An efficient experiment design helps to identify differential expressed genes (DEGs) in RNA-seq data in studies of plant qualitative traits

نویسندگان

  • Xingfeng Li
  • Zhenqiao Song
  • Yinguang Bao
  • Honggang Wang
چکیده

1 In this study, we conducted comparative transcriptome analysis between homozygous dominant 2 parent and heterozygous F1 hybrid with homozygous recessive parent in qualitative trait study of 3 common wheat (Triticum aestivum L.). Two sets of near-isogenic lines (NILs) were used: one set of 4 NILs carrying powdery mildew resistance and susceptible Pm2 alleles, the other set of NILs carrying 5 different awn inhibition gene B1 alleles. The results demonstrated that 2,932 DEGs were identified 6 between L031 (Pm2Pm2) and Chancellor (pm2pm2), while 1,494 DEGs presented between F1 hybrid 7 (Pm2pm2) and Chancellor, the co-regulated DEGs were 1,028. For the wheat awn inhibition gene B1 8 test, 720 DEGs were identified between SN051-2 (B1B1) and SN051-1 (b1b1), and 231 DEGs were 9 identified between F1 hybrid (B1b1) and SN051-1, the co-regulated DEGs were 180. Hierarchical 10 clustering analysis of co-regulated DEGs showed that dominant parent and F1 hybrid were clustered 11 as the nearest neighbors, while recessive parent showed an apparent departure. The results showed 12 that the overlapping DEGs between dominant parent and F1 hybrid with recessive parent reduced the 13 number of interested DEGs to only one-quarter (or one-third) of that between dominant and recessive 14 parent, these overlapping loci could provide insights into molecular mechanisms that are affected by 15 causal mutations. 16

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Identification of soybean circular RNAs in response to low nitrogen and phosphorus stress

Soybean, one of the most important sources of edible oil and protein in the world, is exposed to various environmental biotic and abiotic stresses. These stresses can negatively impact the quality and quantity of soybean production. This study aimed to identify genes that express circular RNAs in response to low phosphorus and nitrogen stresses in soybean roots. Soybean seeds were grown under d...

متن کامل

Identification and Functional Prediction of Long Non-Coding RNAs Responsive to Drought stress in Lens culinaris L.

Drought stress is one of the main environmental factors that affects growth and productivity of crop plants, including lentil. In the course of evolution evolution, crucial genetic regulations mediated by non-coding RNAs (ncRNAs) have emerged in plant in response to drought and other abiotic stresses. In the present study, after identifying lncRNAs within the expression profile of lentil, RNA-s...

متن کامل

Investigating the Function of Predicted Proteins from RNA-Seq Data in Holstein and Cholistani Cattle Breeds

This study was performed to determine the digital expression profile of different genes expressed in Holstein and Cholistani breeds as well as to evaluate the performance of predicted proteins derived from differentially expressed genes between these two breeds using RNA-Seq data. For this purpose, the whole mRNA sequence for a blood sample of American Holstein and Pakistani Cholistani cattle p...

متن کامل

Regulatory effects of cis- and trans-LncRNAs on differential expression of genes following infection with viral hemorrhagic septicemia virus in rainbow trout (Oncorhynchus mykiss)

In this study the cis and trans regulatory effect of long non-coding genes (lncRNA) on the expression of genes in fish infected by Viral hemorrhagic septicemia virus (VHS) was investigated using RNA-seq technology. At the end of experimental period (the thirty fifth day), total RNA was extracted from spleen tissue (group treated with virus) and physiological serum (control group) was used to pr...

متن کامل

RNA-Seq differential expression analysis: An extended review and a software tool

The correct identification of differentially expressed genes (DEGs) between specific conditions is a key in the understanding phenotypic variation. High-throughput transcriptome sequencing (RNA-Seq) has become the main option for these studies. Thus, the number of methods and softwares for differential expression analysis from RNA-Seq data also increased rapidly. However, there is no consensus ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017