Literature DB >> 29730517

Genome characterization of Sugarcane Yellow Leaf Virus with special reference to RNAi based molecular breeding.

Farghama Khalil1, Xu Yueyu1, Xiao Naiyan1, Liu Di1, Muhammad Tayyab1, Wang Hengbo1, Waqar Islam2, Saeed Rauf3, Chen Pinghua4.   

Abstract

Sugarcane is an essential crop for sugar and biofuel. Globally, its production is severely affected by sugarcane yellow leaf disease (SCYLD) caused by Sugarcane Yellow Leaf Virus (SCYLV). Many aphid vectors are involved in the spread of the disease which reduced the effectiveness of cultural and chemical management. Empirical methods of plant breeding such as introgression from wild and cultivated germplasm were not possible or at least challenging due to the absence of resistance in cultivated and wild germplasm of sugarcane. RNA interference (RNAi) transformation is an effective method to create virus-resistant varieties. Nevertheless, limited progress has been made due to lack of comprehensive research program on SCYLV based on RNAi technique. In order to show improvement and to propose future strategies for the feasibility of the RNAi technique to cope SCYLV, genome-wide consensus sequences of SCYLV were analyzed through GenBank. The coverage rates of every consensus sequence in SCYLV isolates were calculated to evaluate their practicability. Our analysis showed that single consensus sequence from SCYLV could not work well for RNAi based sugarcane breeding programs. This may be due to high mutation rate and continuous recombination within and between various viral strains. Alternative multi-target RNAi strategy is suggested to combat several strains of the viruses and to reduce the silencing escape. The multi-target small interfering RNA (siRNA) can be used together to construct RNAi plant expression plasmid, and to transform sugarcane tissues to develop new sugarcane varieties resistant to SCYLV.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aphid; Genetic resistance; Phylogeny; Polerovirus; RNAi transformation

Mesh:

Year:  2018        PMID: 29730517     DOI: 10.1016/j.micpath.2018.05.001

Source DB:  PubMed          Journal:  Microb Pathog        ISSN: 0882-4010            Impact factor:   3.738


  4 in total

1.  Sugarcane-Peanut Intercropping System Enhances Bacteria Abundance, Diversity, and Sugarcane Parameters in Rhizospheric and Bulk Soils.

Authors:  Ziqin Pang; Nyumah Fallah; Peiying Weng; Yongmei Zhou; Xiumei Tang; Muhammad Tayyab; Yueming Liu; Qiang Liu; Yijie Xiao; Chaohua Hu; Yongjun Kan; Wenxiong Lin; Zhaonian Yuan
Journal:  Front Microbiol       Date:  2022-02-17       Impact factor: 5.640

2.  Depth-dependent influence of biochar application on the abundance and community structure of diazotrophic under sugarcane growth.

Authors:  Nyumah Fallah; Ziqi Yang; Muhammad Tayyab; Caifang Zhang; Ahmad Yusuf Abubakar; Zhaoli Lin; Ziqin Pang; Americ Allison; Hua Zhang
Journal:  PLoS One       Date:  2021-07-19       Impact factor: 3.240

3.  Metagenomic Analysis Exploring Taxonomic and Functional Diversity of Soil Microbial Communities in Sugarcane Fields Applied with Organic Fertilizer.

Authors:  Ruoyu Li; Ziqin Pang; Yongmei Zhou; Nyumah Fallah; Chaohua Hu; Wenxiong Lin; Zhaonian Yuan
Journal:  Biomed Res Int       Date:  2020-10-20       Impact factor: 3.411

4.  Filtered mud improves sugarcane growth and modifies the functional abundance and structure of soil microbial populations.

Authors:  Ahmad Yusuf Abubakar; Muhammed Mustapha Ibrahim; Caifang Zhang; Muhammad Tayyab; Nyumah Fallah; Ziqi Yang; Ziqin Pang; Hua Zhang
Journal:  PeerJ       Date:  2022-01-13       Impact factor: 2.984

  4 in total

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