Our view of genome size in Archaea and Bacteria has remained skewed as the data has been dominated by genomes of microorganisms that have been cultivated under laboratory settings. However, the continuous effort to catalog Earth's microbiomes, specifically propelled by recent extensive work on uncultivated microorganisms, provides an opportunity to revise our perspective on genome size distribution. We present a meta-analysis that includes 26,101 representative genomes from 3 published genomic databases; metagenomic assembled genomes (MAGs) from GEMs and stratfreshDB, and isolates from GTDB. Aquatic and host-associated microbial genomes present on average the smallest estimated genome sizes (3.1 and 3.0 Mbp, respectively). These are followed by terrestrial microbial genomes (average 3.7 Mbp), and genomes from isolated microorganisms (average 4.3 Mbp). On the one hand, aquatic and host-associated ecosystems present smaller genomes sizes in genera of phyla with genome sizes above 3 Mbp. On the other hand, estimated genome size in phyla with genomes under 3 Mbp showed no difference between ecosystems. Moreover, we observed that when using 95% average nucleotide identity (ANI) as an estimator for genetic units, only 3% of MAGs cluster together with genomes from isolated microorganisms. Although there are potential methodological limitations when assembling and binning MAGs, we found that in genome clusters containing both environmental MAGs and isolate genomes, MAGs were estimated only an average 3.7% smaller than isolate genomes. Even when assembly and binning methods introduce biases, estimated genome size of MAGs and isolates are very similar. Finally, to better understand the ecological drivers of genome size, we discuss on the known and the overlooked factors that influence genome size in different ecosystems, phylogenetic groups, and trophic strategies.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767057 | PMC |
http://dx.doi.org/10.3389/fmicb.2021.761869 | DOI Listing |
Alzheimers Dement
December 2024
Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
Background: White matter hyperintensities (WMH) are commonly observed on MRI in Alzheimer's disease (AD), but the molecular pathways underlying their relationships with the ATN biomarkers remain unclear. The aim of this study was to identify genetic variants that may modify the relationship between WMH and the ATN biomarkers.
Method: This genome-wide interaction study (GWIS) included individuals with AD, MCI, and normal cognition from ADNI (n = 1012).
Alzheimers Dement
December 2024
Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
Background: Genome-wide association studies (GWAS) in Alzheimer's disease (AD) leveraging endophenotypes beyond case/control diagnosis, such as brain amyloid β pathology, have shown promise in identifying novel variants and understanding their potential functional impact. In this study, we leverage two brain amyloid β pathology measurement modalities, PET imaging and neuropathology, to address sample size limitations and to discover novel genetic drivers of disease.
Method: We conducted a meta-analysis on an amyloid PET imaging GWAS (N = 7,036, 35% amyloid positive, 53.
Alzheimers Dement
December 2024
Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA.
Background: Common and rare variants in SORL1 have been associated with increased risk of Alzheimer's disease (AD). Since 2019, we have run an international collaborative research initiative to ascertain a Peruvian cohort for Alzheimer's disease and other related dementias for genetic studies (PeADI).
Method: A Peruvian family (4 AD cases and two mild cognitive impairment (MCI) cases) was recruited through the PeADI study.
Alzheimers Dement
December 2024
Department of Genetics and Genomics, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Background: Stroke, a cerebrovascular condition, and neurodegenerative diseases (ND) like Dementia, Multiple sclerosis, Parkinson's Disease, Amyotrophic Lateral Sclerosis are major types of neurological disorders, which are associated with increasing global morbidity and mortality burden. But to what extent shared genetic architecture is involved between stroke and ND is unknown.
Method: We investigated shared genetics between stroke (10 subtypes) and ND (6 diseases) using large scale Genome-Wide Association Study (GWAS) summary statistics data for Cross-Ancestry, European and South Asian samples including Indians.
Alzheimers Dement
December 2024
Xiangya Hospital, Central South University, Changsha, Hunan, China.
Background: Genetics plays an important role in dementia with Lewy bodies (DLB) and remains poorly understood. Previous research has identified several genes associated with DLB, including APOE, GBA, SNCA, BIN1, TMEM175, PLCG2, and CNTN1. To date, genetic studies on DLB have focused on Caucasian population.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!