scholarly journals Comparative genomic study on the complete plastomes of four officinal Ardisia species in China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chunzhu Xie ◽  
Wenli An ◽  
Shanshan Liu ◽  
Yuying Huang ◽  
Zerui Yang ◽  
...  

AbstractArdisia Sw. (Primulaceae) is naturally distributed in tropical and subtropical areas. Most of them possess edible and medicinal values and are popular in clinical and daily use in China. However, ambiguous species delineation and genetic information limit the development and utilization of this genus. In this study, the chloroplast genomes of four Ardisia species, namely A. gigantifolia Stapf, A. crenata Sims, A. villosa Roxb. and A. mamillata Hance, were sequenced, annotated, and analyzed comparatively. All the four chloroplast genomes possess a typical quadripartite structure, and each of the genomes is about 156 Kb in size. The structure and gene content of the Ardisia plastomes were conservative and showed low sequence divergence. Furthermore, we identified five mutation hotspots as candidate DNA barcodes for Ardisia, namely, trnT-psbD, ndhF-rpl32, rpl32-ccsA, ccsA-ndhD and ycf1. Phylogenetic analysis based on the whole-chloroplast genomes data showed that Ardisia was sister to Tapeinosperma Hook. f. In addition, the results revealed a great topological profile of Ardisia’s with strong support values, which matches their geographical distribution patterns. Summarily, our results provide useful information for investigations on taxonomic differences, molecular identification, and phylogenetic relationships of Ardisia plants.

2020 ◽  
Vol 9 (33) ◽  
Author(s):  
Saswati Biswas ◽  
Indranil Biswas

ABSTRACT Here, we report the complete genome sequence of Streptococcus mutans strain MD, which produces potent mutacins capable of inhibiting streptococci. MD is a relatively uncharacterized strain whose genome information was unavailable. This study provides useful information for comparative genomic study and for understanding the repertoire of mutacins in S. mutans.


F1000Research ◽  
2013 ◽  
Vol 2 ◽  
pp. 265 ◽  
Author(s):  
Oksana Lukjancenko ◽  
Martin Christen Thomsen ◽  
Mette Voldby Larsen ◽  
David Wayne Ussery

PanFunPro is a tool for pan-genome analysis that integrates functional domains from three Hidden Markov Models (HMM) collections, and uses this information to group homologous proteins into families based on functional domain content. We use PanFunPro to compare a set of Lactobacillus and Streptococcus genomes. The example demonstrates that this method can provide analysis of differences and similarities in protein content within user-defined sets of genomes. PanFunPro can find various applications in a comparative genomic study, starting with the basic comparison of newly sequenced isolates to already existing strains, and an estimation of shared and specific genomic content. Furthermore, it can potentially be used in the determination of target sequences for in silico bacterial identification, as well as for epidemiological studies.


mBio ◽  
2021 ◽  
Author(s):  
Laura N. Rusche

Candida auris is an emerging fungal pathogen that is thermotolerant and often resistant to standard antifungal treatments. To trace its evolutionary history, the Sanyal lab conducted a comparative genomic study focusing on the positions of centromeres in C. auris and eight other species from the Clavispora / Candida clade of yeasts (A.


2021 ◽  
Author(s):  
Abhirami Krishnamoorthy Sundaresan ◽  
Keerthana Vincent ◽  
Ganesh Babu Malli Mohan ◽  
Jayapradha Ramakrishnan

Abstract Klebsiella pneumoniae is an important ESKAPE pathogen that causes sepsis, urinary tract infections, peritonitis, intraabdominal abscesses and upper respiratory infections. The strains exhibiting multidrug resistance and hypervirulence are priority pathogens for which immediate treatment and dissemination prevention strategies are required. The hypervirulent drug resistant K. pneumoniae is associated with high mortality rates. Numbers of environmental strains also have acquired virulence genes. Hence to gain a better understanding of the spread of antimicrobial resistant genes across the country over 10 years and to delineate environmental and clinical K. pneumoniae, a comparative genomics investigation was made. This is the first comparative genomic study using India isolates of K. pneumoniae, which includes publicly available WGS of 144 clinical and 9 environmental strains collected during 2010–2020. The blaCTX-M-15 was widely distributed in clinical isolates since 2013 and increased over time from 5 % to 30 %. The co-existence of blaNDM and blaOXA was observed in 22 % of clinical strains. Diverse serotypes were found among the 153 K. pneumoniae isolates, of which, K51 (28%) and K64 (21.56%) were majorly found. Most of the K51 isolates belong to ST231 (93.02 %). And more than 50% of KL51 strains were found to have both rmpA and magA. The number of associated virulence genes (rmpA, magA, entB, ybtS, iutA, alls,) appeared to be higher in ST231-KL51 and ST23-KL1 isolates. Of greatest concern, these virulence genes are observed in environmental strains aswell. More than 97% of clinical strains have yersinibactin (ybtS), aerobactin (iutA) genes. Importantly, 98% of ESBL and 62% of carbapenamasen isolates harboured ybtS, iutA and rmpA, magA respectively. The IncF conjugative plasmids are predominant in K. pneumoniae, which contribute to the spread of AMR, and virulence genes. The increasing trend in hypervirulent strains was observed from 2017. The phylogenetic analysis separates the environmental from clinical strains and is characterized by uncommon STs and serotypes. Thus, the study illustrates the K. pneumoniae genomic surveillance in India representing the phylogenetic evolution, STs, AMR, virulence, serotype to provide more attention for immediate treatment and preventing the dissemination of K. pneumoniae.


PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0258019
Author(s):  
Ishtiaque Ahammad ◽  
Mohammad Uzzal Hossain ◽  
Anisur Rahman ◽  
Zeshan Mahmud Chowdhury ◽  
Arittra Bhattacharjee ◽  
...  

As the COVID-19 pandemic continues to ravage across the globe and take millions of lives and like many parts of the world, the second wave of the pandemic hit Bangladesh, this study aimed at understanding its causative agent, SARS-CoV-2 at the genomic and proteomic level and provide precious insights about the pathogenesis, evolution, strengths and weaknesses of the virus. As of Mid-June 2021, over 1500 SARS-CoV-2 genomesequences have been deposited in the GISAID database from Bangladesh which were extracted and categorized into two waves. By analyzing these genome sequences, it was discovered that the wave-2 samples had a significantly greater average rate of mutation/sample (30.79%) than the wave-1 samples (12.32%). Wave-2 samples also had a higher frequency of deletion, and transversion events. During the first wave, the GR clade was the most predominant but it was replaced by the GH clade in the latter wave. The B.1.1.25 variant showed the highest frequency in wave-1 while in case of wave-2, the B.1.351.3 variant, was the most common one. A notable presence of the delta variant, which is currently at the center of concern, was also observed. Comparison of the Spike protein found in the reference and the 3 most common lineages found in Bangladesh namely, B.1.1.7, B.1.351, B.1.617 in terms of their ability to form stable complexes with ACE2 receptor revealed that B.1.617 had the potential to be more transmissible than others. Importantly, no indigenous variants have been detected so far which implies that the successful prevention of import of foreign variants can diminish the outbreak in the country.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Yun Song ◽  
Yongjiang Zhang ◽  
Jin Xu ◽  
Weimin Li ◽  
MingFu Li

AbstractThe pantropical plant genus Dalbergia comprises approximately 250 species, most of which have a high economic and ecological value. However, these species are among the most threatened due to illegal logging and the timber trade. To enforce protective legislation and ensure effective conservation of Dalbergia species, the identity of wood being traded must be accurately validated. For the rapid and accurate identification of Dalbergia species and assessment of phylogenetic relationships, it would be highly desirable to develop more effective DNA barcodes for these species. In this study, we sequenced and compared the chloroplast genomes of nine species of Dalbergia. We found that these chloroplast genomes were conserved with respect to genome size, structure, and gene content and showed low sequence divergence. We identified eight mutation hotspots, namely, six intergenic spacer regions (trnL-trnT, atpA-trnG, rps16-accD, petG-psaJ, ndhF-trnL, and ndhG-ndhI) and two coding regions (ycf1a and ycf1b), as candidate DNA barcodes for Dalbergia. Phylogenetic analyses based on whole chloroplast genome data provided the best resolution of Dalbergia, and phylogenetic analysis of the Fabaceae showed that Dalbergia was sister to Arachis. Based on comparison of chloroplast genomes, we identified a set of highly variable markers that can be developed as specific DNA barcodes.


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