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akaturk Akademik ölçüm

Makale detayı · 2014

Star network analysis of sequence based identified Yarrowia lipolytica strains

Turkish Journal of Biochemistry-Turk Biyokimya Dergisi

YÖKSİS OpenAlex SJR Q3 JCR Q4 Atıf 1 Yüzdelik 10.1% FWCI 0.0
Yıl
2014
ISSN
0250-4685
Tür
article

Veri kaynağı ayrımı

  • YÖKSİS YÖKSİS makale kaydı
  • OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)

Özet

İngilizce (OpenAlex)

Aim: The objectives of this study are, first, to investigate a star network analysis of phylogenetic trees of identified Y. lipolytica strains with or without one out-group, and secondly, to show the redundancy of the out-groups in phylogenetic tree. Material and Methods: In this study we used 22 Yarrowia lipolytica strains which were identified with sequencing of D1/D2 domain of 26S rDNA region, two phylogenetic trees were reconstructed by the neighbor joining method including an out-group or not. The star- like weighted network analysis of these two phylogenetic trees was investigated. Results: The adjacency matrix formalism of our weighted phylogenetic network with the out- group looks like a directed star graph adjacency matrix. The lowest weight is the edge from the central node to Candida sake out-group (0.00008) corresponding to the narrowest edge. However, the edge going from central node to Yarrowia lipolytica TEM YL 19 has a weight of 0.0825 and the thickest structure. Conclusion: Thus network analysis show that phylogenetic relationship between close strain and subspecies can be confirmed and also the out-group in this phylogenetic tree is unnecessary due to the negligible change in the average weighted degree and its some

Konular

  • Genomics and Phylogenetic Studies
  • Machine Learning in Bioinformatics
  • Microbial Metabolic Engineering and Bioproduction

Birincil konu Genomics and Phylogenetic Studies

Yazarlar

  1. EMİR HALİKİ EGE ÜNİVERSİTESİ
  2. ONUR AKPINAR
  3. FÜSUN BAHRİYE UÇAR
  4. ALEV UZTAN