scholarly journals A Useful Technical Application of the Identification of Nucleotide Sequence Polymorphisms and Gene Resources for Cinnamomum osmophloeum Kaneh. (Lauraceae)

Forests ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 306
Author(s):  
Wen-Kuang Hsu ◽  
Shih-Chieh Lee ◽  
Pei-Luen Lu

The plant genus Cinnamomum contains economically important evergreen aromatic trees and shrubs belonging to the laurel family, Lauraceae. Our study tree species Cinnamomum osmophloeum Kaneh. (CO) has high economic value in Taiwan. The present study attempts to identify the gene resources of Cinnamomum osmophloeum Kaneh. by analyzing the nucleotide sequences of the partial noncoding internal transcribed spacer 2 (pITS2) of the ribosomal DNA and the trnL-trnF chloroplast genome. Seventy-three geographical strains of Cinnamomum osmophloeum, preserved in the Lien Hua-Chin Research Center of the Forestry Research Institute and the Hua-Lin Forestry Center of Chinese Culture University, were collected and analyzed by PCR amplification and DNA sequencing to study the genetic diversity and nucleotide sequence polymorphisms of the tested specimens. Our results allowed us to accurately identify the lineage of Cinnamomum osmophloeum and to conclude that the strains belonging to the Lien Hua-Chin Research Center had much higher genetic diversity than those preserved in the Hua-Lin Forestry Center. Multiple sequence alignments demonstrated that the variability of the nucleotide sequence polymorphisms for the pITS2 region was higher than those of the trnL intron and trnL-trnF intergenic spacer (IGS) regions among the 73 tested specimens of Cinnamomum osmophloeum. Cluster analyses, using the neighbor-joining and maximum parsimony methods, for the 73 tested geographical strains of Cinnamomum osmophloeum and species of Cinnamomum registered in the GenBank and EMBL databases were performed to demonstrate the genus and species distribution of the samples. Here, we describe the use of pITS2 polymorphisms as a genetic classifier and report the establishment of a DNA sequence database for CO gene resource identification. The sequence database described in this study can be used to identify CO specimens at the inter- or intraspecies level using pITS2 DNA sequences, which illustrates its value in gene resource identification. Our study results can be used further for correctly identifying the true Cinnamomum osmophloeum Kaneh.

1998 ◽  
Vol 25 (2‐3) ◽  
pp. 83-265 ◽  
Author(s):  
J. L. Bidwell ◽  
N. A. P. Wood ◽  
H. R. Morse ◽  
O. O. Olomolaiye ◽  
G. J. Laundy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Medelin Ocejo ◽  
Beatriz Oporto ◽  
José Luis Lavín ◽  
Ana Hurtado

AbstractCampylobacter, a leading cause of gastroenteritis in humans, asymptomatically colonises the intestinal tract of a wide range of animals.Although antimicrobial treatment is restricted to severe cases, the increase of antimicrobial resistance (AMR) is a concern. Considering the significant contribution of ruminants as reservoirs of resistant Campylobacter, Illumina whole-genome sequencing was used to characterise the mechanisms of AMR in Campylobacter jejuni and Campylobacter coli recovered from beef cattle, dairy cattle, and sheep in northern Spain. Genome analysis showed extensive genetic diversity that clearly separated both species. Resistance genotypes were identified by screening assembled sequences with BLASTn and ABRicate, and additional sequence alignments were performed to search for frameshift mutations and gene modifications. A high correlation was observed between phenotypic resistance to a given antimicrobial and the presence of the corresponding known resistance genes. Detailed sequence analysis allowed us to detect the recently described mosaic tet(O/M/O) gene in one C. coli, describe possible new alleles of blaOXA-61-like genes, and decipher the genetic context of aminoglycoside resistance genes, as well as the plasmid/chromosomal location of the different AMR genes and their implication for resistance spread. Updated resistance gene databases and detailed analysis of the matched open reading frames are needed to avoid errors when using WGS-based analysis pipelines for AMR detection in the absence of phenotypic data.


Database ◽  
2020 ◽  
Vol 2020 ◽  
Author(s):  
Conrad L Schoch ◽  
Stacy Ciufo ◽  
Mikhail Domrachev ◽  
Carol L Hotton ◽  
Sivakumar Kannan ◽  
...  

Abstract The National Center for Biotechnology Information (NCBI) Taxonomy includes organism names and classifications for every sequence in the nucleotide and protein sequence databases of the International Nucleotide Sequence Database Collaboration. Since the last review of this resource in 2012, it has undergone several improvements. Most notable is the shift from a single SQL database to a series of linked databases tied to a framework of data called NameBank. This means that relations among data elements can be adjusted in more detail, resulting in expanded annotation of synonyms, the ability to flag names with specific nomenclatural properties, enhanced tracking of publications tied to names and improved annotation of scientific authorities and types. Additionally, practices utilized by NCBI Taxonomy curators specific to major taxonomic groups are described, terms peculiar to NCBI Taxonomy are explained, external resources are acknowledged and updates to tools and other resources are documented. Database URL: https://www.ncbi.nlm.nih.gov/taxonomy


2002 ◽  
Vol 18 (9) ◽  
pp. 1274-1275 ◽  
Author(s):  
O. Buzko ◽  
K. M. Shokat

2013 ◽  
Vol 85 (4) ◽  
pp. 1439-1447 ◽  
Author(s):  
Jonas Aguiar ◽  
Horacio Schneider ◽  
Fatima Gomes ◽  
Jeferson Carneiro ◽  
Simoni Santos ◽  
...  

The tambaqui, Colossoma macropomum, is the most popular fish species used for aquaculture in Brazil but there is no study comparing genetic variation among native and farmed populations of this species. In the present study, we analyzed DNA sequences of the mitochondrial DNA to evaluate the genetic diversity among two wild populations, a fry-producing breeding stock, and a sample of fish farm stocks, all from the region of Santarém, in the west of the Brazilian state of Pará. Similar levels of genetic diversity were found in all the samples and surprisingly the breeding stock showed expressive representation of the genetic diversity registered on wild populations. These results contrast considerably with those of the previous study of farmed stocks in the states of Amapá, Pará, Piauí, and Rondônia, which recorded only two haplotypes, indicating a long history of endogamy in the breeding stocks used to produce fry. The results of the two studies show two distinct scenarios of tambaqui farming in the Amazon basin, which must be better evaluated in order to guarantee the successful expansion of this activity in the region, and the rest of Brazil, given that the tambaqui and its hybrids are now farmed throughout the country.


2020 ◽  
Vol 26 (2) ◽  
pp. 97
Author(s):  
Melta R. Fahmi ◽  
Eni Kusrini ◽  
Erma P. Hayuningtiyas ◽  
Shofihar Sinansari ◽  
Rudhy Gustiano

The wild betta fish is a potential ornamental fish export commodity normally caught by traders or hobbyists in the wild. However, the population of wild betta in nature has declined and become a threat for their sustainability. This research was conducted to analyze the genetic diversity, phylogenetic relationships, and molecular identification through DNA COI gene sequence of Indonesian wild betta fish. A total of 92 wild betta fish specimens were collected in this study. Amplification of COI genes was carried out using Fish F1, Fish R1, Fish F2, and Fish R2 primers. The genetic diversity and phylogenetic relationships were analyzed using MEGA version 5 software program. Species identification of the specimen was conducted using BLAST program with 98-100% similarity value of the DNA sequences to indicate the same species. Phylogenetic tree construction showed seven monophyletic clades and showed that Betta smaragdina was the ancestral species of genus Betta in Indonesian waters. Genetic distance among species ranged from 0.02 to 0.30, whereas intra-species genetic distance ranged from 0 to 6.54.


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