Project description:MicroRNAs (miRNAs) are a class of endogenous small RNAs that play important roles in growth, development, and environmental stress response processes in plants. Ulmus pumila is a typical deciduous broadleaved tree species of north temperate, and is widely distributed in central and northern Asia, which has important economic and ecological value. With the spread and aggravate of soil salinisation, salt stress has become a major abiotic stress that highly affects the normal growth and development of U. pumila. However, to date, no investigation into the influence of salt stress on U. pumila miRNAs has been reported. To identify miRNAs and predict their target mRNA genes under salt stress, three small RNA libraries were generated and sequenced from CK (without salt stress), LSS (light salt stress for a short time) and MSL (medium-heavy salt stress for a long time) roots of U. pumila seedlings. Through integrative analysis, 245 conserved miRNAs representing 30 families and 64 novel miRNAs were identified, of which 89 exhibited altered expression level under salt stress, and 232 potential targets for the miRNAs were predicted and annotated in U. pumila. The expressions of six differentially expressed miRNAs were validated by qRT-PCR. These salt responsive miRNAs may play crucial roles in U. pumila defense against salt stress, and our miRNA data provides valuable information regarding further functional analysis of miRNAs involved in salt tolerance of U. pumila and other forest tree species.
Project description:Current understanding of floral developmental genetics comes primarily from the core-eudicot model Arabidopsis thaliana. Here we explore the floral transcriptome of the basal angiosperm, Nuphar advena (water lily), for insights into the ancestral developmental program of flowers. Several thousand Nuphar genes with significantly up-regulated floral expression are identified, including homologs of the well-known ABCE floral regulators. However, strong similarities in the expression profiles of different organ categories contradict the organ-specific spatial expression domains predicted by the ABCE model. The broadly overlapping transcriptional programs observed among floral organs in Nuphar are shared with the magnoliid Persea americana (avocado), supporting the inference that this is the ancestral condition in angiosperms. Consequently, the predominantly organ-specific transcriptional programs that characterize Arabidopsis flowers (and perhaps other eudicots) are derived. The transcriptional landscapes in Arabidopsis correlate with a shift toward morphologically distinct floral organs, including differentiated sepals and petals, and a perianth distinct from stamens and carpels. In contrast to most eudicots, perianth organs are weakly differentiated in Nuphar and Persea, with staminodial intermediates between stamens and perianth in Nuphar, and between stamens and carpels in Persea. Our findings suggest that genetic regulation of more spatially discrete transcriptional programs underlies the evolution of floral morphology.
Project description:Current understanding of floral developmental genetics comes primarily from the core-eudicot model Arabidopsis thaliana. Here we explore the floral transcriptome of the basal angiosperm, Nuphar advena (water lily), for insights into the ancestral developmental program of flowers. Several thousand Nuphar genes with significantly up-regulated floral expression are identified, including homologs of the well-known ABCE floral regulators. However, strong similarities in the expression profiles of different organ categories contradict the organ-specific spatial expression domains predicted by the ABCE model. The broadly overlapping transcriptional programs observed among floral organs in Nuphar are shared with the magnoliid Persea americana (avocado), supporting the inference that this is the ancestral condition in angiosperms. Consequently, the predominantly organ-specific transcriptional programs that characterize Arabidopsis flowers (and perhaps other eudicots) are derived. The transcriptional landscapes in Arabidopsis correlate with a shift toward morphologically distinct floral organs, including differentiated sepals and petals, and a perianth distinct from stamens and carpels. In contrast to most eudicots, perianth organs are weakly differentiated in Nuphar and Persea, with staminodial intermediates between stamens and perianth in Nuphar, and between stamens and carpels in Persea. Our findings suggest that genetic regulation of more spatially discrete transcriptional programs underlies the evolution of floral morphology. Custom microarrays targeting 6,220 unique Nuphar floral transcripts were used to measure expression levels in eight tissues using an interwoven double-loop design for 16 arrays.
Project description:In this study, the genes that encode AP2/ERF transcription factors, namely OpERF1 to OpERF5, were isolated from HR of O. pumila. Phylogenetic analysis of AP2/ERF protein sequences suggested the close evolutionary relationship of OpERF1 with stress-responsive ERF factors in Arabidopsis and of OpERF2 with ERF factors reported to regulate alkaloid production, such as ORCA3 in Catharanthus roseus, NIC2-locus ERFs in tobacco, and JRE4 in tomato. We generated the HR lines of O. pumila, ERF1i and ERF2i, in which the expression of OpERF1 and OpERF2, respectively, was suppressed using RNA interference technique. The transcriptome and metabolome of these suppressed HR were analyzed for functional characterization of OpERF1 and OpERF2.
Project description:This dataset relates to a proteomic analysis of Ave1 homologs in the fungal pathogens Venturia pirina and Venturia inequalis. These species are the cause of scab disease on European pear (Pyrus communis) and apple (Malus pumila). Sample preparation for both V. pirina and V. inequalis was designed to focus on effectors and eliminate host proteins. To do this the fungi were grown in vitro, on cellophane sheets mimicing the growth habit in infected leaves and proteins were extracted using a gentle washing procedure designed to avoid cell wall breakage. LC-MS/MS data was queried against a protein database generated from gene predictions obtained from whole genome sequences of V. pirina and V. inequalis.