Analysis of multi-year breeding program data revealed that the genetic architecture of an intermediate wheatgrass population was highly polygenic for both domestication and agronomic traits, supporting the use of genomic selection for new crop domestication. Perennial grains have the potential to provide food for humans and decrease the negative impacts of annual agriculture. Intermediate wheatgrass (IWG, Thinopyrum intermedium, Kernza®) is a promising perennial grain candidate that The Land Institute has been breeding since 2003. We evaluated four consecutive breeding cycles of IWG from 2016 to 2020 with each cycle containing approximately 1100 unique genets. Using genotyping-by-sequencing markers, quantitative trait loci (QTL) were mapped for 34 different traits using genome-wide association analysis. Combining data across cycles and years, we found 93 marker-trait associations for 16 different traits, with each association explaining 0.8-5.2% of the observed phenotypic variance. Across the four cycles, only three QTL showed an F differentiation > 0.15 with two corresponding to a decrease in floret shattering. Additionally, one marker associated with brittle rachis was 216 bp from an ortholog of the btr2 gene. Power analysis and quantitative genetic theory were used to estimate the effective number of QTL, which ranged from a minimum of 33 up to 558 QTL for individual traits. This study suggests that key agronomic and domestication traits are under polygenic control and that molecular methods like genomic selection are needed to accelerate domestication and improvement of this new crop.
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http://dx.doi.org/10.1007/s00122-022-04148-2 | DOI Listing |
Kidney360
January 2025
Department of Urology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Background: Epidemiological associations between kidney stone disease (KSD) and gastrointestinal disorders have been reported, and intestinal homeostasis plays a critical role in stone formation. However, the underlying intrinsic link is not adequately understood. This study aims to investigate the genetic associations between these two types of diseases.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Laboratory of Obesity and Aging Research, Cardiovascular Branch, National Heart Lung and Blood Institute, NIH, Bethesda, MD 20892.
Mitochondrial endonuclease G (EndoG) contributes to chromosomal degradation when it is released from mitochondria during apoptosis. It is presumed to also have a mitochondrial function because EndoG deficiency causes mitochondrial dysfunction. However, the mechanism by which EndoG regulates mitochondrial function is not known.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Institute of Science and Technology Austria, Klosterneuburg AT-3400, Austria.
Many biological systems operate near the physical limits to their performance, suggesting that aspects of their behavior and underlying mechanisms could be derived from optimization principles. However, such principles have often been applied only in simplified models. Here, we explore a detailed mechanistic model of the gap gene network in the embryo, optimizing its 50+ parameters to maximize the information that gene expression levels provide about nuclear positions.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Huashan Hospital, Fudan University, Shanghai, Shanghai, China.
Background: Alzheimer's disease (AD) is a devastating neurological disease with complex genetic etiology, yet most known loci were only identified from the late-onset type of European ancestry.
Method: We performed a two-stage genome-wide association study (GWAS) of AD totaling 6,878 Chinese and 487,511 European individuals.
Result: We demonstrated a shared genetic architecture between early- and late-onset AD.
Geroscience
January 2025
Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Erwin Mill Building, 2024 W. Main St, Durham, NC, 27705, USA.
Genetics is the second strongest risk factor for Alzheimer's disease (AD) after age. More than 70 loci have been implicated in AD susceptibility so far, and the genetic architecture of AD entails both additive and nonadditive contributions from these loci. To better understand nonadditive impact of single-nucleotide polymorphisms (SNPs) on AD risk, we examined individual, joint, and interacting (SNPxSNP) effects of 139 and 66 SNPs mapped to the BIN1 and MS4A6A AD-associated loci, respectively.
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