scholarly journals Peer Review #1 of "The community composition variation of Russulaceae associated with the Quercus mongolica forest during the growing season at Wudalianchi City, China (v0.1)"

2020 ◽  
Author(s):  
P Angelini
Keyword(s):  
Peer Review ◽  
Community Composition ◽  
Growing Season ◽  
Quercus Mongolica ◽  
Composition Variation

scholarly journals The community composition variation of Russulaceae associated with the Quercus mongolica forest during the growing season at Wudalianchi City, China

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8527
Author(s):  
Pengjie Xing ◽  
Yang Xu ◽  
Tingting Gao ◽  
Guanlin Li ◽  
Jijiang Zhou ◽  
...  
Keyword(s):  
Air Temperature ◽  
Relative Abundance ◽  
Fungal Community ◽  
Growing Season ◽  
Monthly Rainfall ◽  
Multivariate Linear Regression Analysis ◽  
Quercus Mongolica ◽  
Number Of Species ◽  
Composition Variation ◽  
Sequencing Method

Background Most species of the Russulaceae are ectomycorrhizal (ECM) fungi, which are widely distributed in different types of forest ecology and drive important ecological and economic functions. Little is known about the composition variation of the Russulaceae fungal community aboveground and in the root and soil during the growing season (June–October) from a Quercus mongolica forest. In this study, we investigated the changes in the composition of the Russulaceae during the growing season of this type of forest in Wudalianchi City, China. Methods To achieve this, the Sanger sequencing method was used to identify the Russulaceae aboveground, and the high-throughput sequencing method was used to analyze the species composition of the Russulaceae in the root and soil. Moreover, we used the Pearson correlation analysis, the redundancy analysis and the multivariate linear regression analysis to analyze which factors significantly affected the composition and distribution of the Russulaceae fungal community. Results A total of 56 species of Russulaceae were detected in the Q. mongolica forest, which included 48 species of Russula, seven species of Lactarius, and one species of Lactifluus. Russula was the dominant group. During the growing season, the sporocarps of Russula appeared earlier than those of Lactarius. The number of species aboveground exhibited a decrease after the increase and were significantly affected by the average monthly air temperature (r = −0.822, p = 0.045), average monthly relative humidity (r = −0.826, p = 0.043), monthly rainfall (r = 0.850, p = 0.032), soil moisture (r = 0.841, p = 0.036) and soil organic matter (r = 0.911, p = 0.012). In the roots and soils under the Q. mongolica forest, the number of species did not show an apparent trend. The number of species from the roots was the largest in September and the lowest in August, while those from the soils were the largest in October and the lowest in June. Both were significantly affected by the average monthly air temperature (r2 = 0.6083, p = 0.040) and monthly rainfall (r2 = 0.6354, p = 0.039). Moreover, the relative abundance of Russula and Lactarius in the roots and soils showed a linear correlation with the relative abundance of the other fungal genera.

scholarly journals Drivers of Microbial Community Structure in Surface Sediment Aross Bohai Sea

2020 ◽  
Author(s):  
lei chen ◽  
Yuntao Li ◽  
Mingpeng Wang ◽  
Weitao Shang ◽  
Jianhui Tang ◽  
...  
Keyword(s):  
Microbial Community ◽  
Bacterial Community ◽  
Community Composition ◽  
Surface Sediment ◽  
Bohai Sea ◽  
Bacterial Community Composition ◽  
Influential Factor ◽  
Main Role ◽  
Composition Variation ◽  
Α Diversity

Abstract Background: Microbial spatial distribution has been widely investigated in sediment. However, there is poorly available information on microbial distribution patterns in sediment of Bohai Sea coastal zone. Results: Here, we investigated the bacterial community composition and diversity in riverine and marine surface sediment around and in the Bohai Sea using high-throughput sequencing. Bacterial communities mainly comprised Proteobacteria, Bacteroidetes, and Firmicutes. Salinity, dissolved oxygen, pH, and magnetic susceptibility played the main role in determining bacterial α-diversity and community composition in this region. Of the total bacterial community composition variation, environmental factors (explained 29.41% of the total microbial community composition variation) played a more important role than spatial variables (explained 3.03%) in conditioning the bacterial community composition. Meanwhile, the significantly pure spatial effect and distance-decay tendency suggested that dispersal limitation was also an influential factor in shaping the bacterial biogeographical pattern. The presence of magnetite center might shape the geographical distribution of five genera Lactococcus, Clostridium, Caulobacter, Gillisia and Sphingomonas probably by affecting their iron-related geochemical cycle.Conclusion: Our results may provide a better understanding of present-day bacterial biogeography and the correlation between microbial communities and key environmental variables in a typical coastal area. Depending on these information, coastal resources could be efficiently predicted, assessed and used.

scholarly journals Changes in Community Composition Induced by Experimental Warming in an Alpine Meadow: Beyond Plant Functional Type

2021 ◽  
Vol 9 ◽  
Author(s):  
Xiaoli Hu ◽  
Wenlong Zhou ◽  
Xiaonuo Li ◽  
Karl J. Niklas ◽  
Shucun Sun
Keyword(s):  
Community Composition ◽  
Relative Abundance ◽  
Climate Warming ◽  
Alpine Meadow ◽  
Growing Season ◽  
Species Level ◽  
Mean Annual Temperature ◽  
Functional Type ◽  
Species Identity ◽  
Induced Changes

Climate warming exerts profound effects on plant community composition. However, responses to climate warming are often reported at the community and functional type levels, but not at the species level. To test whether warming-induced changes are consistent among community, functional type, and species levels, we examined the warming-induced changes at different levels in an alpine meadow from 2015 to 2018. The warming was achieved by deploying six (open top) chambers [including three non-warmed chambers and three warmed chambers; 15 × 15 × 2.5 m (height) for each] that resulted in a small increase in mean annual temperature (0.3–0.5°C, varying with years) with a higher increase during the non-growing season (0.4–0.6°C) than in the growing season (0.03–0.47°C). The results show that warming increased plant aboveground biomass but did not change species richness, or Shannon diversity and evenness at the community level. At the functional type level, warming increased the relative abundance of grasses from 3 to 16%, but decreased the relative abundance of forbs from 89 to 79%; relative abundances of sedges and legumes were unchanged. However, for a given functional type, warming could result in contrasting effects on the relative abundance among species, e.g., the abundances of the forb species Geranium pylzowianum, Potentilla anserine, Euphrasia pectinate, and the sedge species Carex atrofusca increased in the warmed (compared to the non-warmed) chambers. More importantly, the difference in species identity between warmed and non-warmed chambers revealed warming-induced species loss. Specifically, four forb species were lost in both types of chambers, one additional forb species (Angelica apaensis) was lost in the non-warmed chambers, and two additional species (one forb species Saussurea stella and one sedge species Blysmus sinocompressus) were lost in the warmed chambers. Consequently, changes at the species level could not be deduced from the results at the community or functional type levels. These data indicate that species-level responses to climate changes must be more intensively studied. This work also highlights the importance of examining species identity (and not only species number) to study changes of community composition in response to climate warming.

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