scholarly journals Short Communication: Phylogenetic analysis of mango (Mangifera) in Northern Sumatra based on gene sequences of cpDNA trnL-F intergenic spacer

2017 ◽  
Vol 18 (2) ◽  
pp. 715-719 ◽  
Author(s):  
FITMAWATI FITMAWATI
Insects ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 668
Author(s):  
Tinghao Yu ◽  
Yalin Zhang

More studies are using mitochondrial genomes of insects to explore the sequence variability, evolutionary traits, monophyly of groups and phylogenetic relationships. Controversies remain on the classification of the Mileewinae and the phylogenetic relationships between Mileewinae and other subfamilies remain ambiguous. In this study, we present two newly completed mitogenomes of Mileewinae (Mileewa rufivena Cai and Kuoh 1997 and Ujna puerana Yang and Meng 2010) and conduct comparative mitogenomic analyses based on several different factors. These species have quite similar features, including their nucleotide content, codon usage of protein genes and the secondary structure of tRNA. Gene arrangement is identical and conserved, the same as the putative ancestral pattern of insects. All protein-coding genes of U. puerana began with the start codon ATN, while 5 Mileewa species had the abnormal initiation codon TTG in ND5 and ATP8. Moreover, M. rufivena had an intergenic spacer of 17 bp that could not be found in other mileewine species. Phylogenetic analysis based on three datasets (PCG123, PCG12 and AA) with two methods (maximum likelihood and Bayesian inference) recovered the Mileewinae as a monophyletic group with strong support values. All results in our study indicate that Mileewinae has a closer phylogenetic relationship to Typhlocybinae compared to Cicadellinae. Additionally, six species within Mileewini revealed the relationship (U. puerana + (M. ponta + (M. rufivena + M. alara) + (M. albovittata + M. margheritae))) in most of our phylogenetic trees. These results contribute to the study of the taxonomic status and phylogenetic relationships of Mileewinae.


2007 ◽  
Vol 73 (20) ◽  
pp. 6682-6685 ◽  
Author(s):  
Daniel P. R. Herlemann ◽  
Oliver Geissinger ◽  
Andreas Brune

ABSTRACT The bacterial candidate phylum Termite Group I (TG-1) presently consists mostly of “Endomicrobia,” which are endosymbionts of flagellate protists occurring exclusively in the hindguts of termites and wood-feeding cockroaches. Here, we show that public databases contain many, mostly undocumented 16S rRNA gene sequences from other habitats that are affiliated with the TG-1 phylum but are only distantly related to “Endomicrobia.” Phylogenetic analysis of the expanded data set revealed several diverse and deeply branching lineages comprising clones from many different habitats. In addition, we designed specific primers to explore the diversity and environmental distribution of bacteria in the TG-1 phylum.


1997 ◽  
Vol 83 (3) ◽  
pp. 417 ◽  
Author(s):  
Kimberly S. Reece ◽  
Mark E. Siddall ◽  
Eugene M. Burreson ◽  
John E. Graves

1992 ◽  
Vol 41 (4) ◽  
pp. 483 ◽  
Author(s):  
Timothy P. Friedlander ◽  
Jerome C. Regier ◽  
Charles Mitter

2002 ◽  
Vol 23 (2) ◽  
pp. 288-292 ◽  
Author(s):  
Martı́n Garcı́a-Varela ◽  
Michael P Cummings ◽  
Gerardo Pérez-Ponce de León ◽  
Scott L Gardner ◽  
Juan P Laclette

2003 ◽  
Vol 126 (1) ◽  
pp. 119-123 ◽  
Author(s):  
Christophe Noël ◽  
Corinne Peyronnet ◽  
Delphine Gerbod ◽  
Virginia P Edgcomb ◽  
Pilar Delgado-Viscogliosi ◽  
...  

2020 ◽  
Vol 21 (7) ◽  
Author(s):  
Andi Yasmon ◽  
YEVA ROSANA ◽  
DONI USMAN ◽  
LUH INTA PRILANDARI ◽  
TEGUH SARRY HARTONO

Abstract. Yasmon A, Rosana Y, Usman D, Prilandari LI, Hartono TS. 2020. Short Communication: Identification and phylogenetic analysis of Corynebacterium diphtheriae isolates from Jakarta, Indonesia based on partial rpoB gene. Biodiversitas 21: 3070-3075. Indonesia is a developing country with the greatest potential of diphtheria, so accurate identification is needed to detect C. diphtheriae. The genetic relationship analysis is important to be determined so that this transmittable disease can be prevented. In this study, we reported the identification and phylogenetic analysis of C. diphtheriae based on partial rpoB gene. Twelve samples from throat swabs of diphtheria suspected patients from 2018 to 2019 were used in this study. The result of VITEK 2 ANC-Automated Testing identified that all isolates were C. diphtheriae. However, the identification based on partial rpoB gene analysis showed that only 10 out of 12 isolates were C. diphtheriae, while 2 other isolates were C. argentoratense. Of 10 C. diphtheriae strains/isolates, 2 strains were unique for Indonesia. Thus, it is needed to evaluate the accuracy of VITEK 2 ANC-Automated Testing and to conduct further comprehensive studies on the genetic relationships of C. diphtheriae strains based on multiple virulence genes, multilocus sequence typing and/or whole-genome analysis.


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