In this study we sequenced and annotated the complete mitochondrial genome of the invasive reptile parasite using Illumina DNA sequencing. The length of the mitogenome was 15,320 bp and had a GC content of 33.1%. The mitogenome contained 13 protein-coding genes, two ribosomal RNA genes, and 22 tRNA genes, the order of which was diagnostic of Pancrustacean mitogenomes. A phylogenetic tree constructed from the 13 protein-coding genes of and 26 other Pancrustacean mitogenomes supported the placement of as part of the monophyletic subclass Pentastomida within the Maxillopoda and sister to the subclass Branchiura.
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http://dx.doi.org/10.1080/23802359.2023.2224461 | DOI Listing |
PLoS One
January 2025
Department of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro, Italy.
Nematodes are abundant and ubiquitous animals which are poorly known at intraspecific level. This work represents the first attempt to fill the gap on basic knowledge of genetic variability and differentiation in Protostrongylus oryctolagi, a nematode parasite of lagomorphs. 68 cox1 sequences were obtained from brown hares collected in five locations in Northern and Central Italy, highlighting the presence of a high amount of genetic variation inside this species.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA.
Background: The mitochondrial cascade hypothesis suggests that mitochondrial dysfunction plays an important role in the pathogenesis of Alzheimer's disease dementia. Recent data have shown that mitochondrial DNA copy number (mtDNAcn) in human blood is associated with dementia risk and cognitive function, but which specific cognitive measures or domains are associated with mitochondrial dysfunction and whether this relationship is affected by health deterioration such as physical frailty or mitochondrial somatic mutations is not clear.
Methods: We measured mtDNAcn and heteroplasmies using fastMitoCalc and MitoCaller, respectively, from UK Biobank Whole Genome Sequencing (WGS) data at study entry (2006-2010).
Background: Our Alzheimer Disease Metabolomics Consortium (ADMC), part of the Accelerating Medicines Partnership for AD (AMP-AD) and in partnership with AD Neuroimaging Initiative (ADNI), applied state-of-the-art metabolomics and lipidomics technologies combined with genomic and imaging data to map metabolic failures across the trajectory of the disease. Our studies confirmed that peripheral metabolic changes influenced by the exposome inform about cognitive changes, brain imaging changes, and ATN markers for disease confirming that peripheral and central changes are connected, in part through the metabolome.
Methods: To map the biochemical changes in AD, we used various targeted and untargeted metabolic platforms to profile ∼800 postmortem brain tissue, and ∼ 5000 blood samples.
Environmental DNA (eDNA) analysis has become a popular conservation tool for detecting rare and elusive species. eDNA assays typically target mitochondrial DNA (mtDNA) due to its high copy number per cell and its ability to persist in the environment longer than nuclear DNA. Consequently, the development of eDNA assays has relied on mitochondrial reference sequences available in online databases, or in cases where such data are unavailable, de novo DNA extraction and sequencing of mtDNA.
View Article and Find Full Text PDFDiscov Oncol
January 2025
Department of Urology, Beijing TianTan Hospital, Capital Medical University, No. 119 South 4 Ring West Road, Fengtai District, 100070, Beijing, China.
Background: Although pentatricopeptide repeat domain 1 (PTCD1) has been found to modulate mitochondrial metabolic and oxidative phosphorylation, its contribution in the growth of clear cell renal cell carcinoma (ccRCC) remains unknown.
Methods: The Cancer Genome Atlas (TCGA) dataset was utilized to examine the transcriptional alterations, patient characteristics, clinical outcomes, as well as pathway activation of PTCD1. The Weighted Gene Co-expression Network Analysis (WGCNA) was performed to investigate potential genes that associated with PTCD1.
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