Understanding the impact of irrigation and fertilizer on rabbiteye blueberry (Vaccinium virgatum) physiology is necessary for its precision planting. Here, we applied varied irrigation and fertilizer under completely randomized experimental design to see its impact on the physiological characteristics and bush growth of rabbiteye blueberries. A comprehensive evaluation of the membership function was used to establish the best water–fertilizer coupling regimes. Rabbiteye blueberry enhanced the net photosynthetic rate, stomatal conductance and transpiration rate of leaf and improved its photosynthetic capacity at maximum level of irrigation water and fertilizer application (F3W4). The high fertilizer–medium water treatment (F3W3) increased leaf-soluble protein contents. The medium fertilizer–medium water treatment (F2W3, F2W2) increased leaf- soluble sugar, superoxide dismutase, and chlorophyll contents; decreased the malondialdehyde content; and enhanced leaf resistance and metabolism. It also promoted the growth of flower buds and new shoots. Combined membership function and cluster analyses revealed that the optimal water and fertilizer conditions for promoting rabbiteye blueberry plant growth were the medium fertilizer–medium water [(NH4)2SO4:Ca(H2PO4)2:K2SO4 at 59:10:20 g plant-1; 2.5 L water plant-1], medium fertilizer–medium-high water [(NH4)2SO4:Ca(H2PO4)2:K2SO4 at 59:10:20 g plant-1; 3.75 L water plant-1], and high fertilizer–medium-high water [(NH4)2SO4:Ca(H2PO4)2:K2SO4 at 118:20:40 g plant-1; 3.75 L water plant-1] treatments. The findings of this study could be used in improving the precision and efficacy of rabbiteye blueberry planting in Guizhou, China. Such an approach can increase the productivity and profitability for local fruit farmers.
Background Blueberry is one of the most important fruit crops worldwide. Anthocyanin is an important secondary metabolites that affects the appearance and nutritive quality of blueberries. However, few studies have focused on the molecular mechanism underlying anthocyanin accumulation induced by light intensity in blueberries. Results The metabolic analysis revealed that there were 134 significantly changed metabolites in the natural light compared to the control, and flavone, flavonol, and anthocyanins were the most significantly increased. Transcriptome analysis found 6 candidate genes for the anthocyanin synthesis pathway. Quantitative reverse transcription PCR (qRT-PCR) results confirmed changes in the expression levels of genes encoding metabolites involved in the flavonoid synthesis pathways. The flavonoid metabolic flux in the light intensity-treatment increased the accumulation of delphinidin-3-O-arabinoside compared to under the shading-treatment. Furthermore, we performed qRT-PCR analysis of anthocyanin biosynthesis genes and predicted that the gene of VcF3’5’H4 may be a candidate gene for anthocyanin accumulation and is highly expressed in light intensity-treated fruit. Through the co-expression analysis of transcription factors and anthocyanin synthesis pathway genes, we found that the VcbHLH004 gene may regulate VcF3’5’H4, and then we transformed VcbHLH004 heterologously into tomato to verify its function. Conclusion These results provide novel insights into light intensity regulation of blueberry anthocyanin accumulation and represent a valuable data set to guide future functional studies and blueberry breeding.
To adapt to a wide range of nutritional and environmental changes, cells must adjust their gene expression profiles. This process is completed by the frequent transcription and rapid degradation of mRNA. mRNA decay is initiated by a series of endo- and exoribonucleases. These enzymes leave behind 2- to 5-nt-long oligoribonucleotides termed "nanoRNAs" that are degraded by specific nanoRNases; the degradation of nanoRNA is essential because nanoRNA can mediate the priming of transcription initiation that is harmful for the cell via an unknown mechanism. Identified nanoRNases include Orn in E. coli, NrnA and NrnB in B. subtilis, and NrnC in Bartonella. Even though these nanoRNases can degrade nanoRNA specifically into mononucleotides, the biochemical features, structural features and functional mechanisms of these enzymes are different. Sequence analysis has identified homologs of these nanoRNases in different bacteria, including Gammaproteobacteria, Betaproteobacteria, Alphaproteobacteria, Firmicutes and Cyanobacteria. However, there are several bacteria, such as those belonging to the class Thermolithobacteria, that do not have homologs of these nanoRNases. In this paper, the source of nanoRNA, the features of different kinds of nanoRNases and the distribution of these enzymes in prokaryotes are described in detail.
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