پایگاه‌های داده های اصلی جهت مطالعه بیان ژن ها در گیاهان (مطالعه موردی: برنج)

نوع مقاله : مقاله مروری

نویسندگان

1 دانش آموخته دکتری، گروه بیوتکنولوژی کشاورزی، دانشکده علوم کشاورزی، دانشگاه گیلان، رشت، ایران

2 استاد، گروه زراعت و اصلاح نباتات، دانشکده علوم کشاورزی، دانشگاه گیلان، رشت، ایران

چکیده

برنج به‌عنوان یکی از مهم‌ترین گیاهان زراعی، کوچک‌ترین ژنوم را در بین غلات دارد و به‌عنوان یک گیاه مدل برای مطالعات ژنتیکی مطرح است. کوچک بودن ژنوم این گیاه باعث شده است که مطالعات جامعی روی آن انجام شود و در نتیجه مقدار زیادی اطلاعات به­دست آید. جمع­آوری و نگهداری مناسب این اطلاعات (داده­ها) و مدیریت هر چه بهتر داده‌های حاصل از آزمایش­های مختلف در قالب یک پایگاه داده­ها، جهت دسترسی محققین به آن­ها برای جلوگیری از دوباره‌کاری و نیز مقایسه نتایج خود با نتایج سایر محققین، از اهمیت ویژه­ای برخوردار است. برای رسیدن به این هدف، می‌توان از بیوانفورماتیک کمک شایان توجهی گرفت. بنابراین، ایجاد و توسعه پایگاه­های داده‌های تخصصی و استفاده از ابزارهای بیوانفورماتیک برای پردازش داده‌ها، سازمان‌دهی کارآمد، تجزیه و تحلیل و تجسم آن‌ها امری ضروری است. در این مقاله، پایگاه‌های داده­های عمده برای مطالعه بیان ژن­ها در سه سطح RNA، پروتئین و متابولوم در گیاه برنج بررسی می­شود و ویژگی‌های این پایگاه‌‌ها برای هر سطح مورد بحث و بررسی قرار می­گیرد.

کلیدواژه‌ها


عنوان مقاله [English]

Major databases to study genes expression in plants (A case study: Rice)

نویسندگان [English]

  • Mojtaba Kordrostami 1
  • Babak Rabiei 2
1 Graduated Ph. D., Dept. of Agricultural Biotechnology, Faculty of Agricultural Science, University of Guilan, Rasht, Iran
2 Prof., Dept. of Agronomy and Plant Breeding, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran
چکیده [English]

Rice, as one of the most important crops, has the smallest genome among cereals and is considered as a model plant for genetic studies. The small size of this plant’s genome has led to comprehensive studies on it, resulting in a large amounts of data to be obtained. Properly collecting and storing these data and managing data from various experiments in a database for accessing researchers to them to avoid re-work and to compare their results with the results of other researchers is very important. To achieve these, bioinformatics can be great help. Therefore, the creation and development of specialized databases and the use of bioinformatics tools for data processing, efficient organization, analysis and visualization are necessary. In this paper, the major databases for studying gene expression at three levels, RNA, protein and metabolome in rice are reviewed and the characteristics of these databases for each level are discussed.

کلیدواژه‌ها [English]

  • Bioinformatics
  • Metabolic pathway
  • Web based databases
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