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1.
Arch Microbiol ; 203(2): 499-511, 2021 Mar.
Article in English | MEDLINE | ID: mdl-32964256

ABSTRACT

In this report, physical and chemical properties, and total arsenic (As) concentrations were analyzed in agricultural (MASE) and mining soils (SMI) in the State of Guanajuato, México. Additionally, a metagenomic analysis of both types of soils was the bases for the identification and selection of bacteria and fungi resistant to As. The SMI soil showed higher concentration of As (39 mg kg-1) as compared to MASE soil (15 mg kg-1). The metagenome showed a total of 175,240 reads from both soils. MASE soil showed higher diversity of bacteria, while the SMI soil showed higher diversity of fungi. 16S rRNA analysis showed that the phylum Proteobacteria showed the highest proportion (39.6% in MASE and 36.4% in SMI) and Acidobacteria was the second most representative (24.2% in SMI and 11.6% in MASE). 18S rRNA analysis, showed that the phylum Glomeromycota was found only in the SMI soils (11.6%), while Ascomycota was the most abundant, followed by Basidiomycota, and Zygomycota, in both soils. Genera Bacillus and Penicillium were able to grow in As concentrations as high as 5 and 10 mM, reduced As (V) to As (III), and removed As at 9.8% and 12.1% rates, respectively. When aoxB, arsB, ACR3(1), ACR3(2,) and arrA genes were explored, only the arsB gene was identified in Bacillus sp., B. simplex, and B. megaterium. In general, SMI soils showed more microorganisms resistant to As than MASE soils. Bacteria and fungi selected in this work may show potential to be used as bioremediation agents in As contaminated soils.


Subject(s)
Arsenic/toxicity , Bacteria/genetics , Biodiversity , Fungi/genetics , Soil Microbiology , Soil/chemistry , Agriculture , Bacteria/classification , Bacteria/drug effects , Fungi/classification , Fungi/drug effects , Metagenome , Mexico , Microbiota/drug effects , Microbiota/genetics , Mining , RNA, Ribosomal, 16S/genetics , Soil Pollutants/analysis , Soil Pollutants/toxicity
2.
Arch Virol ; 162(12): 3705-3715, 2017 Dec.
Article in English | MEDLINE | ID: mdl-28856619

ABSTRACT

The complete genome of a Trichoplusia ni granulovirus (TnGV) is described and analyzed. The genome contains 175,360 bp (KU752557), becoming the third largest genome within the genus Betabaculovirus, smaller only than the Xestia c-nigrum GV (XecnGV) (178,733 pb) and the Pseudaletia unipuncta GV (PsunGV) (176,677 pb) genomes. The TnGV genome has a 39.81% C+G content and a total of 180 ORFs were identified, 96 of them in the granulin gene direction and 84 in the opposite direction. A total of 94.38% of the ORFs showed high identity with those of ClanGV, HaGV, and SlGV. Eight homologous regions (hrs) were identified as well as one apoptosis inhibitor (IAP-3). Interestingly, three viral enhancing factors (VEFs) were located in TnGV genome: VEF-1 (orf153), VEF-3 (orf155), and VEF-4 (orf164), additional to another metalloprotease (orf37). Two ORFs were unique to TnGV (orf100 and orf101) and another one was shared by only TnGV and AgseGV (orf2). Eleven of the deduced proteins showed high identity with proteins from nucleopolyhedroviruses, three with proteins from ascoviruses, and one with an entomopoxvirus protein. The largest deduced protein contains 1,213 amino acids (orf43) and the smallest deduced protein contains only 50 amino acids (orf143). Sequence identity and phylogenetic analyses showed that the closest related genomes to TnGV are, to date, those of PsunGV and XecnGV. This genome analysis may contribute to functional research on TnGV, and may form the bases for the utilization of this betabaculovirus as a pest control agent.


Subject(s)
Baculoviridae/classification , Baculoviridae/genetics , Genome, Viral , Genomics , Lepidoptera/virology , Animals , Baculoviridae/isolation & purification , Base Composition , Open Reading Frames , Phylogeny , Sequence Analysis, DNA , Sequence Homology , Synteny , Viral Proteins/genetics , Virulence Factors/genetics
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