• No results found

Identification of MicroRNAs in Helicoverpa armigera and Spodoptera litura Based on Deep Sequencing and Homology Analysis

N/A
N/A
Protected

Academic year: 2020

Share "Identification of MicroRNAs in Helicoverpa armigera and Spodoptera litura Based on Deep Sequencing and Homology Analysis"

Copied!
15
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 1. Length distribution and comparison of small RNA tags sequenced in H. armigeradiagrams show the length distribution of the small RNAs in  and S
Figure 2. First nucleotide bias and position nucleotide bias. The first nucleotide bias of the miRNAs in H
Table 2. Novel miRNA sequences and numbers of reads in H. armigera and S. litura.
Table 3. Common miRNAs targeting the homologous regions in 3' UTRs of B. mori, H. armigera, and S
+4

References

Related documents

ings were observed in the renal tissue of the Cis group with significantly increased levels of oxidants and IL-1β, such as wide hemorrhage areas, dilated and congested blood

19% serve a county. Fourteen per cent of the centers provide service for adjoining states in addition to the states in which they are located; usually these adjoining states have

SLNs combine the advantages of different colloidal carriers, like emulsions, liposome’s, (physically acceptable) polymeric nanoparticles (controlled drug release from

It is our hope that the light of Great Classical Music will shine in this CD set and be reflected wherever it is played and heard throughout the world. WCPE is

This is why the modeling and analysis of such structures are done with the main aim being to determine the local stress states in the zones where high stress gradients occur,

consistently been identified as a critical risk factor for longer-term outcomes (i.e., those patients who report the most intense pain in the acute period after surgery are at

Our immediate needs for continuation and expansion of the Mobility Assessment Tool dictated support for both desktop computers (running either Windows or Mac OS X) and Apple

Standard maximum likelihood factor analysis models describe the distribution of observed continuous variables as Gaussian with factor-analyzed covariance matrix. We use this family