Characterization of ectomycorrhizal fungal communities associated with tree species on an iron tailings deposit undergoing restoration.

Vegetation restoration is an effective method to improve the ecological environment of mine tailings, which has a profound impact on the potential ecological functions of soil fungal communities; yet, little is known about its beneficial effect on soil ectomycorrhizal fungal community. In this study, the responses of soil characteristics and soil ectomycorrhizal fungal community diversity and structure to different revegetation, as well as the contribution of soil factors to soil ectomycorrhizal community were investigated in Liaoning Province, China. As we anticipated, the presence of vegetation significantly improved most soil properties we studied. What's more, compared to Korean pine (Pinus koraiensis Sieb. et Zucc.), Chinese poplar (Populus simonii Carr), and black locust (Robinia pseudoacacia L) could better improve soil total carbon, total nitrogen, total phosphorus, and available phosphorus. In addition, soil ectomycorrhizal fungal community diversity in black locust was greater than Korean pine and Populus simonii. Nonmetric multidimensional scaling analyses indicated that soil ectomycorrhizal community significantly differed depending on different revegetation types. Thus, these results indicated that black locust could be a suitable species for the revegetation of iron mine tailings. The study provided theoretical basis for ecological restoration of iron mine tailings using local plant species.

Study on the differences of phyllosphere microorganisms between poplar hybrid offspring and their parents.

The females and males of dioecious plants have evolved sex-specific characteristics in terms of their morphological and physiological properties. However, the differentiation of phyllosphere microorganism of dioecious plants between parents and hybrid offspring remain largely unexplored. Here, the phyllosphere bacterial and fungal community diversity and composition of female (Populus nigra 'DH5' (PNDH5)), male (P. simonii 'DH4' (PSDH4)), and the hybrid offspring (P. simonii × P. nigra 'DH1' (PSPNDH1), P. simonii × P. nigra 'DH2' (PSPNDH2), P. simonii × P. nigra 'DH3' (PSPNDH3)) were investigated using 16S rDNA/ITS rDNA gene-based Illumina NovaSeq 6000 sequencing. There was considerable variation of plant height, diameter at breast height, leaf area, length of petioles, leaf moisture content, and starch among different samples, and PSDH2 owned the highest plant height, diameter at breast height, and length of petioles. No distinct differences of phyllosphere bacterial community diversity were observed among PSDH4, PNDH5, PSPNDH1, PSPNDH2, and PSPNDH3; while, PSPNDH2 owned the highest fungal Pielou_e index, Shannon index, and Simpson index. Firmicutes and Ascomycota were the predominant phyllosphere bacterial and fungal community at the phylum level, respectively. Bacilli and Gammaproteobacteria were the two most dominant bacterial classes regardless of parent and the hybrid offspring. The predominant phyllosphere fungal community was Dothideomycetes at the class level. The NMDS demonstrated that phyllosphere microbial community obviously differed between parents and offspring, while the phyllosphere microbial community presented some similarities under different hybrid progeny. Also, leaf characteristics contributed to the differentiation of phyllosphere bacterial and fungal communities between parents and hybrid offspring. These results highlighted the discrimination of phyllosphere microorganisms on parent and hybrid offspring, which provided clues to potential host-related species in the phyllosphere environment.

Transcriptome profiling revealed diverse gene expression patterns in poplar (Populus × euramericana) under different planting densities.

Certain plant genotypes can achieve optimal growth under appropriate environmental conditions. Under high planting density conditions, plants undergo competition for uptake and utilization of light and nutrients. However, the relationship between whole-genome expression patterns and the planting density in perennial woody plants remains unknown. In this study, whole-genome RNA sequencing of poplar (Populus × euramericana) was carried out at three different sampling heights to determine gene expression patterns under high (HD) and low (LD) planting densities. As a result, 4,004 differentially expressed genes (DEGs) were detected between HD and LD, of which 2,300, 701, and 1,003 were detected at the three positions, upper, middle and bottom, respectively. Function annotation results further revealed that a large number of the DEGs were involved in distinct biological functions. There were significant changes in the expression of metabolism-related and stimulus-related genes in response to planting density. There were 37 DEGs that were found at all three positions and were subsequently screened. Several DEGs related to plant light responses and photosynthesis were observed at different positions. Meanwhile, numbers of genes related to auxin/indole-3-acetic acid, and carbon and nitrogen metabolism were also revealed, displaying overall trends of upregulation under HD. These findings provide a basis for identifying candidate genes related to planting density and could increase our molecular understanding of the effect of planting density on gene expression.

Persistence and predictors of abnormal glucose metabolisms in patients after acute stroke.

OBJECTIVES: To determine the persistence of newly recognized abnormal glucose metabolism in patients following acute ischemic stroke and delineate the possible predictive factors for this persistence. METHODS: A prospective observational study was performed. One hundred and twenty-three patients with acute first-ever ischemic stroke and no previous diagnosis of diabetes mellitus were enrolled consecutively. Information from baseline and laboratory tests was recorded. A standard oral glucose tolerance test was performed on the fourteenth day after onset and 3 months later, respectively. RESULTS: One hundred and seven patients completed the study. Thirty-nine patients (36.3%) were diagnosed as having newly recognized diabetes on the 14th day and 28 patients (26.1%) after 3 months. Among the patients diagnosed as having diabetes or impaired glucose tolerance during hospitalization, 68.6% remained to present with abnormal glucose metabolism 3 months later. Lower post-load plasma glucose on the fourteenth day was detected as a predictor for aggravated glucose metabolism after 3 months of onset. CONCLUSION: Majority of newly recognized abnormal glucose metabolism during hospitalization persisted 3 months later. Patients with lower post-load glucose level on the fourteenth day had higher risk for aggravated glucose metabolism 3 months later. Those with higher fasting glucose concentration on admission or higher 2 hour post-load plasma glucose on the fourteenth day had significantly high risk for diabetes after 3 months.