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PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e10888
Author(s):  
Anshika Tyagi ◽  
Sandhya Sharma ◽  
Harsha Srivastava ◽  
Nagendra Kumar Singh ◽  
Kishor Gaikwad

Ascorbate peroxidase (APX) is a member of the family of heme-containing peroxidases having a similar structure with Cytochrome c peroxidase (CCP) that effectively scavenge cytosolic and chloroplastic hydrogen peroxide (H2O2) under various stresses. In this study, computational characterization and homology analysis of APX protein from waterlogging tolerant (ICPL 84023) and sensitive (ICP 7035) pigeon pea genotypes were carried out resulting in 100% homology with Glycine max in case of former and 99% in later genotypes respectively with 97.39% alignment coverage among each other. The model structure was further refined by various tools like PROCHECK, ProSA, and Verify3D. The planned model of the APX enzyme was then tested to dock with H2O2along with molecular dynamics (MD) simulation analysis. The docked complex of ICPL 84023 showed the best G-score (23.39 kcal/mol) in comparison to ICP 7035 (16.74 kcal/mol) depicting the higher production of APX for scavenging reactive oxygen species (ROS) production making this genotype more tolerant. The important binding residues in the ICPL 84023-H2O2complex (SER1, THR4, GLU23, and GLY13) have shown less fluctuation than the ICP 7035-H2O2 complex (SER1, THR4, and GLU23). Overall, our results showed that amino acid residue glycine in ICPL 84023 APX gene has a high binding affinity with H2O2 which could be a key factor associated with waterlogging stress tolerance in pigeon pea.


PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247806
Author(s):  
Steven Russum ◽  
Katie Jing Kay Lam ◽  
Nicholas Alan Wong ◽  
Vasu Iddamsetty ◽  
Kevin J. Hendargo ◽  
...  

Upon discovery of the first archaeal species in the 1970s, life has been subdivided into three domains: Eukarya, Archaea, and Bacteria. However, the organization of the three-domain tree of life has been challenged following the discovery of archaeal lineages such as the TACK and Asgard superphyla. The Asgard Superphylum has emerged as the closest archaeal ancestor to eukaryotes, potentially improving our understanding of the evolution of life forms. We characterized the transportomes and their substrates within four metagenome-assembled genomes (MAGs), that is, Odin-, Thor-, Heimdall- and Loki-archaeota as well as the fully sequenced genome of Candidatus Prometheoarchaeum syntrophicum strain MK-D1 that belongs to the Loki phylum. Using the Transporter Classification Database (TCDB) as reference, candidate transporters encoded within the proteomes were identified based on sequence similarity, alignment coverage, compatibility of hydropathy profiles, TMS topologies and shared domains. Identified transport systems were compared within the Asgard superphylum as well as within dissimilar eukaryotic, archaeal and bacterial organisms. From these analyses, we infer that Asgard organisms rely mostly on the transport of substrates driven by the proton motive force (pmf), the proton electrochemical gradient which then can be used for ATP production and to drive the activities of secondary carriers. The results indicate that Asgard archaea depend heavily on the uptake of organic molecules such as lipid precursors, amino acids and their derivatives, and sugars and their derivatives. Overall, the majority of the transporters identified are more similar to prokaryotic transporters than eukaryotic systems although several instances of the reverse were documented. Taken together, the results support the previous suggestions that the Asgard superphylum includes organisms that are largely mixotrophic and anaerobic but more clearly define their metabolic potential while providing evidence regarding their relatedness to eukaryotes.


Plant Disease ◽  
2020 ◽  
Author(s):  
Kai Sun ◽  
Huixin Lu ◽  
Feijun Fan ◽  
Pengjun Zhang ◽  
Guangfu Liu ◽  
...  

Chenopodium quinoa mitovirus 1 (CqMV1), a member of Mitovirus in the family Mitoviridae, is the first identified plant mitovirus (Nerva et al., 2019), which has been reported to be capable of infecting different cultivars of Chenopodium quinoa including Cherry vanilla quinoa, GQU-7356 campesino Quinoa, and Wild (Nerva et al., 2019). Cultivation of C. quinoa has increased notably in China, with good agricultural and industrial results due to its nutritional value (Vega-Gálvez et al., 2010). In September 2019, leaf mottling and plant stunting were observed on C. quinoa (cv. Longli 1) plants (Fig. S1) in a field of about 0.9 acre in Qingyuan County, Zhejiang Province, China. About 33.3% (401/1200) of C. quinoa showed leaf mottling and plant stunting symptoms. To identify viral agents potentially associated with this disease, a sRNA library from a symptomatic leaf sample was generated and sequenced. Total RNA was extracted using RNAiso Plus (TaKaRa, Tokyo, Japan) and the library was constructed using the Truseq Small RNA Library preparation kit (Illumina, CA, USA). Approximately 14 million raw reads were obtained from the Illumina MiSeq platform. The clean reads were obtained and assembled using the VirusDetect pipeline v1.6 (Zheng et al., 2017) for virus identification. A total of 22 assembled contigs, with sizes ranging from 42 to 306 nt, could be aligned to the genome of CqMV1 isolate Che1 (accession no. MF375475) with nucleotide identities of 96.3% to 99.1% and a cumulative alignment coverage of the CqMV1 genome of 84.0%. Except for CqMV1, no other viruses or viroids were found in the sample. Based on the assembled contigs and the reference CqMV1 genome, we designed two primer pairs (P1F: 5′- TCCGAATCTCATTTTCGGAGTGGGTAGA -3′ and P1R: 5′- CAGACTTTAGATCAAATGAATACACATGT -3′; P2F: 5′- TCCAGTATACCTGTGGATAGTACTTTCA -3′and P2R: 5′- CGATCTCTGCTACCAAATACTCGTGAGCC -3′) to obtain the genome sequence of CqMV1 isolate Zhejiang (CqMV1-ZJ). Total RNA from the CqMV1-infected C. quinoa plant was subject to reverse transcription (RT) using AMV reverse transcriptase (TaKaRa, Tokyo, Japan) with random primers N6 (TaKaRa, Tokyo, Japan). The cDNA was then used as the template to amplify two regions in the genome, which together covered the entire genome of CqMV1-ZJ, using high-fidelity DNA polymerase KOD-Plus-Neo (Toyobo, Osaka, Japan). The PCR products were cloned into the pLB vector (Tiangen, Beijing, China) and Sanger sequenced (YouKang Co., Ltd, China). The obtained sequences were assembled into a 2,730-nt contig, representing the complete genome of CqMV1-ZJ (GenBank accession no. MT089917). Pairwise sequence comparison using the Sequence Demarcation Tool v.1.2 (Muhire et al., 2014) revealed that CqMV1-ZJ shared a sequence identity of 96.9% with the sole CqMV1 sequence available in GenBank (MF375475), thus confirming the identity of the virus as CqMV1. Furthermore, we performed RT- PCR detection on 10 collected samples using the primer pair P1F and P1R. All seven symptomatic plants tested positive for CqMV1 infection, whereas three asymptomatic plants were CqMV1-free (Fig. S1), suggesting a possible association between the virus and the symptoms observed. However, in the study by Nerva et al, two CqMV1 infected accessions (cv. Regalona and IPSP1) were found asymptomatic (Nerva et al., 2019), we therefore speculated that the symptom caused by CqMV1 varies between different C. quinoa varieties or its growth environment. To the best of our knowledge, this is the first report of CqMV1 infecting C. quinoa in China. Its ability to be transmitted through seeds (Nerva et al., 2019) and the possible pathogenicity in C. quinoa raises a serious concern for the local C. quinoa industry. The findings reported here will assist further investigations on the epidemiology and biological characteristics of CqMV1 in Zhejiang, China.


2020 ◽  
Author(s):  
Rosa Estela Quiroz-Castañeda ◽  
Hugo Aguilar-Díaz ◽  
Diana Laura Flores-García ◽  
Fernando Martínez-Ocampo ◽  
Itzel Amaro-Estrada

AbstractMycoplasma wenyonii and ‘Candidatus Mycoplasma haemobos’ have been described as major hemoplasmas that infect cattle worldwide. Currently, three bovine hemoplasma genomes are known. The aim of this work was to know the main genomic characteristics and the evolutionary relationships between hemoplasmas, as well as to provide a list of epitopes identified by immunoinformatics that could be used as vaccine candidates against bovine hemoplasmosis. So far, there is not a vaccine to prevent this disease that impact economically in cattle production around the world.In this work, we used comparative genomics to analyze the genomes of the hemoplasmas so far reported. As a result, we confirm that ‘Ca. M haemobos’ INIFAP01 is a divergent species from M. wenyonii INIFAP02 and M. wenyonii Massachusetts. Although both strains of M. wenyonii have genomes with similar characteristics (length, G+C content, tRNAs and position of rRNAs) they have different structures (alignment coverage and identity of 51.58 and 79.37%, respectively).The correct genomic characterization of bovine hemoplasmas, never studied before, will allow to develop better molecular detection methods, to understand the possible pathogenic mechanisms of these bacteria and to identify epitopes sequences that could be used in the vaccine design.


GigaScience ◽  
2019 ◽  
Vol 8 (11) ◽  
Author(s):  
Ekaterina Osipova ◽  
Nikolai Hecker ◽  
Michael Hiller

Abstract Background Transposons and other repetitive sequences make up a large part of complex genomes. Repetitive sequences can be co-opted into a variety of functions and thus provide a source for evolutionary novelty. However, comprehensively detecting ancestral repeats that align between species is difficult because considering all repeat-overlapping seeds in alignment methods that rely on the seed-and-extend heuristic results in prohibitively high runtimes. Results Here, we show that ignoring repeat-overlapping alignment seeds when aligning entire genomes misses numerous alignments between repetitive elements. We present a tool, RepeatFiller, that improves genome alignments by incorporating previously undetected local alignments between repetitive sequences. By applying RepeatFiller to genome alignments between human and 20 other representative mammals, we uncover between 22 and 84 Mb of previously undetected alignments that mostly overlap transposable elements. We further show that the increased alignment coverage improves the annotation of conserved non-exonic elements, both by discovering numerous novel transposon-derived elements that evolve under constraint and by removing thousands of elements that are not under constraint in placental mammals. Conclusions RepeatFiller contributes to comprehensively aligning repetitive genomic regions, which facilitates studying transposon co-option and genome evolution. Source code: https://github.com/hillerlab/GenomeAlignmentTools


Author(s):  
Florian P Breitwieser ◽  
Steven L Salzberg

Abstract Summary Pavian is a web application for exploring classification results from metagenomics experiments. With Pavian, researchers can analyze, visualize and transform results from various classifiers—such as Kraken, Centrifuge and MethaPhlAn—using interactive data tables, heatmaps and Sankey flow diagrams. An interactive alignment coverage viewer can help in the validation of matches to a particular genome, which can be crucial when using metagenomics experiments for pathogen detection. Availability and implementation Pavian is implemented in the R language as a modular Shiny web app and is freely available under GPL-3 from http://github.com/fbreitwieser/pavian. Contact [email protected]


2019 ◽  
Author(s):  
Ekaterina Osipova ◽  
Nikolai Hecker ◽  
Michael Hiller

AbstractTransposons and other repetitive sequences make up a large part of complex genomes. Repetitive sequences can be co-opted into a variety of functions and thus provide a source for evolutionary novelty. However, comprehensively detecting ancestral repeats that align between species is difficult since considering all repeat-overlapping seeds in alignment methods that rely on the seed-and-extend heuristic results in prohibitively high runtimes. Here, we show that ignoring repeat-overlapping alignment seeds when aligning entire genomes misses numerous alignments between repetitive elements. We present a tool – RepeatFiller – that improves genome alignments by incorporating previously-undetected local alignments between repetitive sequences. By applying RepeatFiller to genome alignments between human and 20 other representative mammals, we uncover between 22 and 84 megabases of previously-undetected alignments that mostly overlap transposable elements. We further show that the increased alignment coverage improves the annotation of conserved non-exonic elements, both by discovering numerous novel transposon-derived elements that evolve under constraint and by removing thousands of elements that are not under constraint in placental mammals. In conclusion, RepeatFiller contributes to comprehensively aligning repetitive genomic regions, which facilitates studying transposon co-option and genome evolution.Source codehttps://github.com/hillerlab/GenomeAlignmentTools


2018 ◽  
Author(s):  
Fiona B. Tamburini ◽  
Tessa M. Andermann ◽  
Ekaterina Tkatchenko ◽  
Fiona Senchyna ◽  
Niaz Banaei ◽  
...  

AbstractBloodstream infection is the most common infectious complication in hematopoietic cell transplantation recipients. To evaluate the genomic concordance of bloodstream pathogens and bacterial strains within the intestinal microbiome using whole genome sequencing, we developed StrainSifter, a bioinformatic pipeline to compare nucleotide variation between bacterial isolate strains and stool metagenomes. We applied StrainSifter to bloodstream isolates and stool metagenome samples from hematopoietic stem cell transplant recipients with bloodstream infections. StrainSifter is designed to identify single nucleotide variants between isolate and metagenomic short reads using stringent alignment, coverage, and variant frequency criteria for strain comparison. We identified enteric BSI isolates that were highly concordant with those in the gut microbiota, as well as highly concordant strains of typically non-enteric bacteria. These findings demonstrate the utility of StrainSifter in strain matching and provide a more precise investigation of the intestine as a reservoir of diverse pathogens capable of causing bloodstream infections.


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