Estimating the methane flux of the Dajiuhu subalpine peatland using machine learning algorithms and the maximal information coefficient technique.

The eddy covariance (EC) technique has emerged as the most widely used method for long-term continuous methane flux (FCH) observations. However, the completeness of the FCH time series is limited by instrumental failures and data quality issues, resulting in missing data gaps ranging from 20 % to 90 %. In this situation, the excellent performance of machine learning (ML) algorithms in filling missing FCH data has provided a foundation for developing regional-scale FCH models.

Interactions among heavy metals and methane-metabolizing microorganisms and their effects on methane emissions in Dajiuhu peatland.

Peatlands play a crucial role in mediating the emissions of methane through active biogeochemical cycling of accumulated carbon driven by methane-metabolizing microorganisms; meanwhile, they serve as vital archives of atmospheric heavy metal deposition. Despite many edaphic factors confirmed as determinants to modulate the structure of methanotrophic and methanogenic communities, recognition of interactions among them is limited. In this study, peat soils were collected from Dajiuhu peatland to assess the presence of heavy metals, and methanotrophs and methanogens were investigated via high-throughput sequencing for functional genes mcrA and pmoA.

[Estimation of evapotranspiration and crop coefficient in Dajiuhu peatland of Shennongjia based on FAO56 Penman-Monteith].

We collected evapotranspiration data of Dajiuhu peatland in Shennongjia from 2016 to 2017 with eddy covariance method and estimated the value of crop coefficient (K) using FAO56 Penman-Monteith equation and the linear relationship between actual evapotranspiration (ET) and referenced evapotranspiration (ET). We analyzed the characteristics of referenced evapotranspiration and its main influencing factors and calculated the crop coefficient of the wetland dominated by Sphagnum. The results showed that the daily averaged ET were 1.

Overexpression of miR-4286 is an unfavorable prognostic marker in individuals with non-small cell lung cancer.

Non-small cell lung cancer (NSCLC) is still an unresolved source of tumor-related death internationally. Current studies have discovered that microRNAs (miRNAs) are associated with diverse cancers development, including NSCLC. Our paper focused on the functional character of miR-4286 in NSCLC.

Pyrrolizidine alkaloid variation in populations from native and invasive ranges.

Biological invasion is regarded as one of the greatest environmental problems facilitated by globalization. Some hypotheses about the invasive mechanisms of alien invasive plants consider the plant-herbivore interaction and the role of plant defense in this interaction. For example, the "Shift Defense Hypothesis" (SDH) argues that introduced plants evolve higher levels of qualitative defense chemicals and decreased levels of quantitative defense, as they are released of the selective pressures from specialist herbivores but still face attack from generalists.

Analysis on biomass and productivity of epilithic algae and their relations to environmental factors in the Gufu River basin, Three Gorges Reservoir area, China.

The main purpose of this study conducted from August 2010 was to find biomass and productivity of epilithic algae and their relations to environmental factors and try to explore the restrictive factors affecting the growth of algae in the Gufu River, the one of the branches of Xiangxi River located in the Three Gorges Reservoir of the Yangtze River, Hubei Province, Central China. An improved method of in situ primary productivity measurement was utilized to estimate the primary production of the epilithic algae. It was shown that in rivers, lakes, and reservoirs, algae are the main primary producers and have a central role in the ecosystem.

[Screening and structure analysis of the aptamer target to Escherichia coli tolC protein].

Objective: To screen and characterize the aptamer of Escherichia coli outer member protein tolC.

Methods: By using the recombinant E.coli outer member protein tolC for the screening target, oligonucleotides which were capable of specifically binding to the protein were screened from a random oligonucleotide library through the stematic evolution of ligand by exponential enrichment (SELEX) technique.