Molecular evidence of Francisella noatunensis sub sp. orientalis in Oreochromis niloticus in Yunnan Province, south-western China

Francisella sp. is an emerging bacterial pathogen affecting tilapia Oreochromis niloticus This study surveyed presence of Francisella sp. in tilapia raised in Yunnan Province, south-western China along with water quality parameters and management practices. A total of 224 tilapia specimens were sampled from 28 farms between June and September 2017. Necropsy of the sampled fish revealed no granulomatous lesions and the standard bacterial isolation protocols proved negative for Francisella sp. However, the presence of Francisella sp. was confirmed by polymerase chain reaction in 18 samples (8%) from 8 of the 28 farms (28.6%) sampled, though no increasing mortality was reported from these farms. The 16S ribosomal RNA gene sequences revealed 99.7% identity with F. noatunensis sub sp. orientalis. The presence of Francisella sp. infection showed significant association with water temperature.

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A new species of Skeletocutis (Polyporales, Basidiomycota) from Yunnan of China

Phytotaxa ◽

10.11646/phytotaxa.270.4.3 ◽

2016 ◽

Vol 270 (4) ◽

pp. 267 ◽

Cited By ~ 1

Author(s):

LU-SEN BIAN ◽

CHANG-LIN ZHAO ◽

FANG WU

Keyword(s):

Phylogenetic Analysis ◽

New Species ◽

Ribosomal Rna ◽

Internal Transcribed Spacer ◽

Yunnan Province ◽

Large Subunit ◽

Morphological Characteristics ◽

Molecular Evidence ◽

Its Regions ◽

A New Species

A new species of Polyporales, named as Skeletocutis yunnanensis, was collected on angiosperm wood in northern Yunnan Province, southwestern China. It is described based on morphological characteristics and molecular evidence. The species belongs to the Skeletocutis subincarnata complex, but differs morphologically from all known species of the genus by white, cream to buff pores surface, angular pores mostly 5–6 per mm with entire mouths, a dimitic hyphal structure both in trama and subiculum, generative hyphae in whole basidiocarps covered by fine crystals, skeletal hyphae unchanged in KOH, not agglutinated, allantoid basidiospores measured as 3.5–4.5 × 1.0–1.2 µm, and growth on angiosperm wood. Phylogenetic analysis based on the internal transcribed spacer (ITS) regions and nuclear large subunit (nLSU) ribosomal RNA gene regions indicated that the new species grouped with Skeletocutis and nested in the tyromyces clade.

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Molecular Evidence for Local Acquisition of Human Alveolar Echinococcosis in Saskatchewan, Canada

The Journal of Infectious Diseases ◽

10.1093/infdis/jiaa473 ◽

2020 ◽

Author(s):

Janna M Schurer ◽

Polly Tsybina ◽

Karen M Gesy ◽

Temitope U Kolapo ◽

Stuart Skinner ◽

...

Keyword(s):

Ribosomal Rna ◽

Haplotype Analysis ◽

Alveolar Echinococcosis ◽

Mitochondrial Gene ◽

Molecular Evidence ◽

Travel History ◽

Life Threatening ◽

Polymerase Chain ◽

Pcr Targeting ◽

Autochthonous Transmission

Abstract Alveolar echinococcosis (AE) is a life-threatening parasitic disease caused by the zoonotic cestode Echinococcus multilocularis. Our goals were to confirm infection, identify species, and analyze biogeographical origin of metacestode tissues from a suspected human AE case in Saskatchewan, Canada. We conducted polymerase chain reaction (PCR) targeting the nad1 mitochondrial gene for E. multilocularis and the rrnS ribosomal RNA gene for E. granulosus and conducted haplotype analysis at the nad2 locus. Our analysis confirmed AE and indicated that sequences matched infected Saskatchewan coyotes and European E3/E4 haplotypes. The patient had no travel history outside North America. This suggests autochthonous transmission of a European-type strain.

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An unusual case of spinal cord restricted mycobacteriosis in a European mink

Tierärztliche Praxis Ausgabe K Kleintiere / Heimtiere ◽

10.1055/s-0038-1623679 ◽

2013 ◽

Vol 41 (01) ◽

pp. 63-66

Author(s):

D. Schaudien ◽

C. Flieshardt ◽

I. Moser ◽

H. Hotzel ◽

A. Tipold ◽

...

Keyword(s):

Spinal Cord ◽

Unusual Case ◽

Histological Evaluation ◽

Mustela Lutreola ◽

Chain Reaction ◽

European Mink ◽

Pcr Product ◽

Granulomatous Lesions ◽

The Central Nervous System ◽

Polymerase Chain

SummaryGranulomatous myelitis due to infection with Mycobacterium avium was diagnosed in a 4-year-old male neutered European mink (Mustela lutreola). The causative agent was detected by an acid-fast stain and further characterized by polymerase chain reaction and DNA sequencing of the PCR product. A thorough histological evaluation of the remaining organs revealed no granulomatous lesions or detectable acid-fast organisms. Although minks are generally highly susceptible for mycobacteria, localised infections, especially of the central nervous system, are unusual and may represent an atypical chronic form of the disease.

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Detection of residual E. coli host cell DNA by 23S ribosomal RNA gene-targeted quantitative polymerase chain reactions

Journal of Pharmaceutical and Biomedical Analysis ◽

10.1016/j.jpba.2021.114000 ◽

2021 ◽

Vol 198 ◽

pp. 114000

Author(s):

Dehua Li ◽

Qian Zhang ◽

Guodi Liu ◽

Linsong Zhang ◽

Zhangjie Gu ◽

...

Keyword(s):

Host Cell ◽

Ribosomal Rna ◽

Ribosomal Rna Gene ◽

Chain Reactions ◽

E Coli ◽

Polymerase Chain Reactions ◽

Polymerase Chain ◽

23S Ribosomal Rna

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Molecular Identification of Trypanosoma evansi Isolated from Arabian Camels (Camelus dromedarius) in Riyadh and Al-Qassim, Saudi Arabia

Animals ◽

10.3390/ani11041149 ◽

2021 ◽

Vol 11 (4) ◽

pp. 1149

Author(s):

Dina M. Metwally ◽

Isra M. Al-Turaiki ◽

Najwa Altwaijry ◽

Samia Q. Alghamdi ◽

Abdullah D. Alanazi

Keyword(s):

Saudi Arabia ◽

Infection Rate ◽

Ribosomal Rna ◽

Phylogenetic Analyses ◽

Trypanosoma Evansi ◽

Camelus Dromedarius ◽

18S Ribosomal Rna ◽

18S Ribosomal Rna Gene ◽

Polymerase Chain ◽

Pcr Targeting

We analyzed the blood from 400 one-humped camels, Camelus dromedarius (C. dromedarius), in Riyadh and Al-Qassim, Saudi Arabia to determine if they were infected with the parasite Trypanosoma spp. Polymerase chain reaction (PCR) targeting the internal transcribed spacer 1 (ITS1) gene was used to detect the prevalence of Trypanosoma spp. in the camels. Trypanosoma evansi (T. evansi) was detected in 79 of 200 camels in Riyadh, an infection rate of 39.5%, and in 92 of 200 camels in Al-Qassim, an infection rate of 46%. Sequence and phylogenetic analyses revealed that the isolated T. evansi was closely related to the T. evansi that was detected in C. dromedarius in Egypt and the T. evansi strain B15.1 18S ribosomal RNA gene identified from buffalo in Thailand. A BLAST search revealed that the sequences are also similar to those of T. evansi from beef cattle in Thailand and to T. brucei B8/18 18S ribosomal RNA from pigs in Nigeria.

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Comparison of Forecasting Models for Real-Time Monitoring of Water Quality Parameters Based on Hybrid Deep Learning Neural Networks

Water ◽

10.3390/w13111547 ◽

2021 ◽

Vol 13 (11) ◽

pp. 1547

Author(s):

Jian Sha ◽

Xue Li ◽

Man Zhang ◽

Zhong-Liang Wang

Keyword(s):

Neural Network ◽

Water Quality ◽

Deep Learning ◽

Real Time ◽

Best Management Practices ◽

Input Data ◽

Management Practices ◽

Quality Parameters ◽

Water Quality Parameters ◽

Real Time Monitoring

Accurate real-time water quality prediction is of great significance for local environmental managers to deal with upcoming events and emergencies to develop best management practices. In this study, the performances in real-time water quality forecasting based on different deep learning (DL) models with different input data pre-processing methods were compared. There were three popular DL models concerned, including the convolutional neural network (CNN), long short-term memory neural network (LSTM), and hybrid CNN–LSTM. Two types of input data were applied, including the original one-dimensional time series and the two-dimensional grey image based on the complete ensemble empirical mode decomposition algorithm with adaptive noise (CEEMDAN) decomposition. Each type of input data was used in each DL model to forecast the real-time monitoring water quality parameters of dissolved oxygen (DO) and total nitrogen (TN). The results showed that (1) the performances of CNN–LSTM were superior to the standalone model CNN and LSTM; (2) the models used CEEMDAN-based input data performed much better than the models used the original input data, while the improvements for non-periodic parameter TN were much greater than that for periodic parameter DO; and (3) the model accuracies gradually decreased with the increase of prediction steps, while the original input data decayed faster than the CEEMDAN-based input data and the non-periodic parameter TN decayed faster than the periodic parameter DO. Overall, the input data preprocessed by the CEEMDAN method could effectively improve the forecasting performances of deep learning models, and this improvement was especially significant for non-periodic parameters of TN.

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Clinical Evaluation of a 16S Ribosomal RNA Polymerase Chain Reaction Test for the Diagnosis of Lymph Node Tuberculosis

Clinical Infectious Diseases ◽

10.1086/507536 ◽

2006 ◽

Vol 43 (7) ◽

pp. 855-859 ◽

Cited By ~ 19

Author(s):

Fernando Osores ◽

Oscar Nolasco ◽

Kristien Verdonck ◽

Jorge Arevalo ◽

Juan Carlos Ferrufino ◽

...

Keyword(s):

Polymerase Chain Reaction ◽

Lymph Node ◽

Rna Polymerase ◽

Ribosomal Rna ◽

Polymerase Chain Reaction Test ◽

Chain Reaction ◽

Reaction Test ◽

Polymerase Chain ◽

Lymph Node Tuberculosis ◽

Chain Reaction Test

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Population characteristics of Oreochromis niloticus (Linnaeus, 1758) in light of varying water quality conditions of adjoined Lakes Naivasha and Oloidien in Kenya

PAN AFRICA SCIENCE JOURNAL ◽

10.47787/pasj.2020.02.20 ◽

2020 ◽

Vol 01 (01) ◽

pp. 54-71

Author(s):

Alice Mutie ◽

◽

Edna Waithaka ◽

George Morara ◽

Priscilla Boera ◽

...

Keyword(s):

Water Quality ◽

Oreochromis Niloticus ◽

Quality Parameters ◽

Population Characteristics ◽

Lake Naivasha ◽

Habitat Conditions ◽

Relationship Analysis ◽

Relative Condition Factor ◽

Nile Tilapia Oreochromis Niloticus ◽

Main Lake

Nile tilapia Oreochromis niloticus (L.) is a recent re-introduction in Lake Naivasha and is one of the fish species that has crossed into Lake Oloidien. This study assessed and compared the population characteristic of O. niloticus under different physicochemical conditions of water in L. Naivasha (main) and L. Oloidien. Samples of water for selected water quality parameters and fisheries data from catch survey were collected between 2017 and 2018. Results indicate the highest conductivity levels recorded in 2018 as 2916 ±11.30 µScm-1 and 282.33 ± 4.33 µScm-1 for L. Oloidien and L. Naivasha respectively. Mean total lengths of O. niloticus were 19.1± 1.8 cm and 23.6 ± 2.9 cm for L. Oloidien and L. Naivasha respectively. Mean weight of O. niloticus was 129.3 ± 37.8 g in L. Oloidien and 260.9 ± 81.0 g in L. Naivasha. Length-weight relationship analysis showed a negative allometric growth (b = 2.526) and (b = 2.983; p > 0.05) in lakes Oloidien and Naivasha respectively. The relative condition factor (Kn) values were slightly lower in O. niloticus from L. Oloidien compared to the main Lake. Differences between the two lakes in the population characteristics of O. niloticus may be attributed to the observed differences in the habitat conditions, including the conductivity and pH levels.

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