We introduce a new software program, MaxTemp, that increases precision of the temporal method for estimating effective population size (N) in genetic monitoring programs, which are increasingly used to systematically track changes in global biodiversity. Scientists and managers are typically most interested in N for individual generations, either to match with single-generation estimates of census size (N) or to evaluate consequences of specific management actions or environmental events. Systematically sampling every generation produces a time series of single-generation estimates of temporal F ( , which can then be used to estimate N; however, these estimates have relatively low precision because each reflects just a single episode of genetic drift. Systematic sampling also produces an array of multigenerational temporal estimates that collectively contain a great deal of information about genetic drift that, however, can be difficult to interpret. Here, we show how additional information contained in multigenerational temporal estimates can be leveraged to increase precision of for individual generations. Using information from one additional generation before and after a target generation can reduce the standard deviation of ( ) by up to 50%, which not only tightens confidence intervals around but also reduces the incidence of extreme estimates, including infinite estimates of N. Practical application of MaxTemp is illustrated with data for a long-term genetic monitoring program for California delta smelt. A second feature of MaxTemp, which allows one to estimate N in an unsampled generation using a combination of temporal and single-sample estimates of N from sampled generations, is also described and evaluated.
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http://dx.doi.org/10.1111/1755-0998.14057 | DOI Listing |
AoB Plants
January 2025
INRAE, URP3F, 86600 Lusignan, France.
Perennial grasses' reproductive phenology profoundly impacts plant morphogenesis, biomass production, and perenniality in natural ecosystems and cultivated grasslands. Complex interactions between vegetative and reproductive development complicate grass phenology prediction for various environments and genotypes. This work aims to analyse genetic × environment interactions effects on tiller growth and reproductive development in Three perennial ryegrass cultivars, Bronsyn, Carvalis, and Tryskal, were grown from seedling to heading under four inductive conditions.
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January 2025
Save Our Seas Foundation Shark Research Center, Halmos College of Arts & Sciences Nova Southeastern University Dania Florida USA.
Large-bodied pelagic sharks are key regulators of oceanic ecosystem stability, but highly impacted by severe overfishing. One such species, the shortfin mako shark (), a globally widespread, highly migratory predator, has undergone dramatic population reductions and is now Endangered (IUCN Red List), with Atlantic Ocean mako sharks in particular assessed by fishery managers as overfished and in need of urgent, improved management attention. Genomic-scale population assessments for this apex predator species have not been previously available to inform management planning; thus, we investigated the population genetics of mako sharks across the Atlantic using a bi-organelle genomics approach.
View Article and Find Full Text PDFACS Agric Sci Technol
January 2025
Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-60174 Norrköping, Sweden.
Plant infiltration techniques, particularly agroinfiltration, have transformed plant science and biotechnology by enabling transient gene expression for genetic engineering of plants or genomic studies. Recently, the use of infiltration has expanded to introduce nanomaterials and polymers in plants to enable nonnative functionalities. Despite its wide use, the impact of the infiltration process on plant physiology needs to be better understood.
View Article and Find Full Text PDFAssessments of genetic diversity, structure, history, and effective population size ( ) are critical for the conservation of imperiled populations. The lesser prairie-chicken () has experienced declines due to habitat loss, degradation, and fragmentation in addition to substantial population fluctuations with unknown effects on genetic diversity. Our objectives were to: (i) compare genetic diversity across three temporally discrete sampling periods (2002, 2007-2010, and 2013-2014) that are characterized by low or high population abundance; (ii) examine genetic diversity at lek and lek cluster spatial scales; (ii) identify potential bottlenecks and characterize genetic structure and relatedness; and (iii) estimate the regional .
View Article and Find Full Text PDFJCEM Case Rep
February 2025
University of Utah Health, Division of Endocrinology, Salt Lake City, UT 84108, USA.
Glucocorticoid resistance syndrome (GRS) is caused by inactivating pathogenic variants in the glucocorticoid receptor gene . Reduced glucocorticoid receptor signaling leads to decreased tissue sensitivity to cortisol and resultant biochemical hypercortisolism without the classic clinical features of Cushing syndrome. Patients variably present with signs and symptoms of mineralocorticoid and androgen excess from ACTH overstimulation of the adrenal cortex.
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