Discovery of Kerivoula kachinensis and a validity of K. titania (Chiroptera: Vespertilionidae) in China

In April 2019, 15 (10♂, 5♀) Kerivoula bats were collected by harp traps from Xishuangbanna, Yunnan Province, China. External and craniodental examination, multivariate statistical analyses and molecular phylogenetic inference (CoI, Cytb and Rag2 gene markers) indicated they are Kerivoula kachinensis and Kerivoula titania, respectively. Former represents a new chiropteran record from China, while the latter is a valid occurrence of K. titania in this region because recent study indicate a misidentification of “K. titania” in Guangdong, Guangxi and Hainan, China. All specimens are presently preserved at Key Laboratory of Conservation and Application in Biodiversity of South China in Guangzhou University, Guangzhou, China. Nowadays, four woolly bats occur in China including, Kerivoula furva, K. kachinensis, Kerivoula picta and K. titania, whilst there is a risk of underestimation the actual species diversity in China region when comparing those of neighboring region such as Vietnam. Supports for field survey need to be continued in future.

Modern Analog Assemblages of Phytoliths Under Various Plant Communities of the Middle Volga and their Applicability for Archaeological Reconstructions

The article describes the results of investigations of the sub-recent assemblages of silica phytoliths in top soils of various modern plant communities of the Middle Volga region in Tatarstan, Samarskaya and Ulyanovskaya oblasts conducted in 2017–2020. Counts of various phytolith morphotypes from 40 samples suggest a relatively low level of vegetation community specificity as revealed by multivariate statistical analyses. Nevertheless, coniferous and mixed forests can be distinguished based on the presence of a suite of conifer phytoliths, while steppes can be identified based on high proportion of rondels. Deciduous forests of the region can be detected based on high proportion of straight elongates and acutous bulbosus (trichome) type. Some matchings are made to 10 archaeological samples from various strata and ages across the region. Such samples reveal high proportion of cultured grass phytoliths and are most similar to steppes or agricultural assemblages in the modern dataset.

Phenotypic Diversity of Almond-Leaved Pear (Pyrus spinosa Forssk.) along Eastern Adriatic Coast

Almond-leaved pear (Pyrus spinosa Forssk., Rosaceae) is a scientifically poorly researched and often overlooked Mediterranean species. It is an insect-pollinated and animal-dispersed spiny, deciduous shrub or a small tree, with high-quality wood and edible fruits. The aim of the study was to assess the phenotypic diversity of almond-leaved pear in the eastern Adriatic region. The examination of phenotypic diversity was based on a morphometric analysis of 17 populations using ten phenotypic traits of leaves. Varieties of multivariate statistical analyses were conducted to evaluate the within- and among-population diversity. In addition, the Mantel tests were used to test the correlations between geographic, environmental, and phenotypic differences among populations. High phenotypic variability was determined both among and within the studied populations. Leaf-size-related traits proved to be the most variable ones, in contrast to more uniform leaf shape traits. Furthermore, three groups of populations were detected using multivariate statistical analyses. The first group included trees from northern- and southernmost populations characterized by high annual precipitation. However, the trees from the second and third group were highly overlapped without a clear geographical pattern. In addition, we revealed that both environmental and geographical interactions proved to be responsible for the patterns of phenotypic variation between almond-leaved pear populations, indicating significant isolation by environment (IBE) and isolation by distance (IBD) patterns. Overall, our results provide useful information about phenotypic diversity of almond-leaved pear populations for further conservation, breeding, and afforestation programs.

Water quality assessment and geochemical processes in the unconfined coastal Boa Viagem Aquifer, Recife, NE Brazil

A hydrochemical study was conducted on the Quaternary Aquifer, in Recife, Brazil. Groundwater samples were collected in March–April 2015, at the beginning of the rainy season. Conventional graphics, ionic ratios, saturation indices, GIS mapping, and geostatistical and multivariate statistical analyses were used to water quality assessment and to characterize the main hydrochemical processes controlling groundwater’s chemistry. Q-mode hierarchical cluster analysis separated the samples into three clusters and five sub-clusters according to their hydrochemical similarities and facies. Principal Component Analysis (PCA) was employed to the studied groundwater samples where a three-factor model explains 80% of the total variation within the dataset. The PCA results revealed the influence of seawater intrusion, water-rock interaction, and nitrate contamination. The physico-chemical parameters of ~30% groundwaters exceed the World Health Organization (WHO) guidelines for drinking water quality. Nitrate was found at a concentration >10 mg NO3−/L in ~21% of the wells and exceeded WHO reference values in one. The integrated approach indicates the occurrence of the main major hydrogeochemical processes occurring in the shallow marine to alluvial aquifer as follow: 1) progressive freshening of remaining paleo-seawater accompanying cation exchange on fine sediments, 2) water-rock interaction (i.e., dissolution of silicates), and 3) point and diffuse wastewater contamination, and sulfate dissolution. This study successfully highlights the use of classical geochemical methods, GIS techniques, and multivariate statistical analyses (hierarchical cluster and principal component analyses) as complementary tools to understand hydrogeochemical processes and their influence on groundwater quality status to management actions, which could be used in similar alluvial coastal aquifers.

Functional analysis of (pristine) estuarine marine sediments

Traditional environmental monitoring techniques are well suited to resolving acute exposure effects but lack resolution in determining subtle shifts in ecosystem functions resulting from chronic exposure(s). Surveillance with sensitive omics-based technologies could bridge this gap but, to date, most omics-based environmental studies have focused on previously degraded environments, identifying key metabolic differences resulting from anthropogenic perturbations. Here, we apply ‘omic based approaches to pristine environments to establish blueprints of microbial functionality within healthy estuarine sediment communities. We collected surface sediments (n=50) from four pristine estuaries along the Western Cape York Peninsula of Far North Queensland, Australia. Sediment microbiomes were analyzed for 16S rRNA amplicon sequences, central carbon metabolism metabolites and associated secondary metabolites via untargeted metabolic profiling methods. Multivariate statistical analyses indicated heterogeneity amongst the sampled estuaries, however, taxa-function relationships could be established and predicted community metabolism potential. Twenty-four correlated gene-metabolite pathways were identified and used to establish sediment microbial blueprints of carbon metabolism and amino acid biosynthesis. Our results establish a baseline microbial blueprint for the pristine sediment microbiome, one that drives important ecosystem services and to which future ecosurveillance monitoring can be compared.

Functional analysis of (pristine) estuarine marine sediments

Traditional environmental monitoring techniques are well suited to resolving acute exposure effects but lack resolution in determining subtle shifts in ecosystem functions resulting from chronic exposure(s). Surveillance with sensitive omics-based technologies could bridge this gap but, to date, most omics-based environmental studies have focused on previously degraded environments, identifying key metabolic differences resulting from anthropogenic perturbations. Here, we apply ‘omic based approaches to pristine environments to establish blueprints of microbial functionality within healthy estuarine sediment communities. We collected surface sediments (n=50) from four pristine estuaries along the Western Cape York Peninsula of Far North Queensland, Australia. Sediment microbiomes were analyzed for 16S rRNA amplicon sequences, central carbon metabolism metabolites and associated secondary metabolites via untargeted metabolic profiling methods. Multivariate statistical analyses indicated heterogeneity amongst the sampled estuaries, however, taxa-function relationships could be established and predicted community metabolism potential. Twenty-four correlated gene-metabolite pathways were identified and used to establish sediment microbial blueprints of carbon metabolism and amino acid biosynthesis. Our results establish a baseline microbial blueprint for the pristine sediment microbiome, one that drives important ecosystem services and to which future ecosurveillance monitoring can be compared.