scholarly journals Characterization of variability of the intergenic spacers cpDNA trnH–psbA, trnY–trnT AND rpoB–trnC in representatives of Pisum L. (Tribe Fabeae)

2020 ◽  
Vol 18 (4) ◽  
pp. 445-456
Author(s):  
Elena A. Dyachenko ◽  
Elena V. Semenova ◽  
Elena Z. Kochieva

Background. Plant chloroplast genome have conservative structure, but its nucleotide sequence is polymorphous due to which cpDNA fragments are often used in taxonomic and phylogenetic studies. Despite the widespread distribution and use of Fabeae species, mainly peas (Pisum), data on the intraspecific diversity of cpDNA fragments are almost absent. The aim of the work was to analyze the intraspecific variability of three cpDNA spacers in Pisum. Materials and methods. As a result of the work, intergenic spacers trnYtrnT, trnHpsbA and rpoBtrnC in 38 accessions of the Pisum and related Fabeae species were sequenced. Despite the fact that the selected chloroplast fragments are generally considered to be sufficiently variable in plants and are often used for phylogenetic studies, Pisum accessions have been found to have no intraspecific differences in two of the three spacers sequences analyzed. Results and conclusion. A total 97 SNPs were detected in Pisum accessions, seven of them distinguished P. sativum from P. fulvum. The most variable of the analyzed fragments was the intergenic spacer rpoBtrnC. Based on rpoBtrnC sequence 17 haplotypes in P. sativum and four haplotypes in P. fulvum were revealed. The cpDNA sequencing data were used for a phylogenetic analysis. On the obtained tree Vavilovia formosa accession formed a separate branch from pea accessions. All Pisum accessions fall in one cluster, split into distinct P. sativum and P. fulvum subclusters (BI = 99%).

1997 ◽  
Vol 118 (2) ◽  
pp. 125-135 ◽  
Author(s):  
N. CHANTER ◽  
N. COLLIN ◽  
N. HOLMES ◽  
M. BINNS ◽  
J. MUMFORD

The 16S-23S RNA gene intergenic spacers of isolates of Streptococcus equi (n=5), S. zooepidemicus (n=5), S. equisimilis (n=3) and S. dysgalactiae (n=2) were sequenced and compared. There were distinct regions within the spacer, arranged in the order 1–9 for all S. equi and one S. zooepidemicus isolate and 1,2 and 4–9 for the remaining isolates. Region 4 was identical to the tRNAala gene found in the 16S-23S intergenic spacers of other streptococci. Regions 1, 5, 6 and 7 had distinct variations, each conserved in different isolates. However, amongst the intergenic spacers there were different combinations of variant regions, suggesting a role for DNA recombination in their evolution. The intergenic spacer of all isolates of S. equi and one S. zooepidemicus isolate were almost identical. Primers derived from the variant sequences of regions 1 and 5 to 6 were used to group all S. zooepidemicus (n=17) and S. equi (n=5) into 1 of 8 types by polymerase chain reaction; three S. zooepidemicus isolates typed the same as S. equi. S. equi and S. zooepidemicus were clearly distinguishable from S. equisimilis and S. dysgalactiae which had shorter regions 5 and 6 and no region 7. Most homology for the group C sequences was found in previously published sequences for the 16S-23S intergenic spacers of S. anginosis, S. constellatus, S. intermedius, S. salivarius and S. agalactiae. A 75-90 nucleotide length shared with S. anginosus and S. intermedius in opposite orientations in the two main variants of region 6 supported the role for DNA recombination in the evolution of the spacer. The 16S-23S intergenic spacers indicate that S. zooepidemicus was the archetypal species for S. equi and that both are genetically more distant from S. equisimilis and S. dysgalactiae. The intergenic spacer can be used to identify specifically the group C. streptococci and as an epidemiological marker for S. zooepidemicus.


Viruses ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1338
Author(s):  
Morgan E. Meissner ◽  
Emily J. Julik ◽  
Jonathan P. Badalamenti ◽  
William G. Arndt ◽  
Lauren J. Mills ◽  
...  

Human immunodeficiency virus type 2 (HIV-2) accumulates fewer mutations during replication than HIV type 1 (HIV-1). Advanced studies of HIV-2 mutagenesis, however, have historically been confounded by high background error rates in traditional next-generation sequencing techniques. In this study, we describe the adaptation of the previously described maximum-depth sequencing (MDS) technique to studies of both HIV-1 and HIV-2 for the ultra-accurate characterization of viral mutagenesis. We also present the development of a user-friendly Galaxy workflow for the bioinformatic analyses of sequencing data generated using the MDS technique, designed to improve replicability and accessibility to molecular virologists. This adapted MDS technique and analysis pipeline were validated by comparisons with previously published analyses of the frequency and spectra of mutations in HIV-1 and HIV-2 and is readily expandable to studies of viral mutation across the genomes of both viruses. Using this novel sequencing pipeline, we observed that the background error rate was reduced 100-fold over standard Illumina error rates, and 10-fold over traditional unique molecular identifier (UMI)-based sequencing. This technical advancement will allow for the exploration of novel and previously unrecognized sources of viral mutagenesis in both HIV-1 and HIV-2, which will expand our understanding of retroviral diversity and evolution.


2021 ◽  
pp. 1-4
Author(s):  
Yu-Wei Tseng ◽  
Chi-Chun Huang ◽  
Chih-Chiang Wang ◽  
Chiuan-Yu Li ◽  
Kuo-Hsiang Hung

Abstract Epilobium belongs to the family Onagraceae, which consists of approximately 200 species distributed worldwide, and some species have been used as medicinal plants. Epilobium nankotaizanense is an endemic and endangered herb that grows in the high mountains in Taiwan at an elevation of more than 3300 m. Alpine herbs are severely threatened by climate change, which leads to a reduction in their habitats and population sizes. However, only a few studies have addressed genetic diversity and population genetics. In the present study, we developed a new set of microsatellite markers for E. nankotaizanense using high-throughput genome sequencing data. Twenty polymorphic microsatellite markers were developed and tested on 30 individuals collected from three natural populations. These loci were successfully amplified, and polymorphisms were observed in E. nankotaizanense. The number of alleles per locus (A) ranged from 2.000 to 3.000, and the observed (Ho) and expected (He) heterozygosities ranged from 0.000 to 0.929 and from 0.034 to 0.631, respectively. The developed polymorphic microsatellite markers will be useful in future conservation genetic studies of E. nankotaizanense as well as for developing an effective conservation strategy for this species and facilitating germplasm collections and sustainable utilization of other Epilobium species.


2006 ◽  
Vol 106 (3) ◽  
pp. 297-306 ◽  
Author(s):  
A. Llorens ◽  
M.J. Hinojo ◽  
R. Mateo ◽  
M.T. González-Jaén ◽  
F.M. Valle-Algarra ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Rui-Qing Lin ◽  
Li Shu ◽  
Guang-Hui Zhao ◽  
Tian Cheng ◽  
Shang-Shu Zou ◽  
...  

The characteristics of the intergenic spacer rDNAs (IGS rDNAs) ofOesophagostomum dentatumandO. quadrispinulatumisolated from pigs in different geographical locations in Mainland China were determined, and the phylogenetic relationships of the two species were reconstructed using the IGS rDNA sequences. The organization of the IGS rDNA sequences was similar to their organization in other eukaryotes. The 28S-18S IGS rDNA sequences of bothO. dentatumandO. quadrispinulatumwere found to have variable lengths, that is, 759–762 bp and 937–1128 bp, respectively. All of the sequences contained direct repeats and inverted repeats. The length polymorphisms were related to the different numbers and organization of repetitive elements. Different types and numbers of repeats were found between the two pig nodule species, and two IGS structures were found withinO. quadrispinulatum. Phylogenetic analysis showed that allO. dentatumisolates were clustered into one clade, butO. quadrispinulatumisolates from different origins were grouped into two distinct clusters. These results suggested independent species and the existence of genotypes or subspecies within pig nodule worms. Different types and numbers of repeats and IGS rDNA structures could serve as potential markers for differentiating these two species of pig nodule worms.


BioResources ◽  
2014 ◽  
Vol 9 (3) ◽  
Author(s):  
Jasmina Ćilerdžić ◽  
Mirjana Stajić ◽  
Jelena Vukojević ◽  
Nikola Lončar

2019 ◽  
Author(s):  
Willie Anderson dos Santos Vieira ◽  
Priscila Alves Bezerra ◽  
Anthony Carlos da Silva ◽  
Josiene Silva Veloso ◽  
Marcos Paz Saraiva Câmara ◽  
...  

ABSTRACTColletotrichumis among the most important genera of fungal plant pathogens. Molecular phylogenetic studies over the last decade have resulted in a much better understanding of the evolutionary relationships and species boundaries within the genus. There are now approximately 200 species accepted, most of which are distributed among 13 species complexes. Given their prominence on agricultural crops around the world, rapid identification of a large collection ofColletotrichumisolates is routinely needed by plant pathologists, regulatory officials, and fungal biologists. However, there is no agreement on the best molecular markers to discriminate species in each species complex. Here we calculate the barcode gap distance and intra/inter-specific distance overlap to evaluate each of the most commonly applied molecular markers for their utility as a barcode for species identification. Glyceraldehyde-3-phosphate dehydrogenase (GAPDH), histone-3 (HIS3), DNA lyase (APN2), intergenic spacer between DNA lyase and the mating-type locusMAT1-2-1 (APN2/MAT-IGS), and intergenic spacer between GAPDH and a hypothetical protein (GAP2-IGS) have the properties of good barcodes, whereas sequences of actin (ACT), chitin synthase (CHS-1) and nuclear rDNA internal transcribed spacers (nrITS) are not able to distinguish most species. Finally, we assessed the utility of these markers for phylogenetic studies using phylogenetic informativeness profiling, the genealogical sorting index (GSI), and Bayesian concordance analyses (BCA). Although GAPDH, HIS3 and β-tubulin (TUB2) were frequently among the best markers, there was not a single set of markers that were best for all species complexes. Eliminating markers with low phylogenetic signal tends to decrease uncertainty in the topology, regardless of species complex, and leads to a larger proportion of markers that support each lineage in the Bayesian concordance analyses. Finally, we reconstruct the phylogeny of each species complex using a minimal set of phylogenetic markers with the strongest phylogenetic signal and find the majority of species are strongly supported as monophyletic.


2018 ◽  
Author(s):  
Arghavan Bahadorinejad ◽  
Ivan Ivanov ◽  
Johanna W Lampe ◽  
Meredith AJ Hullar ◽  
Robert S Chapkin ◽  
...  

AbstractWe propose a Bayesian method for the classification of 16S rRNA metagenomic profiles of bacterial abundance, by introducing a Poisson-Dirichlet-Multinomial hierarchical model for the sequencing data, constructing a prior distribution from sample data, calculating the posterior distribution in closed form; and deriving an Optimal Bayesian Classifier (OBC). The proposed algorithm is compared to state-of-the-art classification methods for 16S rRNA metagenomic data, including Random Forests and the phylogeny-based Metaphyl algorithm, for varying sample size, classification difficulty, and dimensionality (number of OTUs), using both synthetic and real metagenomic data sets. The results demonstrate that the proposed OBC method, with either noninformative or constructed priors, is competitive or superior to the other methods. In particular, in the case where the ratio of sample size to dimensionality is small, it was observed that the proposed method can vastly outperform the others.Author summaryRecent studies have highlighted the interplay between host genetics, gut microbes, and colorectal tumor initiation/progression. The characterization of microbial communities using metagenomic profiling has therefore received renewed interest. In this paper, we propose a method for classification, i.e., prediction of different outcomes, based on 16S rRNA metagenomic data. The proposed method employs a Bayesian approach, which is suitable for data sets with small ration of number of available instances to the dimensionality. Results using both synthetic and real metagenomic data show that the proposed method can outperform other state-of-the-art metagenomic classification algorithms.


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