Intergeneric Relationships within the Family Salicaceae s.l. based on Plastid Phylogenomics.

Many Salicaceae s.l. plants are recognized for their important role in the production of products such as wood, oils, and medicines, and as a model organism in life studies. However, the difference in plastid sequence, phylogenetic relationships, and lineage diversification of the family Salicaceae s.l. remain poorly understood. In this study, we compare 24 species representing 18 genera of the family. Simple sequence repeats (SSRs) are considered effective molecular markers for plant species identification and population genetics. Among them, a total of 1798 SSRs were identified, among which mononucleotide repeat was the most common with 1455 accounts representing 80.92% of the total. Most of the SSRs are located in the non-coding region. We also identified five other types of repeats, including 1750 tandems, 434 forward, 407 palindromic, 86 reverse, and 30 complementary repeats. The species in Salicaceae s.l. have a conserved plastid genome. Each plastome presented a typical quadripartite structure and varied in size due to the expansion and contraction of the inverted repeat (IR) boundary, lacking major structural variations, but we identified six divergence hotspot regions. We obtained phylogenetic relationships of 18 genera in Salicaceae s.l. and the 24 species formed a highly supported lineage. Casearia was identified as the basal clade. The divergence time between Salicaceae s.l. and the outgroup was estimated as ~93 Mya; Salix, and Populus diverged around 34 Mya, consistent with the previously reported time. Our research will contribute to a better understanding of the phylogenetic relationships among the members of the Salicaceae s.l.

[High-Throughput Sequencing Analysis of Microbial Communities in Summertime Atmospheric Particulate Matter in Hefei City].

The composition, physical and chemical properties, sources, and temporal and spatial changes in airborne particulate matter have been extensively investigated in previous studies. However, less is known about bioaerosols, which are mainly composed of bacteria and fungi and constitute up to 25% of the total airborne particulate matter. In this study, we used inductively coupled plasma mass spectrometry and ion chromatography to determine the concentrations of trace elements and water-soluble ions in atmospheric particulates, respectively. These analyses were combined with high-throughput sequencing methods and real-time quantitative polymerase chain reaction to analyze the microbial compositions in PM1.0, PM2.5, and PM10 samples, which were collected from July to September in Hefei City. The results showed that there were no significant differences in the bacterial community diversity across the three size fractions (analysis of variance (ANOVA), P>0.05). The bacterial and fungal community diversities on sunny days were lower than those on rainy days, and the bacterial community diversity in all samples was significantly higher than the fungal community diversity (ANOVA, P<0.01). The predominant bacterial phyla were Proteobacteria (46.19%), Firmicutes (33.42%), Bacteroidetes (10.99%), Cyanobacteria (3.33%), and Actinobacteria (2.11%). Ascomycota (73.23%), Basidiomycota (5.78%), Mortierellomycota (3.41%), and Mucoromycota (0.10%) were the dominant fungal phyla. Our results indicated that soils, plant leaves, and animal feces were the dominant sources of airborne bacterial communities in Hefei City, and the main sources of the fungal communities were plant leaves and soils. The bacterial community was mainly affected by K, Pb, Al, Fe, Mg, Ca, Na+, NO2-, and wind speed, and the main influencing factors of the fungal community were V, Mn, Sr, NO2-, NO3-, Na+, Cl-, the air quality index, and PM10. In addition, nine specific bacteria and fungi that are linked to human health risks were identified, including Acinetobacter, Streptococcus, Enterobacter, Pseudomonas, Delftia, Serratia, Trichoderma, Alternaria, and Aspergillus, which can lead to a wide range of diseases in humans and other organisms. The research results are helpful for revealing the various characteristics of airborne microbial communities, their influencing factors, and their impacts on human health, and are an important reference for subsequent research and the formulation of government policies.

A new species and two new records of Goniothalamus (Annonaceae) from Lao PDR.

Goniothalamus saccopetaloides Y.H. Tan & Bin Yang, a new species is described and illustrated from Laos. This species shows morphological similarities to G. yunnanensis W.T. Wang, but it differs from the latter by having almost fleshy, involute and saccate outer petals, subglobose monocarps, and single seeded monocarps. Goniothalamus cheliensis, and G. calvicarpus are new records for the Flora of Lao PDR. A key to Goniothalamus species indigenous to Laos is provided here.

Effects of Sea Animal Activities on Tundra Soil Denitrification and nirS- and nirK-Encoding Denitrifier Community in Maritime Antarctica.

In maritime Antarctica, sea animals, such as penguins or seals, provide a large amount of external nitrogen input into tundra soils, which greatly impact nitrogen cycle in tundra ecosystems. Denitrification, which is closely related with the denitrifiers, is a key step in nitrogen cycle. However, effects of sea animal activities on tundra soil denitrification and denitrifier community structures still have received little attention. Here, the abundance, activity, and diversity of nirS- and nirK-encoding denitrifiers were investigated in penguin and seal colonies, and animal-lacking tundra in maritime Antarctica. Sea animal activities increased the abundances of nirS and nirK genes, and the abundances of nirS genes were significantly higher than those of nirK genes (p < 0.05) in all tundra soils. Soil denitrification rates were significantly higher (p < 0.05) in animal colonies than in animal-lacking tundra, and they were significantly positively correlated (p < 0.05) with nirS gene abundances instead of nirK gene abundances, indicating that nirS-encoding denitrifiers dominated the denitrification in tundra soils. The diversity of nirS-encoding denitrifiers was higher in animal colonies than in animal-lacking tundra, but the diversity of nirK-encoding denitrifiers was lower. Both the compositions of nirS- and nirK-encoding denitrifiers were similar in penguin or seal colony soils. Canonical correspondence analysis indicated that the community structures of nirS- and nirK-encoding denitrifiers were closely related to tundra soil biogeochemical processes associated with penguin or seal activities: the supply of nitrate and ammonium from penguin guano or seal excreta, and low C:N ratios. In addition, the animal activity-induced vegetation presence or absence had an important effect on tundra soil denitrifier activities and nirK-encoding denitrifier diversities. This study significantly enhanced our understanding of the compositions and dynamics of denitrifier community in tundra ecosystems of maritime Antarctica.

[Fine Particulate Emission Characteristics of an Ultra-Low Emission Coal-Fired Power Plant].

Since the introduction of ultra-low emissions, the characteristics of particulate matter (PM) emissions from coal-fired power plants have changed. We quantitatively evaluate the emission characteristics of each component in PM and the impact of purification equipment by analyzing three ultra-low emission units of coal-fired power plants (FP1, FP2, and FP3). A DGI was used to sample particles from the wet flue gas desulfurization (WFGD) unit and wet electrostatic precipitator (WESP) inlet and outlet, which were then analyzed by various methods. The results showed that the mass concentrations of PM1, PM2.5, and PM10 discharged from the outlets of the three units were 0.25-0.38, 0.31-0.42, and 0.42-0.57 mg·m-3, respectively, and that the mass concentration of PM10 discharged under the two kinds of units was equivalent. However, there were differences in the particle size distribution and composition of the particles. In comparison to the FP1 and FP2 units, the PM2.5/PM10 ratio of the FP3 unit was the highest. A possible reason for this is that the unit was equipped with a WESP, which can better remove particle sizes of 2.5 µm or more. The total concentrations of water-soluble ions in PM2.5 discharged from the FP2 and FP3 units were 0.20 and 0.06 mg·m-3, respectively. The water-soluble ions emitted from the FP2 unit were mainly Ca2+ and SO42-, whereas those mainly emitted from the FP3 unit were NH4+ and SO42-. Analysis of the PM from the WFGD import and export of the FP2 unit showed that the WFGD process increased the water-soluble ion discharge by entraining the desulfurization slurry containing limestone and gypsum. Addition of a WESP after WFGD can effectively remove PM2.5 and PM10 particles and reduce the influence of water-soluble ions on the atmospheric environment.

Conservation of genetic diversity hotspots of the high-valued relic yellowhorn (Xanthoceras sorbifolium) considering climate change predictions.

Genetic structure and major climate factors may contribute to the distribution of genetic diversity of a highly valued oil tree species Xanthoceras sorbifolium (yellowhorn). Long-term over utilization along with climate change is affecting the viability of yellowhorn wild populations. To preserve the species known and unknown valuable gene pools, the identification of genetic diversity "hotspots" is a prerequisite for their consideration as in situ conservation high priority. Chloroplast DNA (cpDNA) diversity was high among 38 natural populations (H d = 0.717, K = 4.616, Tajmas' D = -0.22) and characterized by high genetic divergence (F ST = 0.765) and relatively low gene flow (N m = 0.03), indicating populations isolation reflecting the species' habitat fragmentation and inbreeding depression. Six out of the studied 38 populations are defined as genetic diversity "hotspots." The number and geographic direction of cpDNA mutation steps supported the species southwest to northeast migration history. Climatic factors such as extreme minimum temperature over 30 years indicated that the identified genetic "hotspots" are expected to experience 5°C temperature increase in next following 50 years. The results identified vulnerable genetic diversity "hotspots" and provided fundamental information for the species' future conservation and breeding activities under the anticipated climate change. More specifically, the role of breeding as a component of a gene resource management strategy aimed at fulfilling both utilization and conservation goals.

Preliminary studies on methane flux from the ornithogenic soils on Xi-sha atoll, South China Sea.

Methane flux from the ornithogenic soils was preliminarily measured by closed chamber method on Xi-sha atoll, South China Sea during March 10 to April 11, 2003 for the first time. The CH4 flux ranged from -4226.7 microg/(m2 x h) to 226.3 microg/(m2 x h) at the observation sites on Dong Island. High atmospheric CH4 consumption was observed from the ornithogenic soils on sunny days. CH4 uptake rates showed the highest value after the midday and they had a strong positive correlation with soil temperatures. Under the same weather conditions, the CH4 fluxes were also observed from the intact and disturbed soils on Yongxing Island. Results showed that the intact soils with natural vegetation also showed high atmospheric CH4 consumption and the average flux was -141.8 microg/(m2 x h). However, disturbed soils via anthropogenic reclamation showed CH4 emissions and the average flux was 441.7 microg/(m2 x h). Therefore land use changes may have an important effect on the CH4 fluxes from the tropical ornithogenic soils. In addition, different observation sites show a high spatial variation in CH4 fluxes. The wetland in salt marsh showed the CH4 emission on Dong Island, and the dry soil sites all showed high atmospheric CH4 consumption, suggesting that CH4 fluxes were predominantly controlled by soil water regime. The effects of soil chemical properties on CH4 fluxes were also analyzed and discussed in this paper.

Preliminary studies on nitrous oxide emissions from the ornithogenic soils on Xi-sha atoll, South China Sea.

The preliminary measurements of nitrous oxide fluxes from the ornithogenic soils on tropical Xi-sha atoll were made using a closed chamber technique for the first time. N2O fluxes from the ornithogenic soils ranged from 1.8 to 40.3 microg/(m2 x h) on Dong Island and 3.2 to 20.4 microg/(m2 x h) on Yongxing Island and their flux averaged 11.0 microg/(m2 x h) and 8.3 microg/(m2 x h), respectively. N2O fluxes from two wetland sites in salt marsh of Dong Island were approximately one order of magnitude lower than those from the ornithogenic soils and averaged 2.1 microg/(m2 x h) and 2.4 microg/(m2 x h). The diurnal variation cycle in the fluxes was obtained at the observation sites; the N2O flux increased with the increase in soil temperature. The sudden increase in soil moisture greatly stimulated N2O emission from the ornithogenic soils on Dong Island due to the heavy rainfall. The undisturbed soils showed the lower N2O fluxes and the average was 4.8 microg/(m2 x h) and the soils via the reclamation showed the higher N2O fluxes and the average was 16.6 microg/(m2 x h) on Yongxing Island, suggesting that the changes of land use have an important effect on N2O fluxes from the ornithogenic soils. In addition, the N2O fluxes at the different sites showed high spatial variations. The fluxes were positively correlated with the concentrations of NO3-, PO4(3-) and Mn in the soils. The negative correlation between the fluxes and total S concentration in the ornithogenic soils was also found for the first time. Coastal soils or sediments constitute an important source of global atmospheric N2O and the increases in nitrogen loading from seabird guanos will lead to significant increases in the flux of this atmospherically active gas.

[Carbon sequestration status of forest ecosystems in Ningxia Hui Autonomous Region].

Based on the data of Ningxia Hui Autonomous Region forest resources inventory, field investigation and laboratory analysis, this paper studied the carbon sequestration status of forest ecosystems in Ningxia region, estimated the carbon density and storage of forest ecosystems, and analyzed their spatial distribution characteristics. The results showed that the biomass of each forest vegetation component was in the order of arbor layer (46.64 Mg x hm(-2)) > litterfall layer (7.34 Mg x hm(-2)) > fine root layer (6.67 Mg x hm(-2)) > shrub-grass layer (0.73 Mg x hm(-2)). Spruce (115.43 Mg x hm(-2)) and Pinus tabuliformis (94.55 Mg x hm(-2)) had higher vegetation biomasses per unit area than other tree species. Over-mature forest had the highest arbor carbon density among the forests with different ages. However, the young forest had the highest arbor carbon storage (1.90 Tg C) due to its widest planted area. Overall, the average carbon density of forest ecosystems in Ningxia region was 265.74 Mg C x hm(-2), and the carbon storage was 43.54 Tg C. Carbon density and storage of vegetation were 27.24 Mg C x hm(-2) and 4.46 Tg C, respectively. Carbon storage in the soil was 8.76 times of that in the vegetation. In the southern part of Ningxia region, the forest carbon storage was higher than in the northern part, where the low C storage was mainly related to the small forest area and young forest age structure. With the improvement of forest age structure and the further implementation of forestry ecoengineering, the forest ecosystems in Ningxia region would achieve a huge carbon sequestration potential.