First report of Sugarcane Streak Mosaic Virus (SCSMV) in Côte d'Ivoire
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PROVIDER: PRJEB32729 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:First occurrence of Sugarcane Streak Mosaic Virus (SCSMV) infecting Sugarcane in Côte d’Ivoire, West Africa
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Project description:Characterization of sixteen Achromobacter xylosoxidans phages from Abidjan, Côte d’Ivoire, isolated on a single clinical strain
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Project description:The molecular mechanisms underlying the development and progression of sugarcane mosaic virus (SCMV) infection in maize are poorly understood. A transcript profiling study based on maize unigene-microarrays was conducted to identify genes associated with SCMV resistance in the near isogenic line (NIL) pair F7+ (SCMV resistant) and F7 (susceptible). Four comparisons were conducted, which is addressing constitutive genetic discrepancy (Non-infected F7 vs. Non-infected F7+), inducible genetic discrepancy (Infected F7 vs. Infected F7+), compatible reaction (Non-infected F7 vs. Infected F7), and incompatible reaction (Non-infected F7+ vs. Infected F7+).
2005-01-21 | E-MEXP-253 | biostudies-arrayexpress
Project description:Sugarcane streak mosaic virus (SCSMV; genus Poacevirus, family Potyviridae) is a major causal agent of sugarcane mosaic disease in Asia. A survey of SCSMV was conducted in cultivated fields in Khuzestan province, southwestern Iran. Sixty-five sugarcane leaf samples showing mosaic symptoms were collected and investigated by RT-PCR. Almost one-fourth of the samples were found to be infected by SCSMV. To verify molecular variability, 12 SCSMV isolates were sequenced and analyzed by comparing partial NIb-CP gene sequences. The nucleotide identity among Iranian isolates was 83.1-99.8%, indicating high nucleotide variability, while amino acid identity was 95.2-100%, which suggesting selection for amino acid conservation. They shared nucleotide identities of 76.2-99.1% with those of other SCSMV isolates available in GenBank, the highest with isolates from Pakistan (PAK), India (IND671) and China (M117, KT257289). Further analysis was conducted based on complete CI coding region to gain more insight into the phylogenetic relationships of Iranian SCSMV compared to those from other Asian countries. Iranian isolates shared identities of 79.8-89.0% (nucleotide) and 94.8-98.6% (amino acid) with those from other geographical regions in the CI gene. The highest nucleotide identity of Iranian isolates was with isolates PAK (Pakistan), M121 (JQ975096, China) and IND671 (India), respectively. The phylogenetic trees (based on CI and NIb-CP) revealed the segregation of SCSMV isolates into two major divergent evolutionary lineages that reflect geographical origin of the isolates (with minor exception). Phylogenetic analyses grouped Iranian SCSMV isolates together with isolates from Pakistan, India and just one Chinese isolate in group II. Biological results showed that Iranian SCSMV isolates infect sugarcane, sorghum, maize and some wild grasses, causing mosaic symptoms on the leaves.
| S-EPMC6111955 | biostudies-literature
Project description:Sugarcane streak mosaic virus (SCSMV) belonging to Poacevirus, is a causative virus of mosaic disease in sugarcane in many Asian countries with substantial genomic variation. Although the virus infects the crop with Sugarcane mosaic virus (SCMV) a Potyvirus, it predominates over SCMV in spread as well as titre. We have taken up detailed studies to identify the functional activity of viral suppressors of SCSMV genome. Transient expression assay was performed with SCSMV-P1 and HC-Pro genes in the model plant Nicotiana tabacum to establish suppressor role of these genes. The plasmid constructs of both the genes were co-infiltrated with the reporter green fluorescent protein (GFP) and the suppressor activity was measured as enhancement in the GFP fluorescence. Further, the phenotypic expressions were validated by respective gene expression through semi quantitative and qRT-PCR. In the P1 co-infiltrated GFP leaves, suppression in the PTGS mechanism took place that allowed a long term expression of GFP. However, GFP co-infiltrated with HC-Pro did not sustain the GFP expression level for a prolonged period and the expression level was close to GFP control. The study concluded that unlike in other Potyviridae genera, P1 gene of SCSMV is playing the role of RNA silencing suppressor. This study helps in unveiling a new and promising way to understand the regulatory pathway in the host at the time of viral infection. Targeting the P1 gene of SCSMV through RNA silencing approach will be a viable strategy to develop mosaic resistant transgenic sugarcane varieties as they are directly involved in counter defence against the host.
| S-EPMC7459032 | biostudies-literature
Project description:Using nylon filter arrays, we analyzed the expression profile of 1536 expressed sequence tags (ESTs) of sugarcane (Saccharum sp.) exposed to the phytormone methyl jasmonate (MeJA) for 0-12 h. 26 ESTs were differentially expressed, including novel genes and also genes that had not previously been reported as being MeJA-inducible. Data are for two independent experiments. Keywords = sugarcane Keywords = methyl jasmonate Keywords = nylon arrays
2010-10-08 | E-GEOD-1546 | biostudies-arrayexpress
Project description:Using nylon filter arrays, we analyzed the expression profile of 1536 expressed sequence tags (ESTs) of sugarcane (Saccharum sp.) exposed to the phytormone methyl jasmonate (MeJA) for 0-12 h. 26 ESTs were differentially expressed, including novel genes and also genes that had not previously been reported as being MeJA-inducible. Data are for two independent experiments. Keywords = sugarcane Keywords = methyl jasmonate Keywords = nylon arrays Keywords: time-course
2004-07-23 | GSE1546 | GEO
Project description:In birds and mammals, all mesoderm cells are generated from the primitive streak. Nascent mesoderm cells contain unique dorso-ventral (D/V) identities depending on their relative ingression position along the streak. Molecular mechanisms controlling this initial phase of mesoderm diversification are not well-understood. Using chick model, we generated high-quality transcriptomic datasets of different streak regions and analyzed their molecular heterogeneity.
2010-07-29 | GSE22230 | GEO