Vegetation-environment interactions: plant species distribution and community assembly in mixed coniferous forests of Northwestern Himalayas.

One of the main goals of ecological studies is to disentangle the dynamics that underlie the spatiotemporal distribution of biodiversity and further functions of the ecosystem. However, due to many ecological and geopolitical reasons, many remote areas with high plant species diversity have not been assessed using newly based analytical approaches for vegetation characterization. Here, we classified and characterized different vegetation types (i.e., major plant communities) based on indicator species and on the influence of different environmental gradients in the Himalayan mixed coniferous forest, Pakistan. For that, we addressed the following questions: Does the vegetation composition of the Himalayan mixed coniferous forest correlate with climatic, topographic, geographic, and edaphic variables? Is it possible to identify plant communities through indicator species in relation to environmental gradients using multivariate approaches? Can this multivariate be helpful for conservation planning? During four consecutive years we assessed the vegetation composition and environmental variables (21 variables divided in geographic, climatic, topographic, and edaphic groups) of 156 50 m-trasects between an elevation of 2000-4000 m. Using newly based analytical approaches for community characterization, we found a total of 218 plant species clustered into four plant communities with the influence of environmental gradients. The highest index of similarity was recorded between Pinus-Cedrus-Viburnum (PCV) and Viburnum-Pinus-Abies (VPA) communities, and the highest index of dissimilarity was recorded between PCV and Abies-Juniperus-Picea (AJP) communities. Among these four communities, highest number of plant species (156 species) was recorded in PCV, maximum alpha diversity (H' = 3.68) was reported in VPA, highest Simpson index (0.961) and Pielou's evenness (0.862) were reported in VPA and AJP. The edaphic gradients (i.e., organic matter, phosphorous, pH and soil texture) and climatic factors (temperature, humidity) were the strongest environmental gradients that were responsible for structuring and hosting the diverse plant communities in mixed coniferous forest. Finally, the Himalayan mixed coniferous structure is more influenced by the spatial turnover beta-diversity process (ßsim) than by the species loss (nestedness-resultant, ßsne). Our analysis of the vegetation structure along the environmental gradient in the Himalayan mixed coniferous forest supported by sophisticated analytical approaches reveled indicator species groups, which are associated to specific microclimatic zones (i.e., vegetation communities). Within this focus, we side with the view that these results can support conservation planning and management for similar and different areas providing mitigating and preventive measures to reduce potential negative impacts, such as anthropic and climatic.

An SUI-based approach to explore visual search results cluster-graphs.

Nowadays, exponential growth in online production and extensive perceptual power of visual contents (i.e., images) complicate the users' information needs. The research has shown that users are interested in satisfying their visual information needs by accessing the image objects. However, the exploration of images via existing search engines is challenging. Mainly, existing search engines employ linear lists or grid layouts, sorted in descending order of relevancy to the user's query to present the image results, which hinders image exploration via multiple information modalities associated with them. Furthermore, results at lower-ranking positions are cumbersome to reach. This research proposed a Search User Interface (SUI) approach to instantiate the non-linear reachability of the image results by enabling interactive exploration and visualization options. We represent the results in a cluster-graph data model, where the nodes represent images and the edges are multimodal similarity relationships. The results in clusters are reachable via multimodal similarity relationships. We instantiated the proposed approach over a real dataset of images and evaluated it via multiple types of usability tests and behavioral analysis techniques. The usability testing reveals good satisfaction (76.83%) and usability (83.73%) scores.

Appearances often deceive in racerunners: integrative approach reveals two new species of Eremias (Squamata: Lacertidae) from Pakistan.

Based on newly provided morphological and previously published genetic data, we describe two new distinctive sympatric lacertid lizards of the genus Eremias (subgenus Aspidorhinus) from the arid mountains of northwestern Balochistan Province, Pakistan. The new species, Eremias killasaifullahi sp. nov. and Eremias rafiqi sp. nov. are distinguished from all other species of the subgenus Aspidorhinus (E. afghanistanica, E. fahimii, E. isfahanica, E. kopetdaghica, E. lalezharica, E. montana, E. nikolskii, E. papenfussi, E. persica, E. regeli, E. roborowskii, E. strauchi, E. suphani, and E. velox) by unique morphological characters and genetic differentiation. In the molecular phylogeny of Aspidorhinus, both new taxa are well-supported lineages differentiated from other species of this subgenus by uncorrected p distances from 8.5% to 21.6%, respectively. Both new species belong to E. persica complex where E. rafiqi sp. nov. is partly similar in dorsal color pattern to E. persica but can be distinguished from this species by unique meristic and morphometric characters. Eremias rafiqi sp. nov. is found in Pakistan, Afghanistan, and eastern Iran. Eremias killasaifullahi sp. nov. can be differentiated from E. persica by its distant distribution, dorsal color and pattern, smaller size, and less number of gulars and ventral scales. Eremias killasaifullahi sp. nov. is only known from the type locality and represents the local microendemism, along with other endemic species of reptiles reported from this part of Pakistan. We, however, expect that E. killasaifullahi sp. nov. could have a broader range in northwestern Pakistan and southeastern Afghanistan, which should be an object of following investigations. Our data show that remote areas between Hindu Kush Mountains and Indus River need attention as they most probably represent possible sources of genetic and species diversity in the region.

Ethnic practices in treating skin diseases: The traditional dermatologist's role.

This study documents the role of traditional medicinal and therapeutic plants in treating various skin ailments by indigenous communities of the tribal district of North Waziristan, Pakistan. A total of 130 informants and traditional dermatologists were interviewed. They employed 77 plant species belonging to 49 families to treat various skin ailments. The leading life form reported was herbs (41 species), whereas the dominant family was Lamiaceae (5 species). Leaves were the most commonly used plant part (37 species). The most preferred mode of preparation was paste (30.38%), and the dominant mode of administration was topical (69.23%). Important medicinal plants reported in this study are recommended for further phytochemical screening for bioactive constituents, which may lead to novel drug discoveries.

Ethnogynaecological Knowledge of Traditional Medicinal Plants Used by the Indigenous Communities of North Waziristan, Pakistan.

Background: Since the beginning of civilization, medicinal plants have been used in human healthcare systems. Studies have been conducted worldwide to evaluate their efficacy, and some of the results have triggered the development of plant-based medications. Rural women in Pakistan frequently experience gynaecological disorders due to malnutrition and heavy physical work during pregnancy. Due to the low economic status, the remoteness of the area, and the lack of modern health services, herbal therapy for gynaecological disorders is common among the indigenous tribes of the study area. Methods: Field surveys were carried out from April 2018 to October 2020 to collect data regarding medicinal plants used for different gynaecological disorders. A semistructured questionnaire was used to collect ethnogynaecological data. Results: In total, 67 medicinal plant species belonging to 38 families are being used to treat 26 different gynaecological problems. The herbaceous growth form and the Lamiaceae family were recorded with the maximum number of plant species (42 species and 7 species, respectively). Leaves are the most highly utilized plant part, with 16 species. In the case preparation method, decoction was the dominant method (25 species, 36.76%). The informants reported the maximum number of species for the treatment of irregular menstrual flow as 11 species (15.28%). The highest relative frequency of citation (RFC) value was obtained for Acacia modesta (0.37), and the use value (UV) for Tecomella undulata (0.85). The highest informants' consensus factor (ICF) value (1.0) was obtained for emmenagogue and tonic each after delivery. The highest consensus index (CI%) value was calculated for Acacia modesta (36.92%). The Lamiaceae had the highest family importance value (FIV) (98.46%). Conclusion: This is the first ever quantitative study focusing mainly on ethnogynaecological study conducted in the tribal areas of North Waziristan which highlights the importance of traditional herbal remedies for their basic medical requirements. The results of this study would serve as a baseline for advanced phytochemical and pharmacological screening, as well as conservationists for further studies.

Evolution of codon usage in Taenia saginata genomes and its impact on the host.

The beef tapeworm, also known as Taenia saginata, is a zoonotic tapeworm from the genus Taenia in the order Cyclophyllidea. Taenia saginata is a food-borne zoonotic parasite with a worldwide distribution. It poses serious health risks to the host and has a considerable negative socioeconomic impact. Previous studies have explained the population structure of T. saginata within the evolutionary time scale and adaptive evolution. However, it is still unknown how synonymous codons are used by T. saginata. In this study, we used 90 T. saginata strains, applying the codon usage bias (CUB). Both base content and relative synonymous codon usage (RSCU) analysis revealed that AT-ended codons were more frequently used in the genome of T. saginata. Further low CUB was observed from the effective number of codons (ENC) value. The neutrality plot analysis suggested that the dominant factor of natural selection was involved in the structuring of CUB in T. saginata. Further analysis showed that T. saginata has adapted host-specific codon usage patterns to sustain successful replication and transmission chains within hosts (Bos taurus and Homo sapiens). Generally, both natural selection and mutational pressure have an impact on the codon usage patterns of the protein-coding genes in T. saginata. This study is important because it characterized the codon usage pattern in the T. saginata genomes and provided the necessary data for a basic evolutionary study on them.

A new species of Microgecko Nikolsky, 1907 (Squamata: Gekkonidae) from Pakistan.

Members of the dwarf geckos of the genus Microgecko Nikolsky, 1907 are distributed from western Iran to northwestern India, with seven currently recognized species. Three taxa have been reported from Pakistan, M. depressus, M. persicus persicus and M. p. euphorbiacola. The former is the only endemic species restricted to Pakistan. Herein, we describe a new species, Microgecko tanishpaensis sp. nov., on the basis of four specimens collected from the remote area of the Toba Kakar Range in northwestern Balochistan. The type locality lies in an isolated valley in mountainous terrain known for the occurrence of other endemic reptile species, including geckos. Microgecko tanishpaensis sp. nov. is differentiated from the morphologically similar species M. depressus by possessing larger size, five scales bordering the nostril, internasals (supranasals) scales in contact with nostril, two large pairs of postmentals, higher numbers of interorbitals (27-30), scales around midbody (76-84), ventral scales from the postmental to vent (144-156) and scales along dorsal midline from axilla to groin (75-86). A morphological comparison of M. tanishpaensis sp. nov. with other species of the genus and an updated identification key for the genus Microgecko are presented.

A new species of Eremias (Squamata: Lacertidae) from the arid mountains of Pakistan.

A new, morphologically distinctive lacertid lizard of the genus Eremias (Rhabderemias) is described from the arid mountains of northwestern Balochistan Province in Pakistan. Eremias kakari sp. nov. has an isolated distribution and can be easily distinguished from all other species of mainly desert subgenus Rhabderemias (E. andersoni, E. cholistanica, E. fasciata, E. lineolata, E. pleskei, E. scripta, E. vermiculata). Apart from other differences, E. kakari sp. nov. can be distinguished from geographically close members of the subgenus Rhabderemias (E. cholistanica, E. fasciata, and E. scripta) by having a single row of subdigital lamellae and a complete row of lateral scales and hence three scales around the penultimate phalanx of 4th toe. The new species is morphologically (dorsal pattern) very similar to E. fasciata but can be distinguished from this species for having 22-26 subdigital lamellae under 4th toe, 48-55 dorsal scales across midbody, ventrals in 11-14 oblique longitudinal series across the belly, 17-21 femoral pores and 17-21 scales in the 9th-10th annulus posterior to the postcloacal granules. The new species is currently known only from the type locality situated in the Toba Kakar Range, near to Tanishpa village. However, we expect that Eremias kakari sp. nov. would have a broader range in northwestern Pakistan and southeastern Afghanistan. An identification key for the Pakistani Eremias, together with other remarks to the new species, is presented.

The genus Microhyla (Anura: Microhylidae) in Pakistan: species status and origins.

The territory of Pakistan has been influenced by biota from different geographic directions, and is divided zoogeographically into the Palearctic and Oriental regions (Khan 2006; Masroor 2012). This makes Pakistan one of the important territories in Eurasia in the understanding of past biodiversity dynamics. Well-known examples of Oriental elements among its amphibian fauna are observed in all four families of toads and frogs currently known from Pakistan: Bufonidae, Microhylidae, Megophryidae, and Dicroglossidae. In this short contribution, we focused on the species status and the origins of the genus Microhyla (Microhylidae), known from the north-eastern part (Punjab, Islamabad, and Azad Jammu and Kashmir; Masroor 2012) of the country. However, Sarkar (1984), also reported Microhyla from Bhuj in Gujarat, India, very close to the southern Pakistani province of Sindh. This genus has not yet been reported from the Palearctic region of the country and all currently known localities are from the Oriental parts of Pakistan (i.e. eastward of the Indus River). The genus is represented in the country by M. ornata (Duméril Bibron, 1841), originally reported as Oxyglossus lima (Khan 1968). However, in view of the overall distribution and diversity of the genus based on genetic data (Garg et al. 2018, 2019; Gorin et al. 2020), it appears that populations from Pakistan could possibly have a different evolutionary history and be different taxon (see the currently scattered range of the genus between northern and western India and Pakistan; Fig. 1). Therefore, we tested this assumption using mitochondrial (mt) and nuclear (n) DNA data.

Spread Spectrum Based Energy Efficient Collaborative Communication in Wireless Sensor Networks.

Wireless sensor networks consist of resource limited devices. Most crucial of these resources is battery life, as in most applications like battle field or volcanic area monitoring, it is often impossible to replace or recharge the power source. This article presents an energy efficient collaborative communication system based on spread spectrum to achieve energy efficiency as well as immunity against jamming, natural interference, noise suppression and universal frequency reuse. Performance of the proposed system is evaluated using the received signal power, bit error rate (BER) and energy consumption. The results show a direct proportionality between the power gain and the number of collaborative nodes as well as BER and signal-to-noise ratio (Eb/N0). The analytical and simulation results of the proposed system are compared with SISO system. The comparison reveals that SISO perform better than collaborative communication in case of small distances whereas collaborative communication performs better than SISO in case of long distances. On the basis of these results it is safe to conclude that collaborative communication in wireless sensor networks using wideband systems improves the life time of nodes in the networks thereby prolonging the network's life time.

Discrimination of acidic and alkaline enzyme using Chou's pseudo amino acid composition in conjunction with probabilistic neural network model.

Enzyme catalysis is one of the most essential and striking processes among of all the complex processes that have evolved in living organisms. Enzymes are biological catalysts, which play a significant role in industrial applications as well as in medical areas, due to profound specificity, selectivity and catalytic efficiency. Refining catalytic efficiency of enzymes has become the most challenging job of enzyme engineering, into acidic and alkaline. Discrimination of acidic and alkaline enzymes through experimental approaches is difficult, sometimes impossible due to lack of established structures. Therefore, it is highly desirable to develop a computational model for discriminating acidic and alkaline enzymes from primary sequences. In this study, we have developed a robust, accurate and high throughput computational model using two discrete sample representation methods Pseudo amino acid composition (PseAAC) and split amino acid composition. Various classification algorithms including probabilistic neural network (PNN), K-nearest neighbor, decision tree, multi-layer perceptron and support vector machine are applied to predict acidic and alkaline with high accuracy. 10-fold cross validation test and several statistical measures namely, accuracy, F-measure, and area under ROC are used to evaluate the performance of the proposed model. The performance of the model is examined using two benchmark datasets to demonstrate the effectiveness of the model. The empirical results show that the performance of PNN in conjunction with PseAAC is quite promising compared to existing approaches in the literature so for. It has achieved 96.3% accuracy on dataset1 and 99.2% on dataset2. It is ascertained that the proposed model might be useful for basic research and drug related application areas.