scholarly journals Potential Targets for Evaluation of Sugarcane Yellow Leaf Virus Resistance in Sugarcane Cultivars: In silico Sugarcane miRNA and Target Network Prediction

Author(s):  
Muhammad Aleem Ashraf ◽  
Xiaoyan Feng ◽  
Linbo Shen ◽  
Shuzhen Zhang

The Sugarcane yellow leaf virus (SCYLV) is associated with sugarcane yellow leaf disease (SCYLD) and is considered to be the most economically deleterious emerging pathogen that represents a potential threat and danger to sugarcane cultivation in China. Over the last two decades, high genetic diversity in the SCYLV genotypes was observed worldwide, with a greater chance of YLD incidence for sugarcane injury. SCYLV infection has significantly damaged its economic traits and is responsible for substantial losses in biomass production in sugarcane cultivars. This study aims to identify and comprehensively analyze sugarcane microRNAs (miRNAs) as therapeutic targets against SCYLV using plant miRNA prediction tools. Mature sugarcane miRNAs are retrieved and are used for hybridization of the SCYLV. A total of seven common sugarcane miRNAs were selected based on consensus genomic positions. The biologically significant, top ranked ssp-miR528 was consensually predicted to have a potentially unique hybridization site at nucleotide position 4162 for targeting the ORF5 of the SCYLV genome; this was predicted by all the algorithms used in this study. Then, the miRNA–mRNA regulatory network was generated using the Circos algorithm, which was used to predict novel targets. There are no acceptable commercial SCYLV-resistant sugarcane varieties available at present. Therefore, the predicted biological data offer valuable evidence for the generation of SCYLV-resistant sugarcane plants.

Author(s):  

Abstract A new distribution map is provided for Sugarcane yellow leaf virus. Luteoviridae: Polerovirus. Hosts: sugarcane (Saccharum officinarum), barley (Hordeum vulgare), sorghum (Sorghum bicolor). Information is given on the geographical distribution in Asia (China, Fujian, Guangdong, Guangxi, Guizhou, Hainan, Jiangxi, Yunnan, India, Andhra Pradesh, Bihar, Haryana, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Punjab, Tamil Nadu, Uttar Pradesh, Uttarakhand, Indonesia, Malaysia, Philippines, Sri Lanka, Taiwan, Thailand), Africa (Egypt, Kenya, Mauritius, Reunion, South Africa, Tunisia), North America (USA, Florida, Hawaii, Louisiana, Texas), Central America & Caribbean (Barbados, Costa Rica, Cuba, Guadeloupe, Guatemala, Martinique, Nicaragua, Puerto Rico), South America (Argentina, Brazil, Colombia, Ecuador, Peru, Venezuela).


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ricardo José Gonzaga Pimenta ◽  
Alexandre Hild Aono ◽  
Roberto Carlos Villavicencio Burbano ◽  
Alisson Esdras Coutinho ◽  
Carla Cristina da Silva ◽  
...  

AbstractSugarcane yellow leaf (SCYL), caused by the sugarcane yellow leaf virus (SCYLV) is a major disease affecting sugarcane, a leading sugar and energy crop. Despite damages caused by SCYLV, the genetic base of resistance to this virus remains largely unknown. Several methodologies have arisen to identify molecular markers associated with SCYLV resistance, which are crucial for marker-assisted selection and understanding response mechanisms to this virus. We investigated the genetic base of SCYLV resistance using dominant and codominant markers and genotypes of interest for sugarcane breeding. A sugarcane panel inoculated with SCYLV was analyzed for SCYL symptoms, and viral titer was estimated by RT-qPCR. This panel was genotyped with 662 dominant markers and 70,888 SNPs and indels with allele proportion information. We used polyploid-adapted genome-wide association analyses and machine-learning algorithms coupled with feature selection methods to establish marker-trait associations. While each approach identified unique marker sets associated with phenotypes, convergences were observed between them and demonstrated their complementarity. Lastly, we annotated these markers, identifying genes encoding emblematic participants in virus resistance mechanisms and previously unreported candidates involved in viral responses. Our approach could accelerate sugarcane breeding targeting SCYLV resistance and facilitate studies on biological processes leading to this trait.


2006 ◽  
Vol 0 (0) ◽  
pp. 070130054450001-???
Author(s):  
A. T. Lehrer ◽  
S. Schenck ◽  
S.-L. Yan ◽  
E. Komor

2017 ◽  
Vol 67 (1) ◽  
pp. 221-232 ◽  
Author(s):  
A. I. ElSayed ◽  
M. Boulila ◽  
D. C. Odero ◽  
E. Komor

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