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Rapid industrialization and population growth cause severe water pollution and increased water demand. The use of FeCu nanoparticles (nanoFeCu) in treating sewage has been proven to be a space-efficient method. The objective of this work is to develop a recurrent neural network (RNN) model to estimate the performance of immobilized nanoFeCu in sewage treatment, thereby easing the monitoring and forecasting of sewage quality. In this work, sewage data was collected from a local sewage treatment plant. pH, nitrate, nitrite, and ammonia were used as the inputs. One-to-one and three-to-three RNN architectures were developed, optimized, and analyzed. The result showed that the one-to-one model predicted all four inputs with good accuracy, where R2 was found within a range of 0.87 to 0.98. However, the stability of the one-to-one model was not as good as the three-to-three model, as the inputs were chemically and statistically correlated in the later model. The best three-to-three model was developed by a single layer with 10 neurons and an average R2 of 0.91. In conclusion, this research provides data support for designing the neural network prediction model for sewage and provides positive significance for the exploration of smart sewage treatment plants.

Sesuvium portulacastrum L., a member of the family Aizoaceae, is an important coastal halophyte. Due to its adaptability to salinity and heavy metals, S. portulacastrum has now been widely used for the phytoremediation of saline soils and wastewater and the protection of the coast from erosion. The increasing use of this plant requires a large number of propagules. Stem cutting propagation and seed germination cannot meet this demand, and such propagations can initiate and spread diseases. A recent occurrence of Bipolaris sesuvii J.Z. Zhang and Gibbago trianthemae E.G. Simmons in S. portulacastrum resulted in the substantial loss of the plants during the remediation of aquaculture wastewater. Thus, there is an urgent need for establishing efficient methods of propagating disease-free starting materials. In the present study, we evaluated different growth regulators in the induction of axillary shoots from nodal explants cultured on Murashige and Skoog medium and identified that zeatin (ZT) and α-naphthaleneacetic acid (NAA) was an appropriate combination for inducing high numbers of axillary shoots. The nodal explants were then cultured on MS medium supplemented with different concentrations of ZT and NAA, and the combination of ZT at 1.0 mg L−1 and NAA at 0.3 mg L−1 induced more than 12 axillary shoots per explant. The axillary shoots were excised to produce microcuttings or microshoots, which were rooted on half-strength MS medium supplemented with different concentrations of indole-3-acetic acid (IAA) or indole-3-butyric acid (IBA). The results showed that IBA at 0.6 mg L−1 induced 91.7% of the microcuttings to root with root numbers of over 36 per cutting. The rooted plantlets were healthy and true-to-type and grew vigorously in plug trays or plastic containers with a 100% survey rate in a greenhouse. Thus, this established protocol could be used for the rapid propagation of genetically identical and disease-free plants of S. portulacastrum for phytoremediation and the protection of shoreline soils from erosion.

DNA methylation is a vital epigenetic modification. Methylation has a significant effect on the gene expression influencing the regulation of different physiological processes. Current studies on DNA methylation have been conducted on model plants. Lotus (Nelumbo nucifera) is a basic eudicot exhibiting variations during development, especially in flower formation. DNA methylation profiling was conducted on different flower tissues of lotuses through whole genome bisulfite sequencing (WGBS) to investigate the effects of DNA methylation on its stamen petaloid. A map of methylated cytosines at the single base pair resolution for the lotus was constructed. When the stamen was compared with the stamen petaloid, the DNA methylation exhibited a global decrease. Genome-wide relationship analysis between DNA methylation and gene expression identified 31 different methylation region (DMR)-associated genes, which might play crucial roles in floral organ formation, especially in the stamen petaloid. One out of 31 DMR-associated genes, NNU_05638 was homolog with Plant U-box 33 (PUB33). The DNA methylation status of NNU_05638 promoter was distinct in three floral organs, which was confirmed by traditional bisulfite sequencing. These results provide further insights about the regulation of stamen petaloids at the epigenetic level in lotus.