Petroleum hydrocarbons, mainly consisting of n-alkanes and polycyclic aromatic hydrocarbons (PAHs), are considered as priority pollutants and biohazards in the environment, eventually affecting the ecosystem and human health. Though many previous studies have investigated the change of bacterial community and alkane degraders during the degradation of petroleum hydrocarbons, there is still lack of understanding on the impacts of soil alkane contamination level. In the present study, microcosms with different n-alkane contamination (1%, 3% and 5%) were set up and our results indicated a complete alkane degradation after 30 and 50 days in 1%- and 3%-alkane treatments, respectively. In all the treatments, alkanes with medium-chain length (C11-C14) were preferentially degraded by soil microbes, followed by C27-alkane in 3% and 5% treatments. Alkane contamination level slightly altered soil bacterial community, and the main change was the presence and abundance of dominant alkane degraders. Thermogemmatisporaceae, Gemmataceae and Thermodesulfovibrionaceae were highly related to the degradation of C14- and C27-alkanes in 5% treatment, but linked to alkanes with medium-chain (C11-C18) in 1% treatment and C21-alkane in 3% treatment, respectively. Additionally, we compared the abundance of three alkane-monooxygenase genes, e.g., alk_A, alk_P and alk_R. The abundance of alk_R gene was highest in soils, and alk_P gene was more correlated with alkane degradation efficiency, especially in 5% treatment. Our results suggested that alkane contamination level showed non-negligible effects on soil bacterial communities to some extents, and particularly shaped alkane degraders and degrading genes significantly. This study provides a better understanding on the response of alkane degraders and bacterial communities to soil alkane concentrations, which affects their biodegradation process.
Concentrations of mono- (MBT), di- (DBT), and tri-(TBT) butyltin compounds were measured in eggs, liver, and muscle of nine
species of fish from four regions of the Baltic Sea - the Firth of Vistula, the Gulf of Gdańsk, Puck Bay, and the mouth of
the Vistula River. The overall concentration ranges among all the fish sampled from the four sites were: < 7 to 79 ng/g for
MBT, 6 to 1100 ng/g for DBT, 7 to 3600 ng/g for TBT, and 16 to 4800 ng/g for total BTs, on a wet wt basis. The highest concentration
of total BTs was found in herring liver from the Firth of Vistula (4800 ng/g, wet wt) and in roach muscle from Puck Bay (3300
ng/g, wet wt), while the least concentration was found in burbot eggs and liver from the Vistula River (39 and 32 ng/g, wet
wt, respectively). TBT was the major form of BTs present in most samples analyzed. Sediment samples collected from shipyards
in the Gulf of Gdańsk contained butyltin concentrations ranging from 1.2 to 46 μg/g (dry wt) for MBT, 2.0 to 42 μg/g for DBT,
and 2.6 to 40 μg/g for TBT. As with the fish, the majority of the BTs in sediment were present as TBT, which suggested recent
exposure of the aquatic environment of the region to TBT. 相似文献
In general, contamination levels tend to be highest close to sources of a chemical and decline with increasing distance as
a result of dilution, dispersion and degradation. However, contrary to this, circumstances have been described when contamination
levels are higher further away from sources than at the sources themselves. Examples are elevated levels of persistent, hydrophobic,
organic chemicals in the Arctic, in mountain regions and in forest soils. In order to address the questions of why and when
such an inversion of environmental levels is occurring, this paper seeks to identify, name and categorise principles of general
validity leading to such behaviour. By compiling and analysing various causes of elevated contamination levels in the environment,
three main categories became apparent, 1. equilibrium partitioning effects, 2. effects resulting from changes in phase composition,
volume or temperature, and 3. dynamic or kinetic effects. These principles are illustrated with several examples. The case
can be made that understanding, quantifying and predicting these causes could provide a general conceptual framework for studying
the fate of chemicals in the environment. 相似文献