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  1. AU="Anju Kunjadia"
  2. AU="Delaflotte, Sylvie"
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  1. Article ; Online: Somatic Cell Count

    Yati Vaidya / Shriram Patel / Chaitanya Joshi / Dev Nauriyal / Anju Kunjadia

    European Journal of Breast Health, Vol 13, Iss 2, Pp 88-

    A Human Breast Wellbeing Indicator

    2017  Volume 93

    Abstract: Objective:Human milk is universally accounted as the preeminent source of nutrition for infants. Surprisingly, no approved diagnostic tests are available for the diagnosis of physical condition of the breast. Somatic cell count (SCC) is a key tool ... ...

    Abstract Objective:Human milk is universally accounted as the preeminent source of nutrition for infants. Surprisingly, no approved diagnostic tests are available for the diagnosis of physical condition of the breast. Somatic cell count (SCC) is a key tool commonly used in the dairy industry to provide evidence of udder health, which in turn determines the quality of bovine and cattle milk. Elevated levels of somatic cells in milk are observed during intra-mammary infectious state in bovine animals, which is due to active participation of the immune system. This constraint in humans can principally be used to study breast health.Materials and Methods:In the present study, 176 breast milk samples in total were randomly collected from four different regions of Gujarat, India. All the samples were subjected to somatic cell count and total bacterial count tests. The effect of geographical region and maternal health was studied on the basis of milk SCC and total bacterial load. Statistical interpretation of the results was done using PRISM 6.07.Results:Breast showing clinical symptoms of mastitis yielded a high SCC (>104 cells/microliter (μL)) and bacterial count (between 105 to 1011 Colony Forming Unit (CFU)/milliliter (mL)) in comparison to milk collected from healthy breast (<104 cells/μL and 103 to 104 CFU/mL). Statistical analysis reveals existence of significant correlation between the geographical region and SCC count of milk collected from healthy breast whereas no correlation was observed in infected breast milk. The study has also demonstrated that a lineer correlation exists between SCC and abundance of bacteria present in breast milk.Conclusion:The present study could be employed to predict lactating breast health.
    Keywords breast milk ; breast health ; colony forming unit ; somatic cell count ; Neoplasms. Tumors. Oncology. Including cancer and carcinogens ; RC254-282 ; Medicine ; R
    Subject code 616
    Language English
    Publishing date 2017-04-01T00:00:00Z
    Publisher Galenos Publishing House
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Insight into the transcriptome of Arthrobotrys conoides using high throughput sequencing.

    Ramesh, Pandit / Reena, Patel / Amitbikram, Mohapatra / Chaitanya, Joshi / Anju, Kunjadia

    Journal of basic microbiology

    2015  Volume 55, Issue 12, Page(s) 1394–1405

    Abstract: Arthrobotrys conoides is a nematode-trapping fungus belonging to Orbiliales, Ascomycota group, and traps prey nematodes by means of adhesive network. Fungus has a potential to be used as a biocontrol agent against plant parasitic nematodes. In the ... ...

    Abstract Arthrobotrys conoides is a nematode-trapping fungus belonging to Orbiliales, Ascomycota group, and traps prey nematodes by means of adhesive network. Fungus has a potential to be used as a biocontrol agent against plant parasitic nematodes. In the present study, we characterized the transcriptome of A. conoides using high-throughput sequencing technology and characterized its virulence unigenes. Total 7,255 cDNA contigs with an average length of 425 bp were generated and 6184 (61.81%) transcripts were functionally annotated and characterized. Majority of unigenes were found analogous to the genes of plant pathogenic fungi. A total of 1749 transcripts were found to be orthologous with eukaryotic proteins of KOG database. Several carbohydrate active enzymes and peptidases were identified. We also analyzed classically and nonclassically secreted proteins and confirmed by BLASTP against fungal secretome database. A total of 916 contigs were analogous to 556 unique proteins of Pathogen Host Interaction (PHI) database. Further, we identified 91 unigenes homologous to the database of fungal virulence factor (DFVF). A total of 104 putative protein kinases coding transcripts were identified by BLASTP against KinBase database, which are major players in signaling pathways. This study provides a comprehensive look at the transcriptome of A. conoides and the identified unigenes might have a role in catching and killing prey nematodes by A. conoides.
    MeSH term(s) Animals ; Ascomycota/enzymology ; Ascomycota/genetics ; Ascomycota/metabolism ; Ascomycota/pathogenicity ; Cluster Analysis ; Fungal Proteins/genetics ; Gene Expression Regulation, Fungal ; Gene Library ; High-Throughput Nucleotide Sequencing/methods ; Host-Pathogen Interactions ; Nematoda/microbiology ; Sequence Analysis, DNA ; Transcriptome ; Virulence Factors/genetics
    Chemical Substances Fungal Proteins ; Virulence Factors
    Language English
    Publishing date 2015-12
    Publishing country Germany
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 632513-0
    ISSN 1521-4028 ; 0233-111X
    ISSN (online) 1521-4028
    ISSN 0233-111X
    DOI 10.1002/jobm.201500237
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: RNA-Seq reveals the molecular mechanism of trapping and killing of root-knot nematodes by nematode-trapping fungi

    Pandit, Ramesh / Reena Patel / Namrata Patel / Vaibhav Bhatt / Chaitanya Joshi / Pawan Kumar Singh / Anju Kunjadia

    World journal of microbiology & biotechnology. 2017 Apr., v. 33, no. 4

    2017  

    Abstract: Nematode-trapping fungi are well known for their inherent potential to trap and kill nematodes using specialized trapping devices. However, the molecular mechanisms underlying the trapping and subsequent processes are still unclear. Therefore, in this ... ...

    Abstract Nematode-trapping fungi are well known for their inherent potential to trap and kill nematodes using specialized trapping devices. However, the molecular mechanisms underlying the trapping and subsequent processes are still unclear. Therefore, in this study, we examined differential genes expression in two nematode-trapping fungi after baiting with nematode extracts. In Arthrobotrys conoides, 809 transcripts associated with diverse functions such as signal transduction, morphogenesis, stress response and peroxisomal proteins, proteases, chitinases and genes involved in the host-pathogen interaction showed differential expression with fold change (>±1.5 fold) in the presence of nematode extract with FDR (p-value < 0.001). G-proteins and mitogen activated protein kinases are considered crucial for signal transduction mechanism. Results of qRT-PCR of 20 genes further validated the sequencing data. Further, variations in gene expression among Duddingtonia flagrans and A. conoides showed septicity of nematode-trapping fungi for its host. The findings illustrate the molecular mechanism of fungal parasitism in A. conoides which may be helpful in developing a potential biocontrol agent against parasitic nematodes.
    Keywords Arthrobotrys ; G-proteins ; Nematoda ; baiting ; biological control agents ; chitinase ; gene expression ; gene expression regulation ; genes ; host-pathogen relationships ; morphogenesis ; nematophagous fungi ; parasitism ; protein kinases ; proteinases ; quantitative polymerase chain reaction ; reverse transcriptase polymerase chain reaction ; root-knot nematodes ; sequence analysis ; signal transduction ; stress response ; trapping
    Language English
    Dates of publication 2017-04
    Size p. 65.
    Publishing place Springer Netherlands
    Document type Article
    ZDB-ID 1499109-3
    ISSN 1573-0972 ; 0959-3993
    ISSN (online) 1573-0972
    ISSN 0959-3993
    DOI 10.1007/s11274-017-2232-7
    Database NAL-Catalogue (AGRICOLA)

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  4. Article: Insight into the transcriptome of Arthrobotrys conoides using high throughput sequencing

    Ramesh, Pandit / Reena, Patel / Amitbikram, Mohapatra / Chaitanya, Joshi / Anju, Kunjadia

    Journal of basic microbiology

    Volume v. 55,, Issue no. 1

    Abstract: Arthrobotrys conoides is a nematode‐trapping fungus belonging to Orbiliales, Ascomycota group, and traps prey nematodes by means of adhesive network. Fungus has a potential to be used as a biocontrol agent against plant parasitic nematodes. In the ... ...

    Abstract Arthrobotrys conoides is a nematode‐trapping fungus belonging to Orbiliales, Ascomycota group, and traps prey nematodes by means of adhesive network. Fungus has a potential to be used as a biocontrol agent against plant parasitic nematodes. In the present study, we characterized the transcriptome of A. conoides using high‐throughput sequencing technology and characterized its virulence unigenes. Total 7,255 cDNA contigs with an average length of 425 bp were generated and 6184 (61.81%) transcripts were functionally annotated and characterized. Majority of unigenes were found analogous to the genes of plant pathogenic fungi. A total of 1749 transcripts were found to be orthologous with eukaryotic proteins of KOG database. Several carbohydrate active enzymes and peptidases were identified. We also analyzed classically and nonclassically secreted proteins and confirmed by BLASTP against fungal secretome database. A total of 916 contigs were analogous to 556 unique proteins of Pathogen Host Interaction (PHI) database. Further, we identified 91 unigenes homologous to the database of fungal virulence factor (DFVF). A total of 104 putative protein kinases coding transcripts were identified by BLASTP against KinBase database, which are major players in signaling pathways. This study provides a comprehensive look at the transcriptome of A. conoides and the identified unigenes might have a role in catching and killing prey nematodes by A. conoides.
    Keywords plant parasitic nematodes ; nematophagous fungi ; Arthrobotrys ; host-pathogen relationships ; unigenes ; biological control agents ; signal transduction ; high-throughput nucleotide sequencing ; plant pathogenic fungi ; databases ; virulence ; complementary DNA ; protein kinases ; peptidases ; transcriptome ; proteins ; Nematoda
    Language English
    Document type Article
    ISSN 0233-111X
    Database AGRIS - International Information System for the Agricultural Sciences and Technology

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