Search Results

You are looking at 1 - 6 of 6 items for :

  • "genetic resources" x
  • User-accessible content x
Clear All

A genetikai adatok szerepe a járványok elleni küzdelemben

Genetic data in the fight against pandemics

Scientia et Securitas
Authors: Ágnes Becsei, Orsolya Anna Pipek, Péter Pollner, and István Csabai

Összefoglaló. A COVID–19-járvány alatt bizonyossá vált, hogy az adattudományok, az adatok gyors megosztása és a nemzetközi összefogás a hatékony járványkezelés kulcsfontosságú eszközei. A járvány előtt létrejött Újonnan Felbukkanó fertőző betegségek Obszervatóriuma (Versatile Emerging infectious disease Observatory, VEO) nevű nemzetközi konzorcium célja egy olyan monitorozó rendszer kiépítése, amely a potenciálisan veszélyes kórokozókat még az előtt azonosítja, mielőtt azok tömeges megbetegedéseket okoznának, lehetőséget adva ezzel a gyors reagálásra. A járványok megelőzésére és kezelésére létrejött nemzetközi együttműködésekben, így a VEO-ban is a kórokozók, vagy a fertőzésnek kitett személyek genetikai szekvencia adatai kiemelkedő fontosságúak. Az ilyen típusú adatok kezelésével kapcsolatban az Európai Unióban többek között a Nagojai Jegyzőkönyv és a GDPR fogalmaz meg elveket, szabályokat.

Summary. Data science is proved to be a key tool in the fight against the ongoing COVID-19 pandemic, but it requires a huge amount of data shared between international research groups. The Versatile Emerging infectious disease Observatory (VEO) EU collaboration was established to generate and distribute high quality data for an evidence-based early warning system for emerging infectious diseases. Through an iterative process between data scientists, disease experts, social scientists and citizen scientists, a collaborative platform will be created for storing, secure sharing and analyses of traditional and new data sources. Next generation sequencing (NGS) has revolutionized genomic research. This versatile technology is broadly applicable to pathogens and human hosts. Rapid sharing of pathogen genetic resources, including physical samples of cultured pathogens and additionally genetic sequencing data of pathogens, is crucial in support of research and outbreak response. Access to genetic resources is regulated by the Nagoya protocol which is an internationally binding treaty to ensure equal sharing of benefits arising from the use of genetic resources. So far the Nagoya protocol has been applied only to biological samples, but digital data from genetic sequencing doesn’t necessarily fall under the treaty. Effects of diseases can differ based on genetic backgrounds, as certain gene variants may provide protection against or susceptibility to viral diseases. Human genomic data is an important resource for medical research. The General Data Protection Regulation (GDPR) lists identifiable human genetic data as sensitive, which is a subset of personal data. Sharing and analysis of this kind of data are strictly regulated and they are also subject to ethical challenges. These concerns become less pronounced when analyzing environmental samples like sewage. Samples collected from wastewater treatment plants can be used as pooled samples, containing naturally anonymized genetic information of the human population, near the wastewater treatment plant.

Open access

Phenotypic and genotypic evaluation of wheat genetic resources and development of segregating populations are pre-requisites for identifying rust resistance genes. The objectives of this study were to assess adult plant resistance (APR) of selected wheat genotypes to leaf rust and stem rust and to develop segregating populations for resistance breeding. Eight selected Kenyan cultivars with known resistance to stem rust, together with local checks were evaluated for leaf rust and stem rust resistance at seedling stage and also across several environments. Selected diagnostic markers were used to determine the presence of known genes. All eight cultivars were crossed with local checks using a bi-parental mating design. Seedling tests revealed that parents exhibited differential infection types against wheat rust races. Cultivars Paka and Popo consistently showed resistant infection types at seedling stage, while Gem, Romany, Pasa, Fahari, Kudu, Ngiri and Kariega varied for resistant and susceptible infection types depending on the pathogen race used. The control cultivars Morocco and McNair consistently showed susceptible infection types as expected. In the field, all cultivars except for Morocco showed moderate to high levels of resistance, indicating the presence of effective resistance genes. Using diagnostic markers, presence of Lr34 was confirmed in Gem, Fahari, Kudu, Ngiri and Kariega, while Sr2 was present in Gem, Romany, Paka and Kudu. Seedling resistance gene, Sr35, was only detected in cultivar Popo. Overall, the study developed 909 F6:8 recombinant inbred lines (RILs) as part of the nested mating design and are useful genetic resources for further studies and for mapping wheat rust resistance genes.

Open access
Acta Ethnographica Hungarica
Authors: Nóra Papp, Mónika Tóth, Tünde Dénes, Kinga Gyergyák, Rita Filep, Sámuel Gergely Bartha, Rita Csepregi, Viktória Lilla Balázs, and Ágnes Farkas

– 1460 . Papp , Nóra – Birkás-Frendl , Kata – Farkas , Ágnes – Pieroni , Andrea 2013 b An Ethnobotanical Study on Home Gardens in a Transylvanian Hungarian Csángó Village (Romania) . Genetic Resources and Crop Evolution 60 : 1423 – 1432

Open access
Acta Alimentaria
Authors: F. Békés, K. Ács, Gy. Gell, Cs. Lantos, A-M. Kovács, Zs. Birinyi, and J. Pauk

. Faris , J.D. ( 2014 ): Wheat domestication: Key to agricultural revolutions past and future . -in: Tuberosa, R. (Ed.) Genomics of plant genetic resources . Springer , Dordrecht , pp. 439 – 464

Open access

M.E. AkenOva C.A. Fatokun 1995 Genetic Resources and Crop Evolution 42 393

Full access
Progress in Agricultural Engineering Sciences
Authors: Dzsenifer Németh, Gábor Balázs, Zsanett Bodor, John-Lewis Zinia Zaukuu, Zoltán Kovács, and Noémi Kappel

levels and invertase activity in mature fruit representing a board spectrum of Cucumis melo genotypes . Genetic Resources and Crop Evolution , 46 : 53 – 62 . 10.1023/A:1008636732481 Szamosi , Cs . ( 2009 ). Tradicionális sárga-és görögdinnyék

Open access