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Volume 14, Issue 10, October 2024
Investigation
ONeSAMP 3.0: estimation of effective population size via single nucleotide polymorphism data from one population
The effective size (Ne) is crucial in population genetics for assessing genetic diversity loss. Estimating Ne are limited. Hong et al. introduce ONeSAMP 3.0, an algorithm using approximate bayesian computation and local linear regression to estimate Ne from single population SNP data without extensive genetic information. Tested on simulated and real data, ONeSAMP 3.0 outperforms traditional methods and is adaptable to various biological contexts. Moreover, with parallel processing, it is both time and memory efficient, allowing for estimations for large datasets.
Functional and regulatory diversification of Period genes responsible for circadian rhythm in vertebrates
Segmentation-free measurement of locomotor frequency in Caenorhabditis elegans using image invariants
Loss of genetic variation and ancestral sex determination system in North American northern pike characterized by whole-genome resequencing
Revealing the evolutionary history and contemporary population structure of Pacific salmon in the Fraser River through genome resequencing
A comprehensive atlas of pig RNA editome across 23 tissues reveals RNA editing affecting interaction mRNA–miRNAs
QTL discovery for agronomic and quality traits in diploid potato clones using PotatoMASH amplicon sequencing
T and Z, partial seed coat patterning genes in common bean, provide insight into the structure and protein interactions of a plant MBW complex
Genomic prediction of the performance of tropical doubled haploid maize lines under artificial Striga hermonthica (Del.) Benth. infestation
Mutations in nuclear genes encoding mitochondrial ribosome proteins restore pollen fertility in S male-sterile maize
DNA methylation analysis reveals local changes in resistant and susceptible soybean lines in response to Phytophthora sansomeana
Genomic prediction of regional-scale performance in switchgrass (Panicum virgatum) by accounting for genotype-by-environment variation and yield surrogate traits
Cross-species transcriptomics reveals differential regulation of essential photosynthesis genes in Hirschfeldia incana
Vitamin B5 is a context-dependent dietary regulator of nociception
Chronic pain has an enormous impact on the quality of life of billions of patients, families, and caregivers worldwide. Current therapies do not adequately address pain for most patients. A basic understanding of the conserved genetic framework controlling pain may help us develop better, non-addictive pain therapies. Here, Hamoudi et al. identify new conserved and druggable analgesic targets using tissue-specific functional genomic screening of candidate “pain” genes in the fly.
Genomics of natural populations: gene conversion events reveal selected genes within the inversions of Drosophila pseudoobscura
The role of uncertainty and negative feedback loops in the evolution of induced immune defenses
Transcriptional repression and enhancer decommissioning silence cell cycle genes in postmitotic tissues
Some cells, such as neurons, must exist for the lifetime of an organism in a non-cycling state. Here, Fogarty et al. examine how the expression of cell cycle genes is robustly kept off in postmitotic cells. Using the wings, eyes, and brain of the fruit fly Drosophila melanogaster, as well as published work in the mouse retina, the authors provide evidence that stable gene repression alongside chromatin accessibility changes cooperate to prevent ectopic re-activation of cell cycle gene expression in postmitotic cells.
A large-scale in vivo screen to investigate the roles of human genes in Drosophila melanogaster
Complementary approaches to dissect late leaf rust resistance in an interspecific raspberry population
Entomophthovirus: an insect-derived iflavirus that infects a behavior-manipulating fungal pathogen of dipterans
In this manuscript, Coyle et al. report the discovery of Entomophthovirus, a virus infecting the fungal pathogen Entomophthora muscae. E. muscae itself infects flies, notably manipulating their behavior in various ways during the course of infection. The authors show that this virus infects E. muscae in laboratory cultures, providing evidence from RNA sequencing, electron microscopy, and patterns of RNA fragments generated by the fungal immune system to combat viral infection. Furthermore, they show that Entomophthovirus co-occurs with previously undetected E. muscae infection in published metagenomic studies. This study opens new questions about E. muscae infection and evolution.
Comparative genomics of Metarhizium brunneum strains V275 and ARSEF 4556: unraveling intraspecies diversity
Hypomorphic mutation in the large subunit of replication protein A affects mutagenesis by human APOBEC cytidine deaminases in yeast
Genome Report
A hybrid genome assembly of the endangered aye-aye (Daubentonia madagascariensis)
The aye-aye (Daubentonia madagascariensis) is the only extant member of the Daubentoniidae primate family. Versoza and Pfeifer present a novel, fully annotated, chromosome-level hybrid de novo assembly for the species – a community resource that will improve future conservation efforts as well as primate comparative analyses.
Highly contiguous genome assembly of Drosophila prolongata—a model for evolution of sexual dimorphism and male-specific innovations
Chromosome-scale genome assembly of the hunt bumble bee, Bombus huntii Greene, 1860, a species of agricultural interest
Snow alga Sanguina aurantia as revealed through de novo genome assembly and annotation
Pseudomolecule-scale genome assemblies of Drepanocaryum sewerzowii and Marmoritis complanata
Genomic diversity and evolution of the Hawaiian Islands endemic Kokia (Malvaceae)
Genome analysis of the esca-associated Basidiomycetes Fomitiporia mediterranea, Fomitiporia polymorpha, Inonotus vitis, and Tropicoporus texanus reveals virulence factor repertoires characteristic of white-rot fungi
Software and Data Resources
PyBrOpS: a Python package for breeding program simulation and optimization for multi-objective breeding
Plant breeding simulations have been used by breeders to assess the merits of alternative breeding strategies and assist in decision making. This paper introduces Python Breeding Optimizer and Simulator (PyBrOpS), a Python package capable of performing multi-objective optimization of breeding objectives and simulations of breeding pipelines. In this paper, Shrote and Thompson describe some of the main features of PyBrOpS and demonstrate its ability to map Pareto frontiers for breeding possibilities and perform multi-objective selection in a simulated breeding pipeline.