İçeriğe geç
akaturk Akademik ölçüm

Makale detayı · 2005 · article

Characterizing the Grape transcriptome Analysis of Expressed Sequence Tags from multiple Vitis species and development of a compendium of gene expression during berry development

ISSN0032-0889
YÖKSİS OpenAlex Üst %1
Yıl2005
Atıf185OpenAlex
Yüzdelik%99,5
FWCI20,241,00 = dünya ortalaması
Scopus (SJR)Q1
WoS (JCR)Q1

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıPlant Physiology
  • Katalog eşleşmesi (ISSN)Plant Physiology
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)

Özet

OpenAlex İngilizce

We report the analysis and annotation of 146,075 expressed sequence tags from Vitis species. The majority of these sequences were derived from different cultivars of Vitis vinifera, comprising an estimated 25,746 unique contig and singleton sequences that survey transcription in various tissues and developmental stages and during biotic and abiotic stress. Putatively homologous proteins were identified for over 17,752 of the transcripts, with 1,962 transcripts further subdivided into one or more Gene Ontology categories. A simple structured vocabulary, with modules for plant genotype, plant development, and stress, was developed to describe the relationship between individual expressed sequence tags and cDNA libraries; the resulting vocabulary provides query terms to facilitate data mining within the context of a relational database. As a measure of the extent to which characterized metabolic pathways were encompassed by the data set, we searched for homologs of the enzymes leading from glycolysis, through the oxidative/nonoxidative pentose phosphate pathway, and into the general phenylpropanoid pathway. Homologs were identified for 65 of these 77 enzymes, with 86% of enzymatic steps represented by paralogous genes. Differentially expressed transcripts were identified by means of a stringent believability index cutoff of > or =98.4%. Correlation analysis and two-dimensional hierarchical clustering grouped these transcripts according to similarity of expression. In the broadest analysis, 665 differentially expressed transcripts were identified across 29 cDNA libraries, representing a range of developmental and stress conditions. The groupings revealed expected associations between plant developmental stages and tissue types, with the notable exception of abiotic stress treatments. A more focused analysis of flower and berry development identified 87 differentially expressed transcripts and provides the basis for a compendium that relates gene expression and annotation to previously characterized aspects of berry development and physiology. Comparison with published results for select genes, as well as correlation analysis between independent data sets, suggests that the inferred in silico patterns of expression are likely to be an accurate representation of transcript abundance for the conditions surveyed. Thus, the combined data set reveals the in silico expression patterns for hundreds of genes in V. vinifera, the majority of which have not been previously studied within this species.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

185atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 3 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. 2007 Water and salinity stress in grapevines early and late changes in transcript and metabolite profilesAtıf 569 · OpenAlex
  2. 2007 Proteomic analysis reveals differences between Vitis vinifera L cv Chardonnay and cv Cabernet Sauvignon and their responses to water deficit and salinityAtıf 204 · OpenAlex
  3. 2011 Identification of tissue specific abiotic stress responsive gene expression patterns in wine grape Vitis vinifera L based on curation and mining of large scale EST data setsAtıf 44 · OpenAlex

Yazarlar

18
  1. FG da Silva 1
  2. A Iandolino 2
  3. F Al kayal 3
  4. MC Bohlmann 4
  5. MA Cushman 5
  6. H Lim 6
  7. ALİ ERGÜL ANKARA ÜNİVERSİTESİ 7
  8. R Figueroa 8
  9. EK Kabuloglu 9
  10. C Osborne 10
  11. J Rowe 11
  12. E Tattersall 12
  13. A Leslie 13
  14. J Xu 14
  15. J Baek 15
  16. G Cramer 16
  17. JC Cushman 17
  18. D Cook 18