PeerJ


Publications
8

First report of ‘Candidatus Phytoplasma asteris’ associated with yellowing, scorching and decline of almond trees in India

Citation
Gupta et al. (2023). PeerJ 11
Names
Ca. Phytoplasma Ca. Phytoplasma asteris
Abstract
The almond, a commercially important tree nut crop worldwide, is native to the Mediterranean region. Stone fruit trees are affected by at least 14 ‘Candidatus Phytoplasma’ species globally, among which ‘Candidatus Phytoplasma asteris’ is one of the most widespread phytoplasma infecting Prunus dulcis, causing aster yellows disease. Recently, almond plantations of Nauni region were consistently affected by phytoplasma, as evidenced by visible symptoms, fluorescent microscopic studies and molecular

Extensive microbial diversity within the chicken gut microbiome revealed by metagenomics and culture

Citation
Gilroy et al. (2021). PeerJ 9
Names
“Ureaplasma intestinipullorum” “Ventrenecus stercoripullorum” “Ventrenecus” “Ventrenecus avicola” “Ventricola gallistercoris” “Ventricola” “Ventricola intestinavium” “Ventrimonas merdavium” “Ventrisoma” “Ventrisoma faecale” “Ventrousia” “Ventrousia excrementavium” “Yaniella excrementavium” “Yaniella excrementigallinarum” “Alectryocaccomicrobium” “Alectryocaccobium” “Galloscillospiraceae” “Limivivens” “Allolimicola stercorigallinarum” “Allolimicola” “Alectryobacillus merdavium” “Alectryobacillus” “Gemmiger faecavium” “Barnesiella excrementigallinarum” “Blautia stercoravium” “Desulfovibrio intestinigallinarum” “Limosilactobacillus merdigallinarum” “Acinetobacter avistercoris” “Anaerobiospirillum pullistercoris” “Gemmiger excrementipullorum” “Evtepia faecigallinarum” “Anaerofilum excrementigallinarum” “Acutalibacter pullistercoris” “Barnesiella excrementavium” “Evtepia faecavium” “Agathobaculum merdavium” “Eisenbergiella pullistercoris” “Tetragenococcus pullicola” “Alistipes intestinigallinarum” “Luteimonas excrementigallinarum” “Intestinimonas merdavium” “Sphingobacterium stercorigallinarum” “Rubneribacter avistercoris” “Rothia avicola” “Companilactobacillus pullicola” “Tidjanibacter faecipullorum” “Ruania gallistercoris” “Fournierella merdipullorum” “Gemmiger excrementavium” “Atopostipes pullistercoris” “Lactobacillus pullistercoris” “Janibacter merdipullorum” “Mucispirillum faecigallinarum” “Ligilactobacillus excrementavium” “Collinsella stercoripullorum” “Microbacterium stercoravium” “Mediterraneibacter merdipullorum” “Mediterraneibacter pullicola” “Fournierella merdigallinarum” “Mediterraneibacter merdigallinarum” “Limosilactobacillus excrementigallinarum” “Agathobaculum intestinipullorum” “Brevibacterium intestinavium” “Brachybacterium merdavium” “Desulfovibrio intestinavium” “Bariatricus faecipullorum” “Alistipes avicola” “Phocaeicola faecigallinarum” “Blautia merdipullorum” “Desulfovibrio gallistercoris” “Fournierella merdavium” “Fournierella excrementigallinarum” “Mailhella merdavium” “Nosocomiicoccus stercorigallinarum” “Eisenbergiella merdigallinarum” “Ligilactobacillus avistercoris” “Eisenbergiella merdavium” “Alistipes stercoravium” “Dietzia intestinipullorum” “Mediterraneibacter faecipullorum” “Mediterraneibacter faecigallinarum” “Dietzia intestinigallinarum” “Anaerostipes avistercoris” “Blautia merdavium” “Phocaeicola excrementigallinarum” “Corynebacterium faecigallinarum” “Mediterraneibacter excrementavium” “Acutalibacter stercorigallinarum” “Blautia stercorigallinarum” “Butyricicoccus avistercoris” “Eisenbergiella stercoravium” “Mediterraneibacter vanvlietii” “Acetatifactor stercoripullorum” “Borkfalkia faecipullorum” “Hungatella pullicola” “Blautia pullistercoris” “Anaerostipes excrementavium” “Fusicatenibacter merdavium” “Anaerotignum merdipullorum” “Mediterraneibacter stercoripullorum” “Borkfalkia excrementigallinarum” “Faecalibacterium gallistercoris” “Mediterraneibacter pullistercoris” “Limosilactobacillus intestinipullorum” “Intestinimonas stercoravium” “Merdibacter merdigallinarum” “Gemmiger stercoripullorum” “Borkfalkia stercoripullorum” “Enterocloster excrementipullorum” “Merdibacter merdavium” “Eisenbergiella intestinipullorum” “Gemmiger stercoravium” “Ruthenibacterium merdavium” “Mediterraneibacter excrementigallinarum”
Abstract
Background The chicken is the most abundant food animal in the world. However, despite its importance, the chicken gut microbiome remains largely undefined. Here, we exploit culture-independent and culture-dependent approaches to reveal extensive taxonomic diversity within this complex microbial community. Results We performed metagenomic sequencing of fifty chicken faecal samples from two breeds and analysed these, alongside all (n = 582) relevant publicly available chicken metagenomes, to c

“Candidatus Trichorickettsia mobilis”, a Rickettsiales bacterium, can be transiently transferred from the unicellular eukaryote Paramecium to the planarian Dugesia japonica

Citation
Modeo et al. (2020). PeerJ 8
Names
Ca. Trichorickettsia mobilis
Abstract
Most of the microorganisms responsible for vector-borne diseases (VBD) have hematophagous arthropods as vector/reservoir. Recently, many new species of microorganisms phylogenetically related to agents of VBD were found in a variety of aquatic eukaryotic hosts; in particular, numerous new bacterial species related to the genus Rickettsia (Alphaproteobacteria, Rickettsiales) were discovered in protist ciliates and other unicellular eukaryotes. Although their pathogenicity for humans and terrestri

Differing responses of red abalone (Haliotis rufescens) and white abalone (H. sorenseni) to infection with phage-associated Candidatus Xenohaliotis californiensis

Citation
Vater et al. (2018). PeerJ 6
Names
Ca. Xenohaliotis californiensis
Abstract
The Rickettsiales-like prokaryote and causative agent of Withering Syndrome (WS)—Candidatus Xenohaliotis californiensis (Ca. Xc)—decimated black abalone populations along the Pacific coast of North America. White abalone—Haliotis sorenseni—are also susceptible to WS and have become nearly extinct in the wild due to overfishing in the 1970s. Candidatus Xenohaliotis californiensis proliferates within epithelial cells of the abalone gastrointestinal tract and causes clinical signs of starvation. In

Genetic analysis of ‘Candidatus Phytoplasma aurantifolia’ associated with witches’ broom on acid lime trees

Citation
Al-Ghaithi et al. (2018). PeerJ 6
Names
Ca. Phytoplasma aurantifolia
Abstract
“Candidatus Phytoplasma aurantifolia” is associated with witches’ broom disease of lime in Oman and the UAE. A previous study showed that an infection by phytoplasma may not necessarily result in the physical appearance of witches’ broom symptoms in some locations in Oman and the UAE. This study investigated whether phytoplasma strains belonging to “Ca. P. aurantifolia” (based on the 16S rRNA gene analysis) in locations where disease symptoms are expressed are different from phytoplasma in locat

Genomic comparisons of a bacterial lineage that inhabits both marine and terrestrial deep subsurface systems

Citation
Jungbluth et al. (2017). PeerJ 5
Names
“Desulfopertinax” “Desulfopertinax cowenii” Desulforudis audaxviator Ts
Abstract
It is generally accepted that diverse, poorly characterized microorganisms reside deep within Earth’s crust. One such lineage of deep subsurface-dwelling bacteria is an uncultivated member of the Firmicutes phylum that can dominate molecular surveys from both marine and continental rock fracture fluids, sometimes forming the sole member of a single-species microbiome. Here, we reconstructed a genome from basalt-hosted fluids of the deep subseafloor along the eastern Juan de Fuca Ridge flank and

Comparative genomics of Synechococcus and proposal of the new genus Parasynechococcus

Citation
Coutinho et al. (2016). PeerJ 4
Names
Parasynechococcus
Abstract
Synechococcusis among the most important contributors to global primary productivity. The genomes of several strains of this taxon have been previously sequenced in an effort to understand the physiology and ecology of these highly diverse microorganisms. Here we present a comparative study ofSynechococcusgenomes. For that end, we developed GenTaxo, a program written in Perl to perform genomic taxonomy based on average nucleotide identity, average amino acid identity and dinucleotide signatures,