stabilities. A few high-prevalent mutated residues were found to be especially relevant in VOC and VOI. This realization may be a game-changer to structure-driven formulation of new therapeutics for SARS-CoV-2.
    MeSH term(s) Binding Sites/genetics ; COVID-19/prevention & control ; COVID-19/virology ; Coronavirus M Proteins/chemistry ; Coronavirus M Proteins/genetics ; Coronavirus M Proteins/metabolism ; Genome, Viral/genetics ; Humans ; Molecular Dynamics Simulation ; Mutation ; Polymorphism, Single Nucleotide ; Protein Binding ; Protein Domains ; Protein Multimerization ; SARS-CoV-2/genetics ; SARS-CoV-2/physiology
    Chemical Substances Coronavirus M Proteins ; membrane protein, SARS-CoV-2
    Language English
    Publishing date 2022-03-10
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms23062986
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top