BackgroundThe problem of anti-malarial drug resistance is a long-term challenge faced by malaria control in Yunnan Province. Recently, the detection rates of chloroquine-resistant molecular markers (Plasmodium falciparum chloroquine resistant transporter, Pfcrt) and artemisinin-resistant molecular markers (P. falciparum kelch13 gene, ork13) were 85% and 35%, respectively. To understand the association of k13 gene mutation with artemisinin resistance in falciparum malaria cases, the difference in k13 gene differentiation between two populations and artemisinin resistance phenotype on falciparum malaria cases in Myanmar were analysed in this study.MethodsThis research involved all of falciparum malaria cases diagnosed continuously in Yunnan Province from 2013 to 2015 and some of falciparum malaria cases found in Lazar, Myanmar. Blood samples were taken from the former group for molecular epidemiological analysis of k13 gene mutations, and artemisinin resistance phenotypes of P. falciparum were observed in the latter group using the in vivo testing method recommended by the World Health Organization. Nested PCR was used to amplify the propeller domain of the k13 gene in P. falciparum, followed by sequencing.ResultsA total of 202 blood samples were collected from Yunnan Province and 382 blood samples were collected from falciparum malaria cases in Myanmar. 49 of 382 Myanmar cases were in vivo tested for artesunate resistance phenotype through full treatment course observation. At the same time, all the blood samples were screened for k13 gene mutation of P. falciparum. The genetic diversity of k13 was higher in the Plasmodium isolates from Yunnan Province than those from Myanmar cases. The genetic differentiation index of the two populations was 0.0410, where the intra- and inter-group variations were 95.9% and 4.1%, respectively. The odds ratio of artemisinin resistance phenotype and mutation at the locus 446 in k13 gene in Myanmar cases was 1.640, while the value was 1.840 based on the estimations of the mutations in the 12 loci.ConclusionAlthough the Plasmodium isolates from Yunnan Province and those from Myanmar were collected from different sites, they still belong to the same geographical population. It is, therefore, reasonable to contrast the artemisinin resistance status of the Plasmodium population from Myanmar with the Plasmodium population from Yunnan Province. As a result, based on the molecular epidemiological investigation on k13 mutations of Plasmodium isolates in Yunnan Province and the determination of the artemisinin resistance on falciparum malaria cases in Myanmar, the positively genetic correlated was found between the k13 locus mutations with artemisinin resistance phenotype. This provides a basis for further monitoring the artemisinin resistance by detection some molecular markers in k13 gene of Plasmodium in Yunnan Province.

The South China tiger (Panthera tigris amoyensis, SCT) is the most critically endangered subspecies of tiger due to functional extinction in the wild. Inbreeding depression is observed among the captive population descended from six wild ancestors, resulting in high juvenile mortality and low reproduction. We assembled and characterized the first SCT genome and an improved Amur tiger (P. t. altaica, AT) genome named | 331

The availability of viral entry factors is a prerequisite for the cross-species transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Large-scale single-cell screening of animal cells could reveal the expression patterns of viral entry genes in different hosts. However, such exploration for SARS-CoV-2 remains limited. Here, we perform single-nucleus RNA sequencing for 11 non-model species, including pets (cat, dog, hamster, and lizard), livestock (goat and rabbit), poultry (duck and pigeon), and wildlife (pangolin, tiger, and deer), and investigated the co-expression of ACE2 and TMPRSS2. Furthermore, cross-species analysis of the lung cell atlas of the studied mammals, reptiles, and birds reveals core developmental programs, critical connectomes, and conserved regulatory circuits among these evolutionarily distant species. Overall, our work provides a compendium of gene expression profiles for non-model animals, which could be employed to identify potential SARS-CoV-2 target cells and putative zoonotic reservoirs.

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