برنامه‌ریزی بیان ژن و کاربرد آن در مدل‌سازی فعالیت آنزیم نیترات‌ریداکتاز در شرایط شوری

نویسندگان

1 استادیار مرکز آموزش عالی شهید باکری میاندوآب، دانشگاه ارومیه

2 دانش‌آموخته کارشناسی ارشد گروه علوم و مهندسی خاک، دانشگاه تبریز

چکیده

فعالیت آنزیم نیترات­ریداکتاز می­تواند شاخص مناسبی برای جذب نیترات در حضور کلر و تحمل گیاه به شوری باشد. برنامه­ریزی بیان ژن یک مدل ریاضی بین متغیّرهای ورودی و خروجی بوده و توانایی انتخاب پارامترهای مؤثر در مدل را دارد. در این تحقیق محتوای یونی ریشه (کلر، سدیم، نیترات و پتاسیم) در دو ژنوتیپ انگور (قره­شانی و قزل­اوزوم) به­عنوان پارامترهای مؤثر بر فعالیت نیترات­ریداکتاز وارد مدل برنامه­ریزی بیان ژن شدند. نتایج نشان داد که جذب نیترات تحت شوری کاهش یافت، همچنین در غلظت­های بالای نیترات کاهش در ژنوتیپ­ حساس به شوری بیشتر بود. به‌عبارت‌دیگر در انگور سیستم  انتقال با تمایل پایین (LATS) نسبت ­به سیستم انتقال با تمایل بالا (HATS ) به شوری حساس­تر بود. فعالیت آنزیم نیترات­ریداکتاز با افزایش غلظت نیترات در ریشه در هر دو ژنوتیپ­ افزایش یافت .مقایسه نتایج حاصل از کاربرد سه مجموعه عملگر ریاضی نشان داد که بیشترین ضریب همبستگی و کمترین میانگین مربعات خطا در دوره آموزش برای حالتی است که از مجموعه عملگرهای مدل پیش­فرض بهره برده شود، اما در مرحله آزمون عملگرهای اصلی همراه با جذر و توان نشان­دهنده نتایج بهتری در مقایسه با سایر مجموعه عملگرها بود. همچنین مطابق با مدل پیشنهادی به­ترتیب نیترات، کلراید، سدیم و پتاسیم به­عنوان متغیرهای مؤثر انتخابی در کاهش فعالیت آنزیم نیترات ریداکتاز مشارکت می­کنند.

کلیدواژه‌ها


عنوان مقاله [English]

Gene Expression Programming and Its Application in Modeling Nitrate Reductase Enzyme Activity under Salinity Conditions

نویسندگان [English]

  • N Mohammadkhani 1
  • M Servati 1
  • M Rahmati 2
1 Assist. Prof., Shahid Bakeri High Education Center of Miandoab, Urmia University, Iran
2 M.Sc. of Soil Science and Engineering Department, University of Tabriz, Iran
چکیده [English]

Nitrate reductase enzyme activity can be a good indicator for nitrate uptake in the presence of chloride and plant tolerance to salinity. Gene expression programming is a mathematical model between input and output variables and has the ability of choosing the effective parameters in the model. In this study, ions contents of root (chloride, sodium, nitrate and potassium) in two grape genotypes (Gharashani and GhezelUzum) as the effective parameters in the nitrate reductase activity were used in genetic programming model. The results showed that the nitrate absorption was decreased under salinity, also at higher nitrate concentration this reduction was higher in the salt sensitive genotype. It means that in grape the low affinity transport system (LATS) was more sensitive to salinity compared to the high affinity transport system (HATS). In both genotypes, the nitrate reductase activity increased with increasing the nitrate concentration in root medium. Comparing the results obtained using three function set showed that the highest correlation and lowest root mean square error were achieved for training phase by using the default function set, while for the testing phase, the main operators along with the squared root and power gave the better performance accuracy. Also, according to the suggested model, nitrate, chloride, sodium and potassium as the selected effective variables contribute with a decreasing order in the nitrate reductase activity respectively.

کلیدواژه‌ها [English]

  • Grape
  • Mathematical operators
  • Nitrate- chloride interaction
  • Nutrients
  • salinity
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