Soil Rehabilitation Promotes Resilient Microbiome with Enriched Keystone Taxa than Agricultural Infestation in Barren Soils on the Loess Plateau

Drylands provide crucial ecosystem and economic services across the globe. In barren drylands, keystone taxa drive microbial structure and functioning in soil environments. In the current study, the Chinese Loess plateau’s agricultural (AL) and twenty-year-old rehabilitated lands (RL) provided a unique opportunity to investigate land-use-mediated effects on barren soil keystone bacterial and fungal taxa. Therefore, soils from eighteen sites were collected for metagenomic sequencing of bacteria specific 16S rRNA and fungi specific ITS2 regions, respectively, and to conduct molecular ecological networks and construct microbial OTU-based correlation matrices. In RL soils we found a more complex bacterial network represented by a higher number of nodes and links, with a link percentage of 77%, and a lower number of nodes and links for OTU-based fungal networks compared to the AL soils. A higher number of keystone taxa was observed in the RL (66) than in the AL (49) soils, and microbial network connectivity was positively influenced by soil total nitrogen and microbial biomass carbon contents. Our results indicate that plant restoration and the reduced human interventions in RL soils could guide the development of a better-connected microbial network and ensure sufficient nutrient circulation in barren soils on the Loess plateau.

Study on the Predictive Algorithm of Plant Restoration under Heavy Metals

Heavy metal pollution of soil is becoming a more serious issue globally. Heavy metal contamination of the soil environment is inevitable as a result of the rapid and extensive growth of industry and agriculture, resulting in unfavorable environmental circumstances for both the flora and fauna. Traditional approaches for collecting field sampling with laboratory testing of soil heavy metals are restricted not only by their time and cost but also by their inability to gather sufficient information about the spatial distribution characteristics of heavy metals in soil over a vast area. The continuous development of the urban industrial processes leads to the degree of heavy metal pollution in urban gardens. For soil monitoring and cleanup, having quick and accurate access to heavy metal concentration data is very crucial and critical. In order to improve the restoration ability of garden heavy metal pollution, a new algorithm to predict plant restoration ability under the garden heavy metal pollution environment is put forward in this study. Firstly, we analyzed the composition of garden heavy metal pollution and the harm of garden heavy metal pollution. Secondly, we identified the restoration technology of garden heavy metal pollution to plants, determine the level of garden heavy metal pollution with the help of the land accumulation index method, and reflect the average pollution water level of garden heavy metal elements with the help of Numero comprehensive pollution heatstroke. On this basis, the plant repairability prediction model was constructed with the help of wavelet function, to predict the plant repairability under garden heavy metal pollution environment and to complete the prediction of plant repairability under garden heavy metal pollution environment. The experimental results show that the proposed method was better than the traditional approaches in terms of prediction accuracy and is also less time-consuming.

Leaf morphology and chlorophyll fluorescence characteristics of mulberry seedlings under waterlogging stress

Because of its high flooding tolerance, in recent years, mulberry has become a tree species that is used in plant restoration in impact zones in reservoir areas. Therefore, 3-year-old potted forage mulberry seedlings were used to investigate the mechanism of mulberry adaptation to flooding stress. An indoor simulated flooding method was adopted to study the morphology of mulberry seedling leaves and the changes in leaf chlorophyll fluorescence parameters and fluorescence imaging under different flooding times and depths. The results showed that the leaves of mulberry seedlings treated with shallow submergence remained healthy during the flooding period, while the leaves of mulberry seedlings treated with half submergence and full submergence showed different degrees of waterlogging symptoms in the middle and late flooding periods and formed adventitious roots at the base of the stem. Most of the chlorophyll fluorescence parameters decreased at the beginning of flooding, but the steady-state degree of closure of PS II reaction centres (1-qP_Lss) increased significantly. In the later stage of flooding, the fluorescence parameters showed relatively stable trends. Based on these results, we conclude that mulberry has high flooding tolerance due to a combination of morphological and physiological responses.

Transcriptome analysis of Nelumbo nucifera in response to antimony stress

To explore the probable mechanism of antimony stress resistance by Nelumbo nucifera and screen out relevant antimony-resistant genes, we conducted transcriptome sequencing of Nelumbo nucifera seeds treated by antimony at low, medium, and high concentrations (100, 500, 1000 mg/L respectively), screened differentially expressed genes (DEGs), and analyzed gene ontology classification and KEGG enrichment.Totally 18078 DEGs between antimony stress treatments and the control were identified, and 4192, 5850 and 8036 DEGs were found respectively.The pathways underlying the degradation of phosphopentose, limonene and pinene, the biosynthesis of flavonoid and ubiquinone, and the biosynthesis of terpenoids play critical roles in this responding process. The expressions of 7 genes validated by qPCR were consistent with the RNA-Seq results, which confirms the reliability of RNA-Seq results.This study on transcriptome analysis of Nelumbo nucifera under antimony stress provides a genetic resource and a theoretical basis for research on plant restoration of antimony pollution.

Analisis Pertumbuhan Tanaman Restorasi di Taman Nasional Matalawa

Ecosystem restoration in Matalawa National Park is an effort to restore the condition of the forest so as to achieve the function of forest to maintain biodiversity. This research aims to analyze the biophysical influence against growth of plant restoration. The research was conducted in Manurara, Taman Mas, Tangairi and Waimanu. The object of the research consists of adinu plant (Melochia umbellata), cimung plant (Timonius timon), kihi plant (Canarium acutifolium), langaha plant (Planchonia valida) and mara plant (Tetrameles nudiflora). The experiment was analyzed by pearson correlation coefficient (r) and t test. The results showed biophysical environmental factors have a very strong relationship with the growth of restoration plants in Matalawa National Park is phosphorus, CEC, pH and altitude of site. Besides, the growth of adinu plant is higher than other plants in open area conditions. Keywords: biophysical, characteristics of plant species, forest restoration, national park