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The metazoan mitogenomes usually display conserved gene arrangement while thrips are known for their extensive gene rearrangement, and duplication of the control region.We sequenced complete mitogenomes of eight species of thrips to determine the gene arrangement, phylogeny and divergence time estimation. All contain 37 genes and one control region, (CR) except four species with two CRs. Duplicated tRNAs were detected in Mycterothrips nilgiriensis and Thrips florum. nad4-nad4L were not found adjacent to each other in Phibalothrips peringueyi and Plicothrips apicalis. Both Bayesian and likelihood phylogenetic analyses of thrips mitogenomes supported the monophyly of two suborders (Terebrantia and Tubulifera) and the two largest families (Phlaeothripidae and Thripidae). Out of seven earlier proposed ancestral gene blocks, six are conserved in Panchaetothripinae, three in Thripinae and two in Phlaeothripidae. Additionally, eight Thrips Gene Blocks were identified, of which, three conserved in Tubulifera, four in Terebrantia, and one only in Aeolothripidae. Forty-two gene boundaries (15 from previous study + 27 new) were identified. The molecular divergence time is estimated for the order Thysanoptera and suggested that these insects may have been diversified from hemipterans in the late Permian period. The most recent ancestors belong to family Thripidae and Phlaeothripidae, which were diversified in upper Cretaceous period and showed higher rates of rearrangement from the ancestral gene order.The current study is the first largest effort to provide the new insights into the mitogenomic features, gene arrangement, phylogeny and divergence time estimation of thrips belonging to the order Thysanoptera.

Within protected areas, biodiversity loss is often a consequence of illegal resource use. Understanding the patterns and extent of illegal activities is therefore essential for effective law enforcement and prevention of biodiversity declines. We used extensive data, commonly collected by ranger patrols in many protected areas, and Bayesian hierarchical models to identify drivers, trends, and distribution of multiple illegal activities within the Queen Elizabeth Conservation Area (QECA), Uganda. Encroachment (e.g., by pastoralists with cattle) and poaching of noncommercial animals (e.g., snaring bushmeat) were the most prevalent illegal activities within the QECA. Illegal activities occurred in different areas of the QECA. Poaching of noncommercial animals was most widely distributed within the national park. Overall, ecological covariates, although significant, were not useful predictors for occurrence of illegal activities. Instead, the location of illegal activities in previous years was more important. There were significant increases in encroachment and noncommercial plant harvesting (nontimber products) during the study period (1999-2012). We also found significant spatiotemporal variation in the occurrence of all activities. Our results show the need to explicitly model ranger patrol effort to reduce biases from existing uncorrected or capture per unit effort analyses. Prioritization of ranger patrol strategies is needed to target illegal activities; these strategies are determined by protected area managers, and therefore changes at a site-level can be implemented quickly. These strategies should also be informed by the location of past occurrences of illegal activity: the most useful predictor of future events. However, because spatial and temporal changes in illegal activities occurred, regular patrols throughout the protected area, even in areas of low occurrence, are also required.