98%
921
2 minutes
20
A promising recent development in molecular biology involves viewing the genome as a mini-ecosystem, where genetic elements are compared to organisms and the surrounding cellular and genomic structures are regarded as the local environment. Here, we critically evaluate the prospects of ecological neutral theory (ENT), a popular model in ecology, as it applies at the genomic level. This assessment requires an overview of the controversy surrounding neutral models in community ecology. In particular, we discuss the limitations of using ENT both as an explanation of community dynamics and as a null hypothesis. We then analyse a case study in which ENT has been applied to genomic data. Our central finding is that genetic elements do not conform to the requirements of ENT once its assumptions and limitations are made explicit. We further compare this genome-level application of ENT to two other, more familiar approaches in genomics that rely on neutral mechanisms: Kimura's molecular neutral theory and Lynch's mutational-hazard model. Interestingly, this comparison reveals that there are two distinct concepts of neutrality associated with these models, which we dub 'fitness neutrality' and 'competitive neutrality'. This distinction helps to clarify the various roles for neutral models in genomics, for example in explaining the evolution of genome size.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/mec.13219 | DOI Listing |
Mol Biol Rep
September 2025
ICAR-Central Institute of Fisheries Education, Versova, Mumbai, 400061, India.
Background: Labeo fimbriatus (Bloch, 1795) is a medium-sized South Asian minor carp with ecological significance and emerging aquaculture potential, particularly in polyculture systems with Indian major carps. Despite its wide distribution, it remains underrepresented in phylogenetic studies, and limited genomic resources are available. Here, we report the complete mitochondrial genome sequence of L.
View Article and Find Full Text PDFMol Biol Rep
September 2025
Department of Pharmacology, Govt. College of Pharmacy, Rohru, Shimla, Himachal Pradesh, 171207, India.
Alzheimer's disease (AD) is the most common, complex, and untreatable form of dementia which is characterized by severe cognitive, motor, neuropsychiatric, and behavioural impairments. These symptoms severely reduce the quality of life for patients and impose a significant burden on caregivers. The existing therapies offer only symptomatic relief without addressing the underlying silent pathological progression.
View Article and Find Full Text PDFActa Parasitol
September 2025
Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Collaborative Innovation Center for Eco-Environment, Hebei Key Laboratory of Molecular and Cellular Biology, College of Life Science, Hebei Normal University, Shijiazhuang, 050024, China.
Purpose: This study aimed to identify and analyze the role of Ferric reductase inBlastocystis sp. subtype 2 (ST2) and explore the relationship between the parasite and iron metabolism.
Methods: The location of Ferric reductase in Blastocystis sp.
Nucleic Acids Res
September 2025
School of Microbiology, University College Cork, Cork, T12 Y337, Ireland.
The genomes of 43 distinct lactococcal strains were reconstructed by a combination of long- and short-read sequencing, resolving the plasmid complement and methylome of these strains. The genomes comprised 43 chromosomes of approximately 2.5 Mb each and 269 plasmids ranging from 2 to 211 kb (at an average occurrence of 6 per strain).
View Article and Find Full Text PDFNucleic Acids Res
September 2025
School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, No. 100 Waihuanxi Road, Guangzhou 510006, China.
The 5' untranslated region (5'UTR) plays a crucial regulatory role in messenger RNA (mRNA), with modified 5'UTRs extensively utilized in vaccine production, gene therapy, etc. Nevertheless, manually optimizing 5'UTRs may encounter difficulties in balancing the effects of various cis-elements. Consequently, multiple 5'UTR libraries have been created, and machine learning models have been employed to analyze and predict translation efficiency (TE) and protein expression, providing insights into critical regulatory features.
View Article and Find Full Text PDF