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Biology subjects

Copenhaver, G. P.

Publications and source records attributed to Copenhaver, G. P..

3 recordsLinked to original sources

Sea-level and climate changes drive lineage diversification in the imperiled Venus flytrap (Dionaea muscipula J. Ellis, Droseraceae)

Venus flytrap (Dionaea muscipula) is an insectivorous plant in the monotypic genus Dionaea, endemic to the Southeastern United States, and found in a small geographic range in North and South Carolina. Its unique morphology and natural history have intrigued biologists for centuries, yet the evolution of populations has not been adequately characterized. Population decline, driven primarily by disruptive land conversion, fire suppression, and illegal harvesting/poaching underscores the urgency of defining the genetic diversity in the present population to guide species conservation. We applied a genome-wide SNP dataset to analyze admixture and population structure and used coalescent modeling to trace the ancestry and migration of geographically distinct population clusters. Our population dynamics model supports four lineages, with the North Cape Fear Arch lineage as the ancestor of all lineages and two genetically distinct Sandhills lineages derived from the South Cape Fear Arch lineage independently at [~]13 Ma and [~]3 Ma, respectively, during peak climate optima periods and maximal sea level rise. Severe population decline events occurred among all lineages, with two ancient instant bottleneck population decline events in Sandhills lineages and two recent ones in the two Cape Fear Arch lineages, which contributed to the current genetic structure. Shorter peduncle lengths in Sandhills populations correspond with suspected local adaptation to Sandhills habitats.

evolutionary biology↗

DeepTetrad: high-throughput analysis of meiotic tetrads by deep learning in plants

Meiotic crossovers facilitate chromosome segregation and create new combinations of alleles in gametes. Crossover frequency varies along chromosomes and crossover interference limits the coincidence of closely spaced crossovers. Crossovers can be measured by observing the inheritance of linked transgenes expressing different colors of fluorescent protein in Arabidopsis pollen tetrads. Here we establish DeepTetrad, a deep learning-based image recognition package for pollen tetrad analysis that enables high-throughput measurements of crossover frequency and interference in individual plants. DeepTetrad will accelerate genetic dissection of mechanisms that control meiotic recombination.

plant biology↗

Meiotic DNA repair in the nucleolus employs a non-homologous end joining mechanism

Ribosomal RNA genes are arranged in large arrays with hundreds of rDNA units in tandem. These highly repetitive DNA elements pose a risk to genome stability since they can undergo non-allelic exchanges. During meiosis DNA double strand breaks (DSBs) are induced as part of the regular program to generate gametes. Meiotic DSBs initiate homologous recombination (HR) which subsequently ensures genetic exchange and chromosome disjunction. In Arabidopsis thaliana we demonstrate that all 45S rDNA arrays become transcriptionally active and are recruited into the nucleolus early in meiosis. This shields the rDNA from acquiring canonical meiotic chromatin modifications, meiotic cohesin and meiosis-specific DSBs. DNA breaks within the rDNA arrays are repaired in a RAD51-independent, but LIG4-dependent manner, establishing that it is non-homologous end joining (NHEJ) that maintains rDNA integrity during meiosis. Utilizing ectopically integrated rDNA repeats we validate our findings and demonstrate that the rDNA constitutes a HR-refractory genome environment.

molecular biology↗