Catabolic profiles of cultivable microbial communities in forest soils of western Algeria along a latitudinal gradient

2017 ◽  
Vol 9 ◽  
pp. 157-169
Author(s):  
Borsali Amine Habib ◽  
Zouidi Mohamed ◽  
Hachem Kadda ◽  
Gros Raphael ◽  
Theoneste Hagenimana
Keyword(s):  
Microbial Communities ◽  
Forest Soils ◽  
Latitudinal Gradient ◽  
Western Algeria

Diversity patterns and drivers of methanotrophic gene distributions in forest soils across a large latitudinal gradient

2021 ◽  
Author(s):  
Yongping Kou ◽  
Wenqiang Zhao ◽  
Yanjiao Liu ◽  
Yanhong Wu ◽  
Jiangtao Xiao ◽  
...  
Keyword(s):  
Forest Soils ◽  
Latitudinal Gradient ◽  
Diversity Patterns

scholarly journals Microbial communities in local and transplanted soils along a latitudinal gradient

CATENA ◽  
2019 ◽  
Vol 173 ◽  
pp. 456-464 ◽  
Author(s):  
Petr Heděnec ◽  
Veronika Jílková ◽  
Qiang Lin ◽  
Tomáš Cajthaml ◽  
Alena Filipová ◽  
...  
Keyword(s):  
Microbial Communities ◽  
Latitudinal Gradient

Shift of the microbial communities from exposed sandstone rocks to forest soils during pedogenesis

2019 ◽  
Vol 140 ◽  
pp. 21-28 ◽  
Author(s):  
Yaping Liu ◽  
Meixi Lu ◽  
Xiaowen Zhang ◽  
Qibiao Sun ◽  
Renlu Liu ◽  
...  
Keyword(s):  
Microbial Communities ◽  
Forest Soils

Changes in nitrogen-cycling microbial communities with depth in temperate and subtropical forest soils

2018 ◽  
Vol 124 ◽  
pp. 218-228 ◽  
Author(s):  
Yuqian Tang ◽  
Guirui Yu ◽  
Xinyu Zhang ◽  
Qiufeng Wang ◽  
Jianping Ge ◽  
...  
Keyword(s):  
Microbial Communities ◽  
Nitrogen Cycling ◽  
Forest Soils ◽  
Subtropical Forest

A latitudinal gradient in carbon turnover times in forest soils

Nature ◽  
1996 ◽  
Vol 381 (6578) ◽  
pp. 143-146 ◽  
Author(s):  
Michael I. Bird ◽  
Allan R. Chivas ◽  
John Head
Keyword(s):  
Forest Soils ◽  
Latitudinal Gradient ◽  
Carbon Turnover

Structure of the Microbial Communities in Coniferous Forest Soils in Relation to Site Fertility and Stand Development Stage

1999 ◽  
Vol 38 (2) ◽  
pp. 168-179 ◽  
Author(s):  
T. Pennanen ◽  
J. Liski ◽  
E. Bååth ◽  
V. Kitunen ◽  
J. Uotila ◽  
...  
Keyword(s):  
Microbial Communities ◽  
Forest Soils ◽  
Coniferous Forest ◽  
Development Stage ◽  
Stand Development ◽  
Site Fertility

scholarly journals Ester Linked Fatty Acid (ELFA) method should be used with caution for interpretating soil microbial communities and their relationships with environmental variables in forest soils

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251501
Author(s):  
Wenjuan Yu ◽  
Huanhuan Gao ◽  
Hongzhang Kang
Keyword(s):  
Fatty Acid ◽  
Microbial Biomass ◽  
Microbial Communities ◽  
Forest Soils ◽  
Environmental Variables ◽  
Phospholipid Fatty Acid ◽  
Soil Microbial Communities ◽  
Environmental Drivers ◽  
Soil Microbial ◽  
Forest Sites

As an alternative for phospholipid fatty acid (PLFA) analysis, a simpler ester linked fatty acid (ELFA) analysis has been developed to characterize soil microbial communities. However, few studies have compared the two methods in forest soils where the contribution of nonmicrobial sources may be larger than that of microbial sources. Moreover, it remains unclear whether the two methods yield similar relationships of microbial biomass and composition with environmental variables. Here, we compared PLFA and ELFA methods with respect to microbial biomass and composition and their relationships with environmental variables in six oriental oak (Quercus variabilis) forest sites along a 1500-km latitudinal gradient in East China. We found that both methods had a low sample-to-sample variability and successfully separated overall community composition of sites. However, total, bacterial, and fungal biomass, the fungal-to-bacterial ratio, and the gram-positive to gram-negative bacteria ratio were not significantly or strongly correlated between the two methods. The relationships of these microbial properties with environmental variables (pH, precipitation, and clay) greatly differed between the two methods. Our study indicates that despite its simplicity, the ELFA method may not be as feasible as the PLFA method for investigating microbial biomass and composition and for identifying their dominant environmental drivers, at least in forest soils.

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