| Literature DB >> 25071806 |
Venkategowda Ramegowda1, Kirankumar S Mysore2, Muthappa Senthil-Kumar3.
Abstract
Virus-induced gene silencing (VIGS) is an effective tool for gene function analysis in plants. Over the last decade, VIGS has been successfully used as both a forward and reverse genetics technique for gene function analysis in various model plants, as well as crop plants. With the increased identification of differentially expressed genes under various abiotic stresses through high-throughput transcript profiling, the application of VIGS is expected to be important in the future for functional characterization of a large number of genes. In the recent past, VIGS was proven to be an elegant tool for functional characterization of genes associated with abiotic stress responses. In this review, we provide an overview of how VIGS is used in different crop species to characterize genes associated with drought-, salt-, oxidative- and nutrient-deficiency-stresses. We describe the examples from studies where abiotic stress related genes are characterized using VIGS. In addition, we describe the major advantages of VIGS over other currently available functional genomics tools. We also summarize the recent improvements, limitations and future prospects of using VIGS as a tool for studying plant responses to abiotic stresses.Entities:
Keywords: abiotic stress; functional genomics of crop plants; plant viruses; post-transcriptional gene silencing; virus-induced gene silencing
Year: 2014 PMID: 25071806 PMCID: PMC4085877 DOI: 10.3389/fpls.2014.00323
Source DB: PubMed Journal: Front Plant Sci ISSN: 1664-462X Impact factor: 5.753
List of abiotic-stress-related genes silenced in crop plants using VIGS.
| BSMV | Wheat | Drought | Increased relative water content (RWC), increased water use efficiency (WUE), reduced stomatal conductance, reduced transpiration rate and higher plant vigor | Manmathan et al., | |
| Drought | Wilted and curled leaves under severe drought, higher water loss rate (WLR), decreased RWC and survival rate, lower free proline content, and increased membrane leakage | Kang et al., | |||
| High light-induced photo-inhibition | Inhibition of photosynthesis, reduced non-photochemical quenching, increased membrane damage, anthocyanin and malondialdehyde (MDA) accumulation | Yuan-Ge et al., | |||
| Wild emmer wheat | Drought | Decreased chlorophyll content and increased MDA | Kuzuoglu-Ozturk et al., | ||
| Barley | Drought | Higher WLR in detached leaves, less survival, and retarded growth with reduced height and less total dry weight | Liang et al., | ||
| Drought | Less survival, retarded growth and reduced total dry weight | Liang et al., | |||
| BPMV | Soybean | Iron deficiency | Reduced chlorosis, increased chlorophyll, stunting and shorter internode | Atwood et al., | |
| PEBV | Pea | Arbuscular- mycorrhizal- symbiosis-associated Pi uptake | Less development of arbuscules and vesicles in the root cortex of silenced plants | Grønlund et al., | |
| Arbuscular-mycorrhizal-symbiosis-associated Pi uptake | Reduced phosphate uptake in new roots | Grønlund et al., | |||
| Oxidative stress | Pale-green phenotype, reduction in the following: Mg chelatase activity, 5-aminolevulinic acid synthesis, chlorophyll, carotenoid pigment, photosynthesis and expression of tetrapyrrole biosynthesis pathway genes and increased accumulation of ROS | Luo et al., | |||
| TRV | Tomato | Drought or oxidative stress | Leaf wilting, reduced osmotic adjustment and cell viability, accumulation of higher superoxide radicals | Senthil-Kumar and Udayakumar, | |
| Drought or ABA or oxidative stress | Reduced survival, higher water loss in detached leaves, increased stomatal closure in response to ABA and increased H2O2 production in presence of ABA | Li et al., | |||
| Drought | Early leaf wilting | Virk et al., | |||
| Chili pepper | Salt or osmotic stress | Reduced chlorophyll content and increased lipid peroxidation | Choi and Hwang, | ||
| Salt or osmotic stress | Severe bleaching of leaf discs, loss of chlorophyll and increased lipid peroxidation | Lee et al., | |||
| Drought | Less water loss and lipid peroxidation | Lim and Lee, | |||
| Rose | Dehydration | Reduced fresh weight, petal width and recovery from dehydration | Dai et al., | ||
| Dehydration | Reduced cell expansion during recovery | Jiang et al., | |||
| Dehydration | Reduced ethylene production and cell density decreased | Liu et al., | |||
| Dehydration | Inhibition of petal expansion and cell expansion | Liu et al., | |||
| TYLCCNV | Tomato | Oxidative or drought or salt stress | Reduced chlorophyll, leaf wilting, curled leaves and reduced RWC under drought; no further growth with wilted leaves and reduced chlorophyll under salt stress | Guo et al., | |
| Nutrient deficiency | Reduced ferric chelate reductase activity in roots | He et al., |
Figure 1Model showing the application of VIGS in understanding the mechanisms of abiotic stress tolerance and crop improvement. VIGS can be used as a powerful reverse genetic tool for functional analysis of abiotic-stress-responsive genes identified from cultivars, land races and their wild relatives though transcriptome analysis and comparative analysis of molecular marker, proteome and metabolite data. VIGS can also be used for a high-throughput forward genetics screening. This is achieved by cloning the cDNA libraries generated from abiotic-stressed plants directly into a VIGS vector, inoculating them on target plants and analyzing the knockdown plants under abiotic stress. Along with target-gene-silenced plants, vector control and visible marker gene (like phytoene desaturase, PDS or magnesium protoporphyrin chelatase subunit H, ChlH)-silenced plants showing a photo-bleaching/yellowing phenotype will aid in identifying the time of initiation and duration of gene silencing. Silencing of a gene known to be involved in the specific abiotic stress tolerance that leads to susceptibility under stress (positive controls) is useful for coinciding abiotic stress imposition at the time of target gene silencing. In addition, high-throughput stress imposition and stress effect quantification methods can be used to screen large numbers of gene-silenced plants (Ramegowda et al., 2013). Candidate genes identified from the screen can be further confirmed by generating stable RNAi or overexpression transgenic lines. The trait can then be transferred to elite cultivars through breeding or generating transgenics in amenable cultivars to develop stress-tolerant crop plants.