Bacterial Community Structure and Function Shift in Rhizosphere Soil of Tobacco Plants Infected by Meloidogyne incognita

Wenjie Tong(Wenjie Tong),Junying Li(Junying Li),Wenfeng Cong(Wenfeng Cong),Cuiping Zhang(Cuiping Zhang),Zhaoli Xu(Zhaoli Xu),Xiaolong Chen(Xiaolong Chen),Min Yang(Min Yang),Jiani Liu(Jiani Liu),Lei Yu 한국식물병리학회 2022 Plant Pathology Journal Vol.38 No.6

Root-knot nematode disease is a widespread and catastrophic disease of tobacco. However, little is known about the relationship between rhizosphere bacterial community and root-knot nematode disease. This study used 16S rRNA gene sequencing and PICRUSt to assess bacterial community structure and function changes in rhizosphere soil from Meloidogyne incognita-infected tobacco plants. We studied the rhizosphere bacterial community structure of M. incognita-infected and uninfected tobacco plants through a paired comparison design in two regions of tobacco planting area, Yuxi and Jiuxiang of Yunnan Province, southwest China. According to the findings, M. incognita infection can alter the bacterial population in the soil. Uninfested soil has more operational taxonomic unit numbers and richness than infested soil. Principal Coordinate Analysis revealed clear separations between bacterial communities from infested and uninfested soil, indicating that different infection conditions resulted in significantly different bacterial community structures in soils. Firmicutes was prevalent in infested soil, but Chloroflexi and Acidobacteria were prevalent in uninfested soil. Sphingomonas, Streptomyces, and Bradyrhizobium were the dominant bacteria genera, and their abundance were higher in infested soil. By PICRUSt analysis, some metabolism-related functions and signal transduction functions of the rhizosphere bacterial community in the M. incognita infection-tobacco plants had a higher relative abundance than those uninfected. As a result, rhizosphere soils from tobacco plants infected with M. incognita showed considerable bacterial community structure and function alterations.

SM-RCNV: a statistical method to detect recurrent copy number variations in sequenced samples

Yaoyao Li,Xiguo Yuan,Junying Zhang,Liying Yang,Jun Bai,Shan Jiang 한국유전학회 2019 Genes & Genomics Vol.41 No.5

Background Copy number variation (CNV) is an important form of genomic structural variation and is linked to dozens of human diseases. Using next-generation sequencing (NGS) data and developing computational methods to characterize such structural variants is significant for understanding the mechanisms of diseases. Objective The objective of this study is to develop a new statistical method of detection recurrent CNVs across multiple samples from genomic sequences. Methods A statistical method is carried out to detect recurrent CNVs, referred to as SM-RCNV. This method uses a statistic associated with each location by combining the frequency of variation at one location across whole samples and the correlation among consecutive locations. The weights of the frequency and correlation are trained using real datasets with known CNVs. P-value is assessed for each location on the genome by permutation testing. Results Compared with six peer methods, SM-RCNV outperforms the peer methods under receiver operating characteristic curves. SM-RCNV successfully identifies many consistent recurrent CNVs, most of which are known to be of biological significance and associated with diseased genes. The validation rate of SM-RCNV in the CEU call set and YRI call set with Database of Genomic Variants are 258/328 (79%) and (157/309) 51%, respectively. Conclusion SM-RCNV is a well-grounded statistical framework for detecting recurrent CNVs from multiple genomic sequences, providing valuable information to study genomes in human diseases. The source code is freely available at https ://sourc eforg e.net/proje cts/sm-rcnv/.

Evaluating the electric property of different crystal faces and enhancing the Raman scattering of Cu2O microcrystal by depositing Ag on the surface

Hong Gao,Junying Zhang,Min Li,Kejia Liu,Dong Guo,Yue Zhang 한국물리학회 2013 Current Applied Physics Vol.13 No.5

The surface electric property of Cu2O microcrystal affects the interaction of facets with substance in the aqueous solution, and hence plays a key role in determining the photocatalytic activity. In this paper, the capability of Cu2O microcrystals with exclusive {111}, {110} or both lattice surfaces in reducing Agþ to Ag0were investigated. Ag particles selectively deposited on {111} surfaces of Cu2O, while not on {110} surfaces. The different behaviors of the two surfaces are mainly attributed to their different electric properties:negatively-charged {111} surfaces absorb Agþ ions while positively-charged {110} surfaces repel them. Raman scattering of Cu2O {111} surfaces was enhanced by the photo-deposition of Ag particles.

Genome-wide identification of drought-responsive microRNAs and their target genes in Chinese jujube by deep sequencing

Zhang Luhe,Li Yi,Yang Jiangwei,Huang Huali,Lu Qian,Zhao Junying,Wang Fang,Wang Duofeng 한국유전학회 2023 Genes & Genomics Vol.45 No.2

Background MicroRNAs (miRNAs) are about 21 snucleotide (nt) long, non-coding RNAs that play an important role in plant abiotic stress responses. Chinese jujube is a native fruit tree in China, which is also an admittedly drought-resistant plant. But the drought-related miRNAs have little been reported in jujube. Objective To identify possibly drought-responsive microRNAs and their target genes in Chinese Jujube. Methods Twelve small RNA libraries were constructed from two jujube genotypes both drought treated and control samples with three replicates to identify known and novel miRNAs in Chinese Jujube, DESeq2 was used to identify expression pattern of miRNAs between drought treatment and control samples, TargetFinder program was used to predict potential target genes of conserved and novel miRNAs, RT-qPCR were used to analysis the expression levels of drought-related miRNAs and their potential targets. The RNA ligase-mediated RLM-5′ RACE experiments were performed to validate predicted target genes of drought-related miRNAs. Results 43 known miRNAs and 431 novel miRNAs were identified in Chinese jujube. Expression analysis showed that 28 miRNAs were differential expressed under drought stress in jujube variety “Dongzao”, including 21 up-regulated miRNAs and 7 down-regulated miRNAs, 61 miRNAs were differential expressed under drought stress in Chinese jujube variety “Zanhuangdazao”, including 23 up-regulated miRNAs and 37 down-regulated miRNAs. Depend on miRNAs target prediction, functional annotation and expression analysis, we identified 9 drought-related miRNAs, and 7 target genes of 6 miRNAs were confirmed using the modified 5′-RACE method. Also, RT-qPCR analyses revealed that relative expression of those miRNAs and their targets have negative tendency. Conclusion We identified 6 drought-related miRNAs by high-throughout sequencing and target gene annotation from Chinese jujube, and targets of those miRNAs were confirmed by the modified 5′-RACE method. These findings provide molecular evidence for enhancing drought tolerance in Chinese jujube and other plants.

Sb-doped SnS2 nanosheets enhance electrochemical reduction of carbon dioxide to formate

Luntong Yan,Zelin Wu,Congming Li,Junying Wang 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.123 No.-

Electrocatalytic carbon dioxide (CO2) is a forward-looking strategy to convert renewable energy into fuel. Herein, we show that the novel Sb-doped SnS2 nanosheets were synthesized by a simple hydrothermalmethod for efficient electroreduction of CO2, and the atomic ratio of Sb/Sn was controllable. The introductionof Sb significantly enhanced the current density and Faradaic efficiency for formate products comparedto pristine SnS2 nanosheets. When the Sb content was 1%, the Sb-SnS2 nanosheets achieved aremarkable Faradaic efficiency of 90.86% for formate products at 1.1 V vs. RHE. The experimental resultsshowed that 1% Sb-doped SnS2 nanosheets changed the electronic structure of the Sn element, allowingthe catalyst to reconfigure to generate Sn0 during the electrochemical reaction, while the singlet tin had asynergistic effect with Sn4+, making it easier to transport electrons on the surface and promoting the activationprocess of CO2, which is a key factor to improve the electroreduction performance of CO2.

MCT2 overexpression promotes recovery of cognitive function by increasing mitochondrial biogenesis in a rat model of stroke

Xiaorong Yu,Rui Zhang,Cunsheng Wei,Yuanyuan Gao,Yanhua Yu,Lin Wang,Junying Jiang,Xuemei Zhang,Junrong Li,Xuemei Chen 한국통합생물학회 2021 Animal cells and systems Vol.25 No.2

Monocarboxylate transporter 2 (MCT2) is the predominant monocarboxylate transporter expressed by neurons. MCT2 plays an important role in brain energy metabolism. Stroke survivors are at high risk of cognitive impairment. We reported previously that stroke-induced cognitive impairment was related to impaired energy metabolism. In the present study, we report that cognitive function was impaired after stroke in rats. We found that MCT2 expression, but not that of MCT1 or MCT4, was markedly decreased in the rat hippocampus at 7 and 28 days after transient middle cerebral artery occlusion (tMCAO). Moreover, MCT2 overexpression promoted recovery of cognitive function after stroke. The molecular mechanism underlying these effects may be related to an increase in adenosine monophosphate-activated protein kinase-mediated mitochondrial biogenesis induced by overexpression of MCT2. Our findings suggest that MCT2 activation ameliorates cognitive impairment after stroke.

DNA Fingerprint Bands Correlated with the Egg Weight Performance of Hens

Huang, Haigen,Meng, Anming,Qi, Shunzhang,Gong, Guifen,Li, Junying,Wang, Hongwei,Chou, Baoqin Asian Australasian Association of Animal Productio 1999 Animal Bioscience Vol.12 No.1

Beijing White Chickens laying larger eggs and smaller eggs were respectively used as parental individuals for mating to produce the F1 progeny and then the F1 progeny individuals mated to produce 125 individuals of the F2 progeny. Three bands associated with the egg weight performance were identified from DNA fingerprints of the 125 individuals generated with a bovine minisatellite probe BM6.5B. The simple linear correlation analysis showed that the coefficients of correlation between frequencies of the three bands (DB1, DB2 and DB3) and egg weights were -0.6, -0.6 and 0.9, respectively.