Project description:RNASeq of roots from two genotypes of Arabidopsis thaliana plants, Col-0 and myb36-2 grown axenically or with a 41 member bacterial Synthetic Community (SynCom) to explore the interaction between the root diffusion barriers and the root microbiome.
Project description:This study aimed at investigating the effect in Grapevine of two different rootstocks (1103 Paulsen - P - and Mgt 101-14 - M) in comparison with not grafted plants - F - on the miRNome of berry skin in Pinot noir (clone Entav 115), to explore the influence of rootstock-scion interaction on grape quality. 7-year old grapevine plants were grown in 70-liters, in an open field arranged in a randomized block design with 9 replicates for each root system. The plants were maintained in the same agronomic conditions: all the pots were fertilized and were abundantly irrigated. Berry samples (15 per plant, 3 plants per replicate), were collected at two different developmental stage: veraison (1) and maturation (2), and dissected to separate skin tissues. Total RNA was extracted and DNase treated, small RNA libraries were prepared using the TruSeq Small RNA Sample Preparation Kit (Illumina®), following all manufacturers' instructions. Eighteen bar-coded small RNA libraries were constructed starting from 1 µg of total RNAs.
Project description:Protein expression from berry skin of four different red grape biotypes was compared at a proteome-wide level by bottom-up shotgun proteomics, label free quantification and MaxQuant-assisted computational analysis. Red grapes were from a purebred Vitis vinifera (Aglianico cv.), a V. vinifera (local Sciascinoso cv.) grafted onto an American rootstock, an interspecific hybrid (V. vinifera × V. labrusca, Isabel) and an uncharacterized red grape with some hybrid lineage, as demonstrated by the presence of relatively high amounts of anthocyanidin 3,5-O-diglucosides. The aim was assessing the differences among red grape biotypes at a protein expression levels, also addressing the possible effect of the grafting on the phenotypic expression of some key metabolic enzymes in grape berries.
Project description:In this study, the proteomic responses of grape rootstock SO4 contrasting in different waterlogging tolerance were comparatively assayed. Using the tandem mass tags (TMT) labeling method, a total of 5578 grape proteins were identified.
Project description:This study aimed at investigating the effect in Grapevine of two different rootstocks (1103 Paulsen - P - and Mgt 101-14 - M) in comparison with not grafted plants - F - on the transcriptome of berry skin in Pinot noir (clone Entav 115), to explore the influence of rootstock-scion interaction on grape quality. 7-year old grapevine plants were grown in 70-liters, in an open field arranged in a randomized block design with 9 replicates for each root system. The plants were maintained in the same agronomic conditions: all the pots were fertilized and were abundantly irrigated. Berry samples (15 per plant, 3 plants per replicate), were collected at two different developmental stage: veraison (1) and maturation (2), and dissected to separate skin tissues. Total RNA was extracted from berry skins and DNase treated. 18 mRNA seq libraries were prepared, starting from total RNA (1 µg), using TruSeq RNA sample preparation kit (Illumina), according to manufacturers’ instructions. Libraries were quantified through qRT-PCR, as recommended by the protocol, and single-end sequenced for 100 bases on an Illumina Genome Analyzer (GAIIx).
Project description:Metagenomics reveal the effect of Bt-transgene integration on root-nodulation and associated bacterial community structure of Bt-transgenic chickpea
Project description:Alkaline stress has serious negative effects on citrus production. Ziyang xiangcheng (Citrus junos Sieb. ex Tanaka) (Cj) has been reported to be a rootstock that is tolerant to alkaline stress and iron deficiency. Poncirus trifoliata (Poncirus trifoliata (L.) Raf.) (Pt), the most widely used rootstock in China, is sensitive to alkaline stress. To investigate the molecular mechanism underlying the tolerance of Cj to alkaline stress, next-generation sequencing was employed to profile the root transcriptomes and small RNAs of Cj and Pt seedlings which were cultured in nutrient solution with three gradient pH. This two-regulation level data set provides a system-level view of molecular events with precise resolution. The data suggest that the auxin pathway may play a central role in inhibitory effect of alkaline stress on root growth, and the regulation of auxin homeostasis under alkaline stress was important for citrus adapting to alkaline stress. Moreover, the JA pathway shown an opposite response to alkaline stress in Cj and Pt may contributes to the differentials of root system architecture and iron deficiency tolerance between Cj and Pt. The data set provides a wealth of genomic resources and new clues for further studying the mechanisms underlying Cj that resist alkaline stress.
Project description:Grapevine is a perennial crop often cultivated by grafting a scion cultivar on a suitable rootstock. Rootstocks influence scions, particularly with regard to water uptake and vigor. Therefore, one of the possibilities to adapt viticulture to the extended drought stress periods is to select rootstocks conferring increased tolerance to drought. However, the molecular mechanisms associated with the ability of rootstock/scion combination to influence grape berry metabolism under drought stress are still poorly understood. The transcriptomic changes induced by drought stress in grape berries (cv. Pinot noir) from vines grafted on either 110R (drought tolerant) or 125AA (drought sensitive) rootstock were compared. The experiments were conducted in the vineyard for two years and two grape berry developmental stages (50% and 100 % veraison. The genome-wide microarray approach showed that water stress strongly impacts gene expression in the berries, through ontology categories that cover cell wall metabolism, primary and secondary metabolism, signalling, stress, and hormones, and that some of these effects strongly depend on the rootstock genotype. Indeed, under drought stress, berries from vines grafted on 110R displayed a different transcriptional response compared to 125AA concerning genes related to jasmonate, phenylpropanoid metabolism and PR-proteins. The data also suggests a link between jasmonate and secondary metabolism in water-stressed berries. Overall, genes related to secondary metabolism and jasmonate are more induced and/or less repressed by drought stress in the berries grafted on the drought-sensitive rootstock 125AA. These rootstock-dependent gene expression changes are relevant for berry composition and sensory properties.
Project description:The biological function of the plant-microbiome system is the result of contributions from the host plant and microbiome members. The Populus root microbiome is a diverse community that has high abundance of β- and γ-Proteobacteria, both classes which include multiple plant-growth promoting representatives. To understand the contribution of individual microbiome members in a community, we studied the function of a simplified community consisting of Pseudomonas and Burkholderia bacterial strains isolated from Populus hosts and inoculated on axenic Populus cutting in controlled laboratory conditions. Both strains increased lateral root formation and root hair production in Arabidopsis plate assays and are predicted to encode for different functions related to growth and plant growth promotion in Populus hosts. Inoculation individually, with either bacterial isolate, increased root growth relative to uninoculated controls, and while root area was increased in mixed inoculation, the interaction term was insignificant indicating additive effects of root phenotype. Complementary data including photosynthetic efficiency, whole-transcriptome gene expression and GC-MS metabolite expression data in individual and mixed inoculated treatments indicate that the effects of these bacterial strains are unique and additive. These results suggest that the function of a microbiome community may be predicted from the additive functions of the individual members.