scholarly journals Genome-Wide Identification and Characterization of DnaJ Gene Family in Grape (Vitis vinifera L.)

Horticulturae ◽  
2021 ◽  
Vol 7 (12) ◽  
pp. 589
Author(s):  
Tianchi Chen ◽  
Tao Xu ◽  
Tianye Zhang ◽  
Tingting Liu ◽  
Leyi Shen ◽  
...  

Grape production in southern China suffers great loss due to various environmental stresses. To understand the mechanism of how the grape plants respond to these stresses is an active area of research in developing cultivation techniques. Plant stress resistance is known to rely on special proteins. Amongst them, DnaJ protein (HSP40) serves as co-chaperones of HSP70, playing crucial roles in various stress response. However, the DnaJ proteins encoded by the DnaJ gene family in Vitis vinifera L. have not been fully described yet. In this study, we identified 78 VvDnaJs in the grape genome that can be classified into three groups—namely, DJA, DJB, and DJC. To reveal the evolutionary and stress response mechanisms for the VvDnaJ gene family, their evolutionary and expression patterns were analyzed using the bioinformatic approach and qRT-PCR. We found that the members in the same group exhibited a similar gene structure and protein domain organization. Gene duplication analysis demonstrated that segmental and tandem duplication may not be the dominant pathway of gene expansion in the VvDnaJ gene family. Codon usage pattern analysis showed that the codon usage pattern of VvDnaJs differs obviously from the monocotyledon counterparts. Tissue-specific analysis revealed that 12 VvDnaJs present a distinct expression profile, implying their distinct roles in various tissues. Cis-acting element analysis showed that almost all VvDnaJs contained the elements responsive to either hormones or stresses. Therefore, the expression levels of VvDnaJs subjected to exogenous hormone applications and stress treatments were determined, and we found that VvDnaJs were sensitive to hormone treatments and shade, salt, and heat stresses, especially VIT_00s0324g00040. The findings of this study could provide comprehensive information for the further investigation on the genetics and protein functions of the DnaJ gene family in grape.

2021 ◽  
pp. 1450-1458
Author(s):  
Sharanagouda S. Patil ◽  
Uma Bharathi Indrabalan ◽  
Kuralayanapalya Puttahonnappa Suresh ◽  
Bibek Ranjan Shome

Background and Aim: Classical swine fever (CSF), caused by CSF virus (CSFV), is a highly contagious disease in pigs causing 100% mortality in susceptible adult pigs and piglets. High mortality rate in pigs causes huge economic loss to pig farmers. CSFV has a positive-sense RNA genome of 12.3 kb in length flanked by untranslated regions at 5' and 3' end. The genome codes for a large polyprotein of 3900 amino acids coding for 11 viral proteins. The 1300 codons in the polyprotein are coded by different combinations of three nucleotides which help the infectious agent to evolve itself and adapt to the host environment. This study performed and employed various methods/techniques to estimate the changes occurring in the process of CSFV evolution by analyzing the codon usage pattern. Materials and Methods: The evolution of viruses is widely studied by analyzing their nucleotides and coding regions/ codons using various methods. A total of 115 complete coding regions of CSFVs including one complete genome from our laboratory (MH734359) were included in this study and analysis was carried out using various methods in estimating codon usage bias and evolution. This study elaborates on the factors that influence the codon usage pattern. Results: The effective number of codons (ENC) and relative synonymous codon usage showed the presence of codon usage bias. The mononucleotide (A) has a higher frequency compared to the other mononucleotides (G, C, and T). The dinucleotides CG and CC are underrepresented and overrepresented. The codons CGT was underrepresented and AGG was overrepresented. The codon adaptation index value of 0.71 was obtained indicating that there is a similarity in the codon usage bias. The principal component analysis, ENC-plot, Neutrality plot, and Parity Rule 2 plot produced in this article indicate that the CSFV is influenced by the codon usage bias. The mutational pressure and natural selection are the important factors that influence the codon usage bias. Conclusion: The study provides useful information on the codon usage analysis of CSFV and may be utilized to understand the host adaptation to virus environment and its evolution. Further, such findings help in new gene discovery, design of primers/probes, design of transgenes, determination of the origin of species, prediction of gene expression level, and gene function of CSFV. To the best of our knowledge, this is the first study on codon usage bias involving such a large number of complete CSFVs including one sequence of CSFV from India.


2019 ◽  
Vol 1440 (1) ◽  
pp. 67-78 ◽  
Author(s):  
Arif Uddin ◽  
Nirmal Paul ◽  
Supriyo Chakraborty

Genomics ◽  
2020 ◽  
Vol 112 (4) ◽  
pp. 2695-2702 ◽  
Author(s):  
Xu-Yuan Liu ◽  
Yu Li ◽  
Kai-Kai Ji ◽  
Jie Zhu ◽  
Peng Ling ◽  
...  

BMC Genomics ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Huilin Xiao ◽  
Chaoping Wang ◽  
Nadeem Khan ◽  
Mengxia Chen ◽  
Weihong Fu ◽  
...  

2020 ◽  
Vol 165 (3) ◽  
pp. 557-570 ◽  
Author(s):  
Bornali Deb ◽  
Arif Uddin ◽  
Supriyo Chakraborty

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