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  1. AU="Davis, Sangeetha P"
  2. AU="Groesdonk, H."
  3. AU=Calorini Lido AU=Calorini Lido
  4. AU="Marina Umansky Sommer"
  5. AU="Al-Yousofy, Fayed"
  6. AU="Martínez-Peláez, Rafael"
  7. AU="Joumaa, Ranim"
  8. AU="Miranda, Alejandro"
  9. AU="Asselin, Yanick"
  10. AU="Napierala, Eric"
  11. AU="Hanna, S R"
  12. AU=Klukova Ludmila
  13. AU="Androutsakos, Theodoros"
  14. AU="Vrzal, Radim"
  15. AU="Carlo Gambacorti-Passerini"
  16. AU="Mahjabeen, Faria"
  17. AU="Roberto Giovannoni"
  18. AU="Rajendra Damu Patil"
  19. AU="Santos-García, Irene"
  20. AU="Josiah Willock, Robina"
  21. AU="Ciacci, Joseph"
  22. AU="Barker, A"
  23. AU="Chris Baraloto"
  24. AU="Wagner, Lloyd"
  25. AU="Jandrić, Petar Hayes"

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  1. Artikel: Genome-wide microsatellites and species specific markers in genus

    Mathew, Deepu / Anju, P S / Tom, Amala / Johnson, Neethu / Lidia George, M / Davis, Sangeetha P / Ravisankar, V / Asha, K N

    3 Biotech

    2020  Band 10, Heft 10, Seite(n) 442

    Abstract: Genome wide microsatellite maps shall ... ...

    Abstract Genome wide microsatellite maps shall support
    Sprache Englisch
    Erscheinungsdatum 2020-09-18
    Erscheinungsland Germany
    Dokumenttyp Journal Article
    ZDB-ID 2600522-0
    ISSN 2190-5738 ; 2190-572X
    ISSN (online) 2190-5738
    ISSN 2190-572X
    DOI 10.1007/s13205-020-02430-y
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel: Genome-wide microsatellites and species specific markers in genus Phytophthora revealed through whole genome analysis

    Mathew, Deepu / Anju, P. S / Tom, Amala / Johnson, Neethu / Lidia George, M / Davis, Sangeetha P / Ravisankar, V / Asha, K. N

    3 Biotech. 2020 Oct., v. 10, no. 10

    2020  

    Abstract: Genome wide microsatellite maps shall support Phytophthora systematics through the development of reliable markers, enabling species discrimination and variability analyses. Whole genome sequences of 17 Phytophthora accessions belonging to 14 species ... ...

    Abstract Genome wide microsatellite maps shall support Phytophthora systematics through the development of reliable markers, enabling species discrimination and variability analyses. Whole genome sequences of 17 Phytophthora accessions belonging to 14 species were retrieved from GenBank and the genome-wide microsatellites in each species were mined. A total of 51,200 microsatellites, including dinucleotide to decanucleotide motifs, have been identified across all the species and each one was characterized for uniqueness and repeat number. The P. infestans T30-4 genome had the highest (6873) and P. multivora 3378 had the lowest number of microsatellites (1802). Dinucleotide motifs (63.6%) followed by trinucleotide motifs (30.1%) were most abundant in all the genome. From 14 species, 250 microsatellites which are unique for the respective genomes are detailed along with their primer combinations and product sizes. P. sojae had the highest number of unique microsatellite motifs. Genome wide microsatellite maps for all the 14 Phytophthora species including the chromosome, position, motif, repeat number, forward and reverse primer sequences and expected PCR product size, for every microsatellite are presented. Markers based on the unique microsatellites could be used to identify each species, whereas the ones common to all species could be used to identify the genetic variability. Furthermore, to confirm the results, pure cultures of P. capsici, P. nicotianae and P. palmivora were procured from the Phytophthora Repository, DNA was isolated and the unique markers were screened across the species. The characteristic markers developed have confirmed the genome analysis results.
    Schlagwörter DNA ; chromosomes ; genetic variation ; genome ; microsatellite repeats ; sequence analysis
    Sprache Englisch
    Erscheinungsverlauf 2020-10
    Umfang p. 442.
    Erscheinungsort Springer International Publishing
    Dokumenttyp Artikel
    Anmerkung NAL-AP-2-clean
    ZDB-ID 2600522-0
    ISSN 2190-5738 ; 2190-572X
    ISSN (online) 2190-5738
    ISSN 2190-572X
    DOI 10.1007/s13205-020-02430-y
    Datenquelle NAL Katalog (AGRICOLA)

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  3. Artikel ; Online: Coconut phytocompounds inhibits polyol pathway enzymes: Implication in prevention of microvascular diabetic complications.

    Sheela, Devi Lekshmi / Nazeem, Puthiyaveetil Abdulla / Narayanankutty, Arunaksharan / Shylaja, R Muthangaparambil / Davis, Sangeetha P / James, Priyanga / Valsalan, Ravisankar / Devassy Babu, Thekkekara / Raghavamenon, Achuthan C

    Prostaglandins, leukotrienes, and essential fatty acids

    2017  Band 127, Seite(n) 20–24

    Abstract: Coconut oil (CO), the primary choice of cooking purposes in the south Asian countries, is rich in medium chain saturated fatty acids, especially lauric acid (50-52%). The oil has high medicinal use in Ayurvedic system and known to contain polyphenolic ... ...

    Abstract Coconut oil (CO), the primary choice of cooking purposes in the south Asian countries, is rich in medium chain saturated fatty acids, especially lauric acid (50-52%). The oil has high medicinal use in Ayurvedic system and known to contain polyphenolic antioxidants. Studies have reported that CO improves insulin sensitivity and shows hypoglycemic effect. However, there is no information regarding its effect on chronic diabetic complications including retinopathy and nephropathy is available. The secondary diabetic complications are mediated by the activation of polyol pathway, where aldose reductase (AR) plays crucial role. In this study, in silico analysis has been used to screen the effect of CO as well as its constituents, MCFAs and phenolic compounds, for targeting the molecules in polyol pathway. The study revealed that lauric acid (LA) interacts with AR and DPP-IV of polyol pathway and inhibits the activity of these enzymes. Validation studies using animal models confirmed the inhibition of AR and SDH in wistar rats. Further, the LA dose dependently reduced the expression of AR in HCT-15 cells. Together, the study suggests the possible role of CO, particularly LA in reducing secondary diabetic complications.
    Mesh-Begriff(e) Aldehyde Reductase/chemistry ; Aldehyde Reductase/metabolism ; Animals ; Antioxidants/therapeutic use ; Coconut Oil/chemistry ; Coconut Oil/therapeutic use ; Diabetic Nephropathies/diet therapy ; Diabetic Nephropathies/pathology ; Diabetic Retinopathy/diet therapy ; Diabetic Retinopathy/pathology ; Fatty Acids/therapeutic use ; Humans ; Lauric Acids/chemistry ; Lauric Acids/therapeutic use ; Medicine, Ayurvedic ; Polymers/chemistry ; Polyphenols/chemistry ; Polyphenols/therapeutic use ; Rats
    Chemische Substanzen Antioxidants ; Fatty Acids ; Lauric Acids ; Polymers ; Polyphenols ; polyol ; lauric acid (1160N9NU9U) ; Aldehyde Reductase (EC 1.1.1.21) ; Coconut Oil (Q9L0O73W7L)
    Sprache Englisch
    Erscheinungsdatum 2017-12
    Erscheinungsland Scotland
    Dokumenttyp Journal Article
    ZDB-ID 286714-x
    ISSN 1532-2823 ; 0952-3278
    ISSN (online) 1532-2823
    ISSN 0952-3278
    DOI 10.1016/j.plefa.2017.10.004
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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