Profiles and differences of submucosal microbial in peri-implantitis and health implants: A cross-sectional study / 北京大学学报(医学版)

OBJECTIVE@#To describe the submucosal microbial profiles of peri-implantitis and healthy implants, and to explore bacteria that might be correlated with clinical parameters.@*METHODS@#In the present cross-sectional study, 49 patients were recruited. Each patient contributed with one implant, submucosal biofilms were collected from 20 healthy implants and 29 implants with peri-implantitis. DNA was extracted and bacterial 16S ribosomal RNA (16S rRNA) genes were amplified. Submucosal biofilms were analyzed using 16S rRNA sequencing at Illumina MiSeq platform. Differences between the groups were determined by analyzing α diversity, microbial component and microbial structure. The potential correlation between the bacteria with pocket probing depth (PPD) of peri-implant calculated by Spearman correlation analysis.@*RESULTS@#The α diversity of submucosal microbial of health group was significantly lower than that in peri-implantitis group (Chao1 index: 236.85±66.13 vs. 150.54±57.43, P < 0.001; Shannon index: 3.42±0.48 vs. 3.02±0.65, P=0.032). Principal coordinated analysis showed that the submucosal microbial structure had significant difference between healthy and peri-implantitis groups [R2=0.243, P=0.001, analysis of similarities (ANOSIM)]. Compared with healthy implants, relative abundance of periodontal pathogens were higher in peri-implantitis, including members of the red complex (Porphyromonas gingivalis, Tannerella forsythia, Treponema denticola) and some members of orange complex (Precotella intermedia, Eubacterium nodatum, Parvimonas micra), as well as some new periodontal pathogens, such as Fillifactor alocis, Fretibacterium fastidiosum, Desulfobulbus sp._HMT_041, and Porphyromonas endodontalis. Spearman correlation analysis revealed that the relative abundance of Treponema denticola (r=0.686, P < 0.001), Tannerella forsythia (r=0.675, P < 0.001), Fretibacterium sp. (r=0.671, P < 0.001), Desulfobulbus sp._HMT_041 (r=0.664, P < 0.001), Filifactor alocis (r=0.642, P < 0.001), Fretibacterium fastidiosum (r=0.604, P < 0.001), Porphyromonas gingivalis (r=0.597, P < 0.001), Porphyromonas endodontalis (r=0.573, P < 0.001) were positive correlated with PPD. While the relative abundance of Rothia aeria (r=-0.615, P < 0.001) showed negatively correlation with PPD.@*CONCLUSION@#Marked differences were observed in the microbial profiles of healthy implants and peri-implantitis. The members of red and orange complex as well as some new periodontal pathogens seem to play an important role in peri-implant disease. Compared with healthy implants, the submucosal microbial of peri-implantitis were characterized by high species richness and diversity.

High-throughput sequencing reveals the molecular mechanisms determining the stay-green characteristic in soybeans

Senescence is an internally systematized degeneration process leading to death in plants. Leaf yellowing, oneof the most prominent features of plant aging may lead to reduced crop yields. The molecular mechanism ofresponses to senescence in soybean leaves is not completely clear. In our research, two soybean varieties wereselected with different stay-green traits: stay-green variety (BN106) and non-stay-green variety (KF14). RNAsamples extracted from the leaves of two varieties were sequenced and compared using high-throughputsequencing. Six key enzyme genes in chlorophyll degradation pathways were studied to analyze the changes intheir expression at seedling, flowering and maturation stage. Meanwhile, the construction of the genetictransformation process had been constructed to identify the function of putative gene by RNA-interference. Atotal of 4329 DEGs were involved in 52 functional groups and 254 KEGG pathways. Twelve genes encodingsenescence-associated and inducible chloroplast stay-green protein showed significant differential expression.MDCase and PAO have a significant expression in BN106 that may be the key factors affecting the maintenance of green characteristics. In addition, the function of GmSGRs has been identified by genetic transformation. The loss of GmSGRs may cause soybean seeds to change from yellow to green. In summary, ourresults revealed fundamental information about the molecular mechanism of aging in soybeans with differentstay-green characteristics. The work of genetic transformation lays a foundation for putative gene functionstudies that could contribute to postpone aging in soybeans

Detección de virus de ARN en cultivos de tomate del Oriente Antioqueño mediante secuenciación de alto rendimiento y RT-qPCR / Detection of RNA viruses in tomato fields in eastern Antioquia using high-throughput sequencing (HTS) and RT-qPCR

RESUMEN En Antioquia, el cultivo de tomate (Solanum lycopersicum) se ve afectado por diversas enfermedades virales, que ocasionan la disminución en la calidad de los frutos y de los rendimientos; sin embargo, pocos estudios han identificado, a nivel de especie, los agentes causales de dichas enfermedades. En los últimos años, la secuenciación de alto rendimiento (HTS), se ha convertido en una herramienta eficiente de diagnóstico de fitopatógenos, permitiendo la detección y la caracterización genómica de un alto número de virus, en diferentes plantas. En este trabajo, se evaluó la presencia de virus de ARN infectando tomate var. Chonto del oriente Antioqueño, mediante HTS y RT-PCR, en tiempo real (RT-qPCR), en muestras de tejido foliar y en semillas. El análisis de HTS indicó la infección de los virus Potato virus S (PVS), Potato virus Y (PVY), Potato yellow vein virus (PYVV), Potato virus X (PVX), Southern tomato virus (STV) y Bell pepper endornavirus (BPEV), en los cultivos de tomate de esta región, obteniéndose los genomas completos de PYVV, STV y BPEV. Las pruebas de RT-qPCR indicaron la presencia de PYVV en el 100% de las muestras foliares analizadas, mientras que PVX, PVY, STV y PVS, se encontraron en niveles de 94,4, 77,8, 72,2 y 5,6%, respectivamente. La evaluación de estos virus en lotes de semilla sexual comercial y no comercial y en sus plantas derivadas evidenció la presencia de cinco virus en dicho material, con niveles de prevalencia del 13 al 93% e infecciones mixtas, que incluyeron combinaciones, desde dos a cinco virus.

ABSTRACT In Antioquia, the tomato crop (Solanum lycopersicum) is seriously affected by a wide range of viral diseases that affect yield and the quality of fruits. Despite of this, there are few studies aimed at identifying these viruses at the species level. With the advent of High-throughput sequencing (HTS) methods, it is now possible to achieve an efficient characterization of viruses infecting plant hosts. In this work, the presence of RNA viruses infecting tomato var. Chonto in eastern Antioquia was tested using HTS and Real-time RT-PCR (RT-qPCR) in leaf tissues and seeds. HTS revealed infection with Potato virus S (PVS), Potato virus Y (PVY), Potato yellow vein virus (PYVV), Potato virus X (PVX), Southern tomato virus (STV) and Bell pepper endornavirus (BPEV). Complete genome sequences were obtained for PYVV, STV and BPEV. RT-qPCR showed prevalence of 100%, 94.4%, 77.8%, 72.2% and 5.6% for PYVV, PVX, PVY, STV and PVS in leaf samples, respectively. These viruses were also found infecting commercial and informal seeds and in their seedlings with a prevalence between 13 and 93%. Mixed infections were found to combine a mixture of two to five viruses.

Complete mitogenome sequencing of Andaman buffalo: an endangered germplasm of Andaman and Nicobar Islands, India

Andaman buffalo is an indigenous buffalo of Andaman and Nicobar Islands, India. Over the last decade, it has witnessed a rapid decline in population, necessitating its immediate characterization and conservation. The present study reports the complete mitogenome profile of Andaman buffalo which is 16,359 bp in length and comprised of 37 genes, including 13 protein-coding genes (PCGs), 22 transfer RNAs and two ribosomal RNAs. In addition, one A + T rich region (D-loop) was also present. A biasness towards A and T base was observed in all the genes. All the PCGs except ND6 were present on heavy strand. Start codons for all the 13 PCGs were ATN codon and abbreviated/truncated stop codons were observed in ND1, ND2, COX3, ND3 and ND4. The phylogenetic analysis revealed that the Andaman buffalo is closely related to buffalo from India and China. The results from this study will help in sketching the conservation plan of the threatened breed.

Transcriptome sequencing and de novo analysis of the northern snakehead, Ophiocephalus argus

Northern snakehead, Ophiocephalus argus Cantor, is an endemic freshwater fish in China. However, wild stocks of O. argus are dwindling sharply. Further, water conservancy projects, environmental pollution and human activities have caused the decrease of wild stocks, which has attracted much attention. Here, we have investigated the genomic information of O. argus using IlluminaHiseq 4000 sequencing. The transcriptomes of O. argus were sequenced by Illumina technology. A total of 67,564 sequences from 79,500,964 paired-end reads were generated, 33,710 unigenes were annotated based on protein databases (NCBI nonredundant (NR) databases). In total, 7182 unigenes had the clusters of orthologous group (COG) classifications, 33,710 unigenes were assigned to 59 gene ontology (GO) terms. Further, a total of 21,464 simple sequence repeats (SSRs) from 67,564 unigenes and 113,518 single nucleotide polymorphism (SNP) sites among 335 Mclean reads were yielded for O. argus based on a transcriptome-wide search. The new transcriptome data which is presented in this study for O. argus will provide valuable information for gene discovery and downstream applications, such as phylogenetic analysis, gene-expression profiling and identification of genetic markers (SSRs andSNP).

Development of Polymorphic Simple Sequence Repeat Markers using High-Throughput Sequencing in Button Mushroom (Agaricus bisporus)

The white button mushroom (Agaricus bisporus) is one of the most widely cultivated species of edible mushroom. Despite its economic importance, relatively little is known about the genetic diversity of this species. Illumina paired-end sequencing produced 43,871,558 clean reads and 69,174 contigs were generated from five offspring. These contigs were subsequently assembled into 57,594 unigenes. The unigenes were annotated with reference genome in which 6,559 unigenes were associated with clusters, indicating orthologous genes. Gene ontology classification assigned many unigenes. Based on genome data of the five offspring, 44 polymorphic simple sequence repeat (SSR) markers were developed. The major allele frequency ranged from 0.42 to 0.92. The number of genotypes and the number of alleles ranged from 1 to 4, and from 2 to 4, respectively. The observed heterozygosity and the expected heterozygosity ranged from 0.00 to 1.00, and from 0.15 to 0.64, respectively. The polymorphic information content value ranged from 0.14 to 0.57. The genetic distances and UPGMA clustering discriminated offspring strains. The SSR markers developed in this study can be applied in polymorphism analyses of button mushroom and for cultivar discrimination.

Comparative transcriptome and potential antiviral signaling pathways analysis of the gills in the red swamp crayfish, Procambarus clarkii infected with White Spot Syndrome Virus (WSSV)

Abstract Red swamp crayfish is an important model organism for research of the invertebrate innate immunity mechanism. Its excellent disease resistance against bacteria, fungi, and viruses is well-known. However, the antiviral mechanisms of crayfish remain unclear. In this study, we obtained high-quality sequence reads from normal and white spot syndrome virus (WSSV)-challenged crayfish gills. For group normal (GN), 39,390,280 high-quality clean reads were randomly assembled to produce 172,591 contigs; whereas, 34,011,488 high-quality clean reads were randomly assembled to produce 182,176 contigs for group WSSV-challenged (GW). After GO annotations analysis, a total of 35,539 (90.01%), 14,931 (37.82%), 28,221 (71.48%), 25,290 (64.05%), 15,595 (39.50%), and 13,848 (35.07%) unigenes had significant matches with sequences in the Nr, Nt, Swiss-Prot, KEGG, COG and GO databases, respectively. Through the comparative analysis between GN and GW, 12,868 genes were identified as differentially up-regulated DEGs, and 9,194 genes were identified as differentially down-regulated DEGs. Ultimately, these DEGs were mapped into different signaling pathways, including three important signaling pathways related to innate immunity responses. These results could provide new insights into crayfish antiviral immunity mechanism.

Transcriptome characterization of intestinal microbial flora in different pregnant women using Illumina sequencing / 中国病理生理杂志

[ ABSTRACT] AIM:To investigate the characteristics of the intestinal microbial flora in the pregnant women with congenital heart disease fetus ( PW group) and normal pregnant women ( NW group) .METHODS: Stool samples were collected from 15 NW and 17 PW cases.The bacterial genomic DNA was extracted.The 16S rDNA was amplified by PCR, and the second generation of Illumina sequencing was conducted.RESULTS: We obtained 2 696 276 ( NW group) and 2 445 530 ( PW group) optimized sequences.The coverage was greater than 97%.We obtained 77 243 operational taxono-mic units ( OTUs) in NW group and 75 600 OTUs in PW group after a 97%similarity merge.In NW group, the Chao 1 in-dex and the Shannon index were greater than those in PW group.The diversity analysis of microbial population indicated that they were mainly composed of Firmicutes, Proteobacteria and Actinobacteria.In family, the Bifidobacteriaceae and Cori-obacteriaceae were significantly different through analysis of variance.CONCLUSION: The Bifidobacteriaceae and Cori-obacteriaceae may play an important role in the occurrence of congenital heart disease.