Malariainfection harms wild African apes, study shows wustl NatureComms
alleles in bonobos at TL2-E. Although we sampled only seven bonobos at other locations east of the Lomami, all seven were homozygous for B07 alleles, suggesting that the TL2-E population is typical of others in the eastern region. From comparisons of mtDNA haplotypes it has been suggested that western bonobos arose about 0.26–0.
These bonobos have regained, but presumably only after they migrated to this location within range of the mosquitoes that bite bonobos at TL2-E. At TL2-W the frequency of B07 alleles has climbed to about 50% and, strikingly, most of these B07 alleles are identical to those found at low frequencies in other western populations, but different from those found at high frequencies at TL2-E.
Indonesia Berita Terbaru, Indonesia Berita utama
Similar News:Anda juga dapat membaca berita serupa dengan ini yang kami kumpulkan dari sumber berita lain.
Putting CRISPR into African hands to future-proof crops - Nature BiotechnologyScientists from seven countries embark on training to use gene editing tools to improve the continent’s neglected crops.
Baca lebih lajut »
Protection of cell therapeutics from antibody-mediated killing by CD64 overexpression - Nature BiotechnologyHypoimmune engineering of cell therapies is extended to protection from host antibodies.
Baca lebih lajut »
Microwave imaging of quasi-periodic pulsations at flare current sheet - Nature CommunicationsQuasi-periodic pulsations (QPPs) are frequently detected in solar and stellar flares, but the underlying physical mechanisms are still to be ascertained. Here, the authors show microwave QPPs during a solar flare originating from quasi-periodic magnetic reconnection at the flare current sheet.
Baca lebih lajut »
Parkland draws nature lovers to Virginia’s Tanglewood neighborhoodWHERE WE LIVE | Community helps maintain Tanglewood Park.
Baca lebih lajut »
Persistent spectral theory-guided protein engineering - Nature Computational ScienceA topological data analysis-driven machine learning model for guiding protein engineering is proposed, complementing protein sequence and structure embeddings when navigating the fitness landscape.
Baca lebih lajut »