Project description:Cassava mosaic disease caused by cassava begomoviruses is the most serious disease of cassava in Africa. However, the molecular mechanisms leading to symptom development of infected cassava plants are poorly understood. Here a high throughput digital gene expression profiling (DGE) based on Illumina Solexa sequencing technology was used to investigate the global transcriptional response of cassava to the African cassava mosaic virus infection. Results showed that 3,210 genes were differentially expressed in virus-infected cassava leaves. Gene Ontology (GO) term and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis indicated that photosynthesis related genes were most affected, which was consistent with the chlorotic symptom on the infected leaves. The upregulation of chlorophyll degradation genes, e.g. the genes encoding chlorophyllase and pheophorbide a oxygenase, as well as the downregulation of the major apoproteins genes in light harvesting complex II (LHCII) identified by the DGE analysis were confirmed by qRT-PCR. Together with the reduction of chlorophyll b content and fewer grana stacks in the infected leaf cells, this study reveals that the degradation of chlorophyll plays an important role during ACMV symptom development for the first time. Meanwhile, we believe that the non-lethal effect on photosystem is a trick for virus to avoid fierce host immune response and a result of the long-term co-evolution. This study will provide a road map for future investigations into virus symptom development. ACMV-infected cassava leaves mixture from three independent replicates were collected for RNA extractions at 20 dpi. Control samples were harvested from empty agrobacteria treated leaves incubated under the same conditions.
Project description:microRNAs can play a crucial role in stress response in plants, including biotic stress. Some miRNAs are known to respond to bacterial infection. This work has addressed the role of miRNAs in Manihot esculenta (cassava)-Xanthomonas axonopodis pv. manihotis (Xam) interaction. Illumina sequencing was used for analyzing small RNA libraries from cassava tissue infected and non-infected with Xam. Cassava variety MBRA685 (resistant to Xam-CIO151) Six-week-old plants were inoculated with 36h-old cultures of the aggressive Xanthomonas axonopodis pv. manihotis strain CIO151 in both leaves and stems.
Project description:Cassava mosaic disease caused by cassava begomoviruses is the most serious disease of cassava in Africa. However, the molecular mechanisms leading to symptom development of infected cassava plants are poorly understood. Here a high throughput digital gene expression profiling (DGE) based on Illumina Solexa sequencing technology was used to investigate the global transcriptional response of cassava to the African cassava mosaic virus infection. Results showed that 3,210 genes were differentially expressed in virus-infected cassava leaves. Gene Ontology (GO) term and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis indicated that photosynthesis related genes were most affected, which was consistent with the chlorotic symptom on the infected leaves. The upregulation of chlorophyll degradation genes, e.g. the genes encoding chlorophyllase and pheophorbide a oxygenase, as well as the downregulation of the major apoproteins genes in light harvesting complex II (LHCII) identified by the DGE analysis were confirmed by qRT-PCR. Together with the reduction of chlorophyll b content and fewer grana stacks in the infected leaf cells, this study reveals that the degradation of chlorophyll plays an important role during ACMV symptom development for the first time. Meanwhile, we believe that the non-lethal effect on photosystem is a trick for virus to avoid fierce host immune response and a result of the long-term co-evolution. This study will provide a road map for future investigations into virus symptom development.
Project description:Analysis of transcriptional response of virus-infected cassava and identification of putative sources of resistance for cassava brown streak disease
Project description:We reported the small RNA profiles of disease free and SLCMV infected leaves of susceptible and tolerant genotypes of cassava. The sRNA data generated through high throughput small RNA sequencing revealed critical regulatory role of host and pathogen derived small RNAs during SLCMV infection.
Project description:microRNAs can play a crucial role in stress response in plants, including biotic stress. Some miRNAs are known to respond to bacterial infection. This work has addressed the role of miRNAs in Manihot esculenta (cassava)-Xanthomonas axonopodis pv. manihotis (Xam) interaction. Illumina sequencing was used for analyzing small RNA libraries from cassava tissue infected and non-infected with Xam. Cassava variety MBRA685 (resistant to Xam-CIO151) Six-week-old plants were inoculated with 36h-old cultures of the aggressive Xanthomonas axonopodis pv. manihotis strain CIO151 in both leaves and stems. Leaves were inoculated by piercing six holes in the mesophyll and placing a 5µL drop of a liquid Xam-MgCl2 culture calibrated at OD600nm = 0.002 (1 x108cfu/ml). Two leaflets per leaf and three leaves per plant were inoculated. Stems were inoculated by puncture in the stems as described previously (24). At least three plants per collection time were inoculated. Leaves and stems were collected from inoculated plants (0 hours post inoculation -hpi, 6hpi, 24hpi, 2 days post-inoculation -dpi, 5dpi, 7dpi and 15dpi) and non-inoculated plants. RNA extractions were made using a LiCl-acid phenol:chloroform method.
Project description:Analysis of transcriptional response of virus-infected cassava and identification of putative sources of resistance for cassava brown streak disease transcriptome analysis of two varieties of cassava that differ in their level of resistance to cassava brown streak virus.
Project description:Next-generation sequencing survey of maize plants exhibiting symptoms of maize lethal necrosis, collected from Kenyan and Ethiopian farmers in August 2014. Up to three samples per site were sequenced, and sites were separated by at least 10km. Data contains maize transcriptome and a variety of RNA viruses.