Quantitative trait loci (QTL) for reducing aflatoxin accumulation in corn

Aflatoxin produced by Aspergillus flavus in corn poses significant health risks to both humans and livestock. Exploitation of host-plant resistance in breeding programs is a sustainable way to minimize aflatoxin contamination. Identification of quantitative trait loci (QTL) associated with resistance to aflatoxin accumulation in kernels can accelerate development of aflatoxin-resistant corn using marker-assisted selection. An F_2:3 mapping population, developed from a cross involving a resistant inbred Mp715 and a susceptible inbred B73, was evaluated in replicated field trials with developing ears artificially inoculated with A. flavus for 2 years to identify QTL for reduced aflatoxin accumulation. Using composite interval mapping, 6 to 7 QTL for aflatoxin content were identified in both years with contribution of individual QTL ranging from <1 to 10% of phenotypic variation. More QTL were detected for husk coverage with phenotypic variance range of <1 to 16% explained by individual QTL. Both B73 and Mp715 alleles at these QTL loci contributed toward resistance. Husk coverage and aflatoxin levels were significantly correlated in both years. Our findings were further supported by overlapping of QTL for husk coverage ratings in four genomic regions on chromosomes 4, 8, and 10, where aflatoxin resistance QTL were reported in previous studies. Since most of the QTL were of low to moderate effects, pyramiding of these QTL may lead to enhanced resistance to aflatoxin accumulation in corn.     

Permanent Genetic Resources added to the Molecular Ecology Resources Database 1 February 2010-31 March 2010

This article documents the addition of 228 microsatellite marker loci to the Molecular Ecology Resources Database. Loci were developed for the following species: Anser cygnoides, Apodemus flavicollis, Athene noctua, Cercis canadensis, Glis glis, Gubernatrix cristata, Haliotis tuberculata, Helianthus maximiliani, Laricobius nigrinus, Laricobius rubidus, Neoheligmonella granjoni, Nephrops norvegicus, Oenanthe javanica, Paramuricea clavata, Pyrrhura orcesi and Samanea saman. These loci were cross-tested on the following species: Apodemus sylvaticus, Laricobius laticollis and Laricobius osakensis (a proposed new species currently being described).     

Climate change‐induced distributional change of medicinal and aromatic plants in the Nepal Himalaya

Medicinal and aromatic plants (MAPs) contribute to human well‐being via health and economic benefits. Nepal has recorded 2331 species of MAPs, of which around 300 species are currently under trade. Wild harvested MAPs in Nepal are under increasing pressure from overexploitation for trade and the effects of climate change and development. Despite some localized studies to examine the impact of climate change on MAPs, a consolidated understanding is lacking on how the distribution of major traded species of MAPs will change with future climate change. This study identifies the potential distribution of 29 species of MAPs in Nepal under current and future climate using an ensemble modeling and hotspot approach. Future climate change will reduce climatically suitable areas of two‐third of the studied species and decrease climatically suitable hotspots across elevation, physiography, ecoregions, federal states, and protected areas in Nepal. Reduction in climatically suitable areas for MAPs might have serious consequences for the livelihood of people that depend on the collection and trade of MAPs as well as Nepal''s national economy. Therefore, it is imperative to consider the threats that future climate change may have on distribution of MAPs while designing protected areas and devising environmental conservation and climate adaptation policies.     

Hamsters as a Model of Severe Acute Respiratory Syndrome Coronavirus-2

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the cause of coronavirus disease 2019 (COVID-19), rapidly spread across the world in late 2019, leading to a pandemic. While SARS-CoV-2 infections predominately affect the respiratory system, severe infections can lead to renal and cardiac injury and even death. Due to its highly transmissible nature and severe health implications, animal models of SARS-CoV-2 are critical to developing novel therapeutics and preventatives. Syrian hamsters (Mesocricetus auratus) are an ideal animal model of SARS-CoV-2 infections because they recapitulate many aspects of human infections. After inoculation with SARS-CoV-2, hamsters become moribund, lose weight, and show varying degrees of respiratory disease, lethargy, and ruffled fur. Histopathologically, their pulmonary lesions are consistent with human infections including interstitial to broncho-interstitial pneumonia, alveolar hemorrhage and edema, and granulocyte infiltration. Similar to humans, the duration of clinical signs and pulmonary pathology are short lived with rapid recovery by 14 d after infection. Immunocompromised hamsters develop more severe infections and mortality. Preclinical studies in hamsters have shown efficacy of therapeutics, including convalescent serum treatment, and preventatives, including vaccination, in limiting or preventing clinical disease. Although hamster studies have contributed greatly to our understanding of the pathogenesis and progression of disease after SARS-CoV-2 infection, additional studies are required to better characterize the effects of age, sex, and virus variants on clinical outcomes in hamsters. This review aims to describe key findings from studies of hamsters infected with SARS-CoV-2 and to highlight areas that need further investigation.

Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel betacoronavirus that was first detected in Wuhan, China at the end of 2019.³¹ Coronavirus infections predominantly present with either respiratory or gastrointestinal manifestations, depending on the strain and host. While many coronavirus infections result in mild clinical symptoms, SARS-CoV-2 is highly pathogenic and poses significant health concerns.^31,58,78 Although initial clinical signs are attributed to the respiratory system, severe infections result in systemic complications, such as acute cardiac and renal injury, secondary infections, and shock.^31,58SARS-CoV-2 relies on a structural surface spike glycoprotein to establish infection. The spike protein binds to the angiotensin-converting enzyme 2 (ACE2) receptor on host cells to gain entry in a receptor-mediated fashion. This interaction facilitates both human-to-human transmission and cross-species infection.⁷⁷ Species tropism is determined by the presence of ACE2 residues that recognize the SARS-CoV-2 spike protein. Animals permissive for SARS-CoV-2 infection include cats, ferrets, pigs, nonhuman primates, select genetically modified mice, and hamsters.^5,7,23,37,67 Susceptible species can be both intermediate hosts and sources of infection of SARS-CoV-2 for humans.⁷⁷ Rodents, such as mice and hamsters, are ideal models for the study of COVID-19 due to their small size, ready availability, low cost of care, SPF status, and in-depth characterization across a variety of translational models, including past and present betacoronavirus infections.^60,61 Although transgenic mice expressing human ACE2 are susceptible to SARS-CoV-2 infection, Syrian hamsters (Mesocricetus auratus) naturally express ACE2 residues that recognize the SARS-CoV-2 spike protein.^5,46,84 As such, Syrian hamsters are a valuable animal model for studying COVID-19.Syrian hamsters, commonly referred to as golden hamsters, belong to the family Cricetidae and have a natural geographic range of arid southeast Europe and Asia Minor. Additional members of the Cricetidae family used in biomedical research include Chinese hamsters (Cricetulus griseus), European hamsters (Cricetus cricetus), Armenian hamsters (Cricetulus migratorius), and dwarf hamsters (Phodopus species). Unless otherwise noted, any mention of hamsters in this overview refers to Syrian hamsters. Laboratory hamsters primarily originated from one Syrian litter captured in 1930. Progeny of this litter were first imported into the United States in 1938.⁵⁰ Outbred Syrian hamsters are widely available; recently developed transgenic hamsters are increasingly used in biomedical research and may provide unique insight into SARS-CoV-2 infections.^22,44 Syrian hamsters have a rich history in biomedical research and can be used to model cancer and infectious, metabolic, cardiovascular, and respiratory diseases.⁵⁰Hamsters play an important role in SARS-CoV-2 studies. This is due, in part, to their susceptibility to the first described highly pathogenic coronavirus infection in the 21st century, severe acute respiratory syndrome (SARS-CoV). SARS-CoV emerged in late 2002 in Southern China. Although individuals in more than 20 countries contracted SARS-CoV, the spread was quickly contained, with the last reported case in July 2003.^16,40 After experimental infection with SARS-CoV, hamsters developed high viral loads in the lungs and nasal turbinates.^{15,32,56,62,69} Pulmonary pathology included inflammation, cell necrosis, and consolidation without clinical signs of disease.⁶¹ Based on their susceptibility to SARS-CoV and natural expression of ACE2 capable of recognizing the SARS-CoV-2 spike protein, hamsters have been a preferred model of SARS-CoV-2. Hamster studies have replicated key aspects of SARS-CoV-2 infections in humans, including viral replication, transmission, and pathology. Furthermore, hamsters are a model organism for developing and testing novel preventions and therapeutics. However, using hamsters in biomedical research has several key limitations, including the lack of reagents, especially antibodies, suitable for use with hamster tissue and the relatively few established transgenic hamsters compared to mice. The purpose of this review is to describe key findings of hamster models of SARS-CoV-2 and to highlight gaps in our current understanding that will require further investigation.     

Genotypic and Allelic Variability in CYP19A1 among Populations of African and European Ancestry

CYP19A1 facilitates the bioconversion of estrogens from androgens. CYP19A1 intron single nucleotide polymorphisms (SNPs) may alter mRNA splicing, resulting in altered CYP19A1 activity, and potentially influencing disease susceptibility. Genetic studies of CYP19A1 SNPs have been well documented in populations of European ancestry; however, studies in populations of African ancestry are limited. In the present study, ten ‘candidate’ intronic SNPs in CYP19A1 from 125 African Americans (AA) and 277 European Americans (EA) were genotyped and their frequencies compared. Allele frequencies were also compared with HapMap and ASW 1000 Genomes populations. We observed significant differences in the minor allele frequencies between AA and EA in six of the ten SNPs including rs10459592 (p<0.0001), rs12908960 (p<0.0001), rs1902584 (p = 0.016), rs2470144 (p<0.0001), rs1961177 (p<0.0001), and rs6493497 (p = 0.003). While there were no significant differences in allele frequencies between EA and CEU in the HapMap population, a 1.2- to 19-fold difference in allele frequency for rs10459592 (p = 0.004), rs12908960 (p = 0.0006), rs1902584 (p<0.0001), rs2470144 (p = 0.0006), rs1961177 (p<0.0001), and rs6493497 (p = 0.0092) was observed between AA and the Yoruba (YRI) population. Linkage disequilibrium (LD) blocks and haplotype clusters that is unique to the EA population but not AA was also observed. In summary, we demonstrate that differences in the allele frequencies of CYP19A1 intron SNPs are not consistent between populations of African and European ancestry. Thus, investigations into whether CYP19A1 intron SNPs contribute to variations in cancer incidence, outcomes and pharmacological response seen in populations of different ancestry may prove beneficial.     

Meeting report: SMART timing—principles of single molecule techniques course at the University of Michigan 2014

Four days after the announcement of the 2014 Nobel Prize in Chemistry for “the development of super‐resolved fluorescence microscopy” based on single molecule detection, the Single Molecule Analysis in Real‐Time (SMART) Center at the University of Michigan hosted a “Principles of Single Molecule Techniques 2014” course. Through a combination of plenary lectures and an Open House at the SMART Center, the course took a snapshot of a technology with an especially broad and rapidly expanding range of applications in the biomedical and materials sciences. Highlighting the continued rapid emergence of technical and scientific advances, the course underscored just how brightly the future of the single molecule field shines. © 2014 Wiley Periodicals, Inc. Biopolymers 103: 296–302, 2015.     

Genotyping of present-day and historical geobacillus species isolates from milk powders by high-resolution melt analysis of multiple variable-number tandem-repeat Loci

Spores of thermophilic Geobacillus species are a common contaminant of milk powder worldwide due to their ability to form biofilms within processing plants. Genotyping methods can provide information regarding the source and monitoring of contamination. A new genotyping method was developed based on multilocus variable-number tandem-repeat (VNTR) analysis (MLVA) in conjunction with high-resolution melt analysis (MLV-HRMA) and compared to the currently used method, randomized amplified polymorphic DNA PCR (RAPD-PCR). Four VNTR loci were identified and used to genotype 46 Geobacillus isolates obtained from retailed powder and samples from 2 different milk powder processing plants. These 46 isolates were differentiated into 16 different groups using MLV-HRMA (D = 0.89). In contrast, only 13 RAPD-PCR genotypes were identified among the 46 isolates (D = 0.79). This new method was then used to analyze 35 isolates obtained from powders with high spore counts (>10(4) spores · g(-1)) from a single processing plant together with 27 historical isolates obtained from powder samples processed in the same region of Australia 17 years ago. Results showed that three genotypes can coexist in a single processing run, while the same genotypes observed 17 years ago are present today. While certain genotypes could be responsible for powders with high spore counts, there was no correlation to specific genotypes being present in powder plants and retailed samples. In conclusion, the MLV-HRMA method is useful for genotyping Geobacillus spp. to provide insight into the prevalence and persistence of certain genotypes within milk powder processing plants.