Subject: Genetics Table of Contents for February 2025 Oxford Academic
 
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Oxford Academic
 
 
 
 
New issue alert
 
 
 
 
Experimental and Computational Methods: A Call for Papers
 
GENETICS, the flagship journal of the Genetics Society of America, is calling for submission of papers for a Special Issue on Experimental and Computational Methods.

Current research in genetics comprises analyses of single genes up to those that are genomic in scale, with high-throughput sequencing, phenotyping and other approaches routinely generating massive amounts of data. The ability to use these genetic and genomic data to advance knowledge requires advances in both experimental and computational methods. This Special Issue will highlight both types of methods as well as studies that benchmark and compare existing experimental or computational tools.

Editors Stan Fields (University of Washington, USA), Maria Chikina (University of Pittsburgh, USA), and Konrad Lohse (University of Edinburgh, UK) will oversee this Special Issue. The submission deadline is March 1, 2025.

Learn more and submit your research today.
 
 
 
 
 
Genetics  
Volume 229 Issue 2
 
February 2025
 
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Review
 
 
 
 
Balancing selfing and outcrossing: the genetics and cell biology of nematodes with three sexual morphs 
 
Sally Adams, Sophie Tandonnet, Andre Pires-daSilva
 
 
 
Brief Investigation
 
 
 
 
Cellular Genetics
 
 
 
 
Coenzyme Q improves mitochondrial and muscle dysfunction caused by CUG expanded repeats in Caenorhabditis elegans 
 
Joana Teixeira, Anu-Mari Harju, Alaa Othman, Ove Eriksson, Brendan J Battersby ...
 
 
 
Population and Evolutionary Genetics
 
 
 
 
On the rate of aneuploidy reversion in a wild yeast model  
 
James Hose, Qi Zheng, Nathaniel P Sharp, Audrey P Gasch
 
 
 
Investigation
 
 
 
 
Cellular Genetics
 
 
 
 
Acentric chromosome congression and alignment on the metaphase plate via kinetochore-independent forces 
 
Hannah Vicars, Alison Mills, Travis Karg, William Sullivan
 
Featured
 
 
Proteolytic regulation of mitochondrial magnesium channel by m-AAA protease and prohibitin complex 
 
Alaumy Joshi, Rachel A Stanfield, Andrew T Spletter, Vishal M Gohil
 

Joshi et al. recently showed that perturbation in cardiolipin (CL) levels destabilizes the mitochondrial magnesium channel, MRS2. However, the mechanisms regulating MRS2 stability are unknown. In this study, the authors utilized yeast mutants of mitochondrial proteases to identify an evolutionarily conserved m-AAA protease, Yta10, responsible for degrading Mrs2. Deleting Yta10 restores Mrs2 abundance in CL-deficient yeast cells. The authors show that these findings from yeast apply to mammalian cells and, thus, have significant implications for Barth syndrome, a genetic disorder characterized by decreased CL.

 
 
 
 
 
Gene Expression
 
 
 
 
Two H3K23 histone methyltransferases, SET-32 and SET-21, function synergistically to promote nuclear RNAi-mediated transgenerational epigenetic inheritance in Caenorhabditis elegans 
 
Anna Zhebrun, Julie Z Ni, Laura Corveleyn, Siddharth Ghosh Roy, Simone Sidoli ...
 
 
 
Genome and Systems Biology
 
 
 
 
Linking molecular mechanisms to their evolutionary consequences: a primer 
 
Rok Grah, Calin C Guet, Gasper TkaÄik, Mato Lagator
 
 
 
Genome Integrity and Transmission
 
 
 
 
A mutation in DNA polymerase gamma harbors a shortened lifespan and high sensitivity to mutagens in the filamentous fungus Neurospora crassa 
 
Ryouhei Yoshihara, Yuzuki Shimakura, Satoshi Kitamura, Katsuya Satoh, Manami Sato ...
 
 
 
Molecular Genetics of Development
 
 
 
 
Metaxin-2 tunes mitochondrial transportation and neuronal function in Drosophila 
 
Ting Zhang, Ling Li, Xiaoyu Fan, Xinyi Shou, Yina Ruan ...
 
 
 
The C. elegans LON-1 protein requires its CAP domain for function in regulating body size and BMP signaling 
 
Maria Victoria Serrano, Stéphanie Cottier, Lianzijun Wang, Sergio Moreira-Antepara, Anthony Nzessi ...
 
 
 
 
 
Population and Evolutionary Genetics
 
 
 
 
Different complex regulatory phenotypes underlie hybrid male sterility in divergent rodent crosses 
 
Kelsie E Hunnicutt, Colin M Callahan, Sara Keeble, Emily C Moore, Jeffrey M Good ...
 
 
 
Maintenance of long-term transposable element activity through regulation by nonautonomous elements 
 
Adekanmi Daniel Omole, Peter Czuppon
 
 
 
Spatially explicit estimation of recent migration rates in plants using genotypic data 
 
Igor J Chybicki, Juan J Robledo-Arnuncio
 
 
 
Statistical Genetics and Genomics
 
 
 
 
Genomic prediction of heterosis, inbreeding control, and mate allocation in outbred diploid and tetraploid populations 
 
Jeffrey B Endelman
 
Featured
 
 
MalKinID: A classification model for identifying malaria parasite genealogical relationships using identity-by-descent 
 
Wesley Wong, Lea Wang, Stephen F Schaffner, Xue Li, Ian Cheeseman ...
 

MalKinID is a new classification model designed to identify malaria genealogical relationships using identity-by-descent (IBD). Malaria genomic epidemiologists have utilized IBD to quantify genetic relatedness, evaluate differences in transmission, and characterize parasite interpopulation movement. However, interpreting the IBD and genetic relatedness between parasites can be challenging. This study developed a classification model that leverages genetic relatedness to infer genealogical relationships to aid in the interpretation of the genetic relatedness networks currently used by the field and provide a genetics-based foundation for reconstructing malaria transmission history.

 
Featured
 
 
Global genotype by environment prediction competition reveals that diverse modeling strategies can deliver satisfactory maize yield estimates 
 
Jacob D Washburn, José Ignacio Varela, Alencar Xavier, Qiuyue Chen, David Ertl ...
 

Predicting crop yield is critical to decision making for farmers, plant breeders, and researchers. A corn yield prediction competition was organized using publicly available data generated by the Genomes to Fields (G2F) initiative. Contestants formed teams and submitted predictive models using diverse approaches. The winning team used a combination of machine learning and quantitative genetic statistics, but many other viable methods were also submitted. The results represent a wealth of potential avenues for research and improvement of crop yield modeling.

 
 
 
Correction
 
 
 
 
Correction to: A review of multimodal deep learning methods for genomic-enabled prediction in plant breeding 
 
 
 
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