Genome-wide analysis of cytochrome P450 genes in Citrus clementina and characterization of a CYP gene encoding f lavonoid 3′-hydroxylase

Cytochrome P450s(CYPs)are the largest family of enzymes in plant and play multifarious roles in development and defense but the available information about the CYP superfamily in citrus is very limited.Here we provide a comprehensive genome-wide analysis of the CYP superfamily in Citrus clementina genome,identifying 301 CYP genes grouped into ten clans and 49 families.The characteristics of both gene structures and motif compositions strongly supported the reliability of the phylogenetic relationship.Duplication analysis indicated that tandem duplication was the major driving force of expansion for this superfamily.Promoter analysis revealed numerous cis-acting elements related to various responsiveness.RNA-seq data elucidated their expression patterns in citrus fruit peel both during development and in response to UV-B.Furthermore,we characterize a UV-B-induced CYP gene(Ciclev10019637m,designated CitF3′H)as a f lavonoid 3-hydroxylase for the first time.CitF3 H catalyzed numerous f lavonoids and favored naringenin in yeast assays.Virusinduced silencing of CitF3′ H in citrus seedlings significantly reduced the levels of 3′-hydroxylated f lavonoids and their derivatives.These results together with the endoplasmic reticulum-localization of CitF3 H in plant suggest that this enzyme is responsible for the biosynthesis of 3-hydroxylated f lavonoids in citrus.Taken together,our findings provide extensive information about the CYP superfamily in citrus and contribute to further functional verification.

Optimal integration of solar home systems and appliance scheduling for residential homes under severe national load shedding

In developing countries like South Africa,users experienced more than 1030 hours of load shedding outages in just the first half of 2023 due to inadequate power supply from the national grid.Residential homes that cannot afford to take actions to mitigate the challenges of load shedding are severely inconvenienced as they have to reschedule their demand involuntarily.This study presents optimal strategies to guide households in determining suitable scheduling and sizing solutions for solar home systems to mitigate the inconvenience experienced by residents due to load shedding.To start with,we predict the load shedding stages that are used as input for the optimal strategies by using the K-Nearest Neighbour(KNN)algorithm.Based on an accurate forecast of the future load shedding patterns,we formulate the residents’inconvenience and the loss of power supply probability during load shedding as the objective function.When solving the multi-objective optimisation problem,four different strategies to fight against load shedding are identified,namely(1)optimal home appliance scheduling(HAS)under load shedding;(2)optimal HAS supported by solar panels;(3)optimal HAS supported by batteries,and(4)optimal HAS supported by the solar home system with both solar panels and batteries.Among these strategies,appliance scheduling with an optimally sized 9.6 kWh battery and a 2.74 kWp panel array of five 550 Wp panels,eliminates the loss of power supply probability and reduces the inconvenience by 92%when tested under the South African load shedding cases in 2023.