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.
Trade in ivory from extant elephant species namely Asian elephant (Elephas maximus), African savanna elephant (Loxodonta africana) and African forest elephant (Loxodonta cyclotis) is regulated internationally, while the trade in ivory from extinct species of Elephantidae, including woolly mammoth, is unregulated. This distinction creates opportunity for laundering and trading elephant ivory as mammoth ivory. The existing morphological and molecular genetics methods do not reliably distinguish the source of ivory items that lack clear identification characteristics or for which the quality of extracted DNA cannot support amplification of large gene fragments. We present a PCR-sequencing method based on 116 bp target sequence of the cytochrome b gene to specifically amplify elephantid DNA while simultaneously excluding non-elephantid species and ivory substitutes, and while avoiding contamination by human DNA. The partial Cytochrome b gene sequence enabled accurate association of ivory samples with their species of origin for all three extant elephants and from mammoth. The detection limit of the PCR system was as low as 10 copy numbers of target DNA. The amplification and sequencing success reached 96.7% for woolly mammoth ivory and 100% for African savanna elephant and African forest elephant ivory. This is the first validated method for distinguishing elephant from mammoth ivory and it provides forensic support for investigation of ivory laundering cases.
The South China tiger (Panther tigris amoyensis) is critically endangered with 73 remaining individuals living in captivity, all derived from six wild founders since 1963. The population shows a low level of juvenile survivorship and reproductive difficulties, and faces a huge conservation challenge. In this study, inbreeding depression and genetic diversity decline were examined by using pedigree data and 17 microsatellites. The constant B, which is related to the number of lethal equivalents, was estimated to be 0 for the offspring of noninbred parents, but was >0 for the offspring of inbred parents and for all offspring. Percentage of successfully breeding tigers inversely correlated with inbreeding level (r = -0.626, a = 0.05). Taken together, these findings suggest the population is suffering from inbreeding depression in juvenile survivorship and fecundity. No significant correlation was detectable for the mean litter size with f of either dams (r = -0.305, a = 0.46) or kittens (r = 0.105, a = 0.71), indicating litter size was not strongly subject to inbreeding depression. The average number of alleles per locus was 4.24 ± 1.03 (SE), but effective number of alleles was only 2.53 ± 0.91. Twenty-one alleles carried by early breeders at 13 loci were absent in the present breeders and potential breeders. Multilocus heterozygosity was inversely correlated with inbreeding levels (r = -0.601, a = 0.004). These findings suggest rapid allelic diversity loss is occurring in this small captive population and that heterozygosity is being lost as it becomes more inbred. Our phylogenetic analysis supports past work indicating introgression from northern Indochinese tigers in the population. As no wild representatives of the South China tiger can be added to the captive population, we may consider the alternate scenario of further introgression in the interest of countering inbreeding depression and declining genetic diversity.
The green peafowl (Pavo muticus) is facing a high risk of extinction due to the long-term and widespread threats of poaching and habitat conversion. Here, we present a high-quality chromosome-level genome assembly of the green peafowl with high contiguity and accuracy assembled by PacBio sequencing, DNBSEQ short-read sequencing, and Hi-C sequencing technologies. The final genome size was estimated to be 1.049 Gb, while 1.042 Gb of the genome was assigned to 27 pseudo-chromosomes. The scaffold N50 length was 75.5 Mb with a complete BUSCO score of 97.6%. We identified W and Z chromosomes and validated them by resequencing 14 additional individuals. Totally, 167.04 Mb repetitive elements were identified in the genome, accounting for 15.92% of the total genome size. We predicted 14,935 protein-coding genes, among which 14,931 genes were functionally annotated. This is the most comprehensive and complete de novo assembly of the Pavo Genus, and it will serve as a valuable resource for future green peafowl ecology, evolution, and conservation studies.
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