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   identification of seed-quality related genes in rice (oryza sativa l.)  
   
نویسنده zinati zahra ,amin hossein
منبع اولين همايش بين المللي و پنجمين همايش ملي علوم و تكنولوژي بذر ايران - 1400 - دوره : 1 - اولین همایش بین المللی و پنجمین همایش ملی علوم و تکنولوژی بذر ایران - کد همایش: 00210-97078 - صفحه:0 -0
چکیده    Seed quality is a significant factor in rice production, because of its impact on farmer incomes and the economy. so,identifying candidate genes involved in the seed composition quality trait is essential for developing high-quality genotypes.to this end, forty-one genes associated with the seed composition quality trait were retrieved from planteome(https://browser.planteome.org/amigo ). a gene network was predicted among the genes via the string v11 database(https://string-db.org/). after that, the predicted network was automatically expanded by the string database, whichresulted in the prediction of 5 genes, namely osj_10226 (vacuolar sorting protein 9 domain containing protein, expressed),osj_17344 (putative phosphatidylinositol 3-kinase), bglu8 (beta-glucosidase 8), bglu4 (beta-glucosidase 4), andos03t0842700-03 (putative vacuolar sorting protein). interactions of the predicted genes with the well-known genesinvolved in seed quality support their role in seed quality. moreover, the predicted promoter sequences were checked for thepresence of transcription factor binding sites using plantcare (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/).according to the promoter analysis of the predicted genes, important transcription factor binding sites related to zeinmetabolism regulation were identified, confirming the involvement of the predicted genes in the seed composition quality.to our knowledge, there is no detailed study about the role of these predicted candidate genes in seed composition quality.these findings provide a new avenue for functional analyses of novel predicted genes and give clues to engineering highquality rice.
کلیدواژه network analysis; rice; seed composition quality trait
آدرس , iran, , iran
پست الکترونیکی sfarokhzadeh87@gmail.com
 
     
   
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