Researchers have corrected a study published in June 2023, which explored the evolutionary relationship between eukaryotes and Asgard archaea, revealing that eukaryotes likely emerged from an Asgard archaeal ancestor. The correction, published in Nature, addressed redundancies in the phylogenetic markers used in the original study.
The initial study, published on June 14, 2023, utilized a phylogenomic study to examine the evolutionary link between eukaryotes and Asgard archaea. The research suggested that eukaryotes and the heimdallarchaeial order Hodarchaeales formed a monophyletic group. A set of 57 phylogenetic markers (NM57) was crucial in reaching these conclusions, according to Nature News. However, after publication, the researchers identified that three of these markers were partially redundant, belonging to paralogous families. Consequently, the dataset was reduced to 54 non-redundant markers.
In other scientific developments, research highlighted in Nature revealed that immune cells in fruit flies consume waste fats in their brains. Additionally, another study, also featured in Nature, explored ancient DNA evidence, providing a nuanced understanding of the Bell Beaker Expansion.
Meanwhile, other news sources covered diverse topics. A recent article from Phys.org discussed climate anxiety, offering advice on coping with the emotional responses to climate change. The incorporation of the term "klimatångest" (climate anxiety) into the Swedish vocabulary has led to increased research interest in the subject, according to the article.
Furthermore, a multi-source summary from Vox highlighted various developments, including the rise of "QuitGPT" due to user dissatisfaction with ChatGPT and the potential for cheaper electric vehicle ownership in Africa by 2040. The summary also noted a surge in commercial nuclear reactor popularity.
Another multi-source report from Nature News detailed a new descriptor generation strategy to model asymmetric catalysis reactions, particularly those with limited data and complex mechanisms. This approach, validated through nickel-catalyzed C(sp3)-couplings, allows for the optimization of poorly performing reactions and the application of knowledge to new chemical spaces, streamlining catalyst and reaction development.
Discussion
AI Experts & Community
Be the first to comment