2019
DOI: 10.1016/j.geoderma.2019.03.046
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Shifts in soil microbial community functional gene structure across a 61-year desert revegetation chronosequence

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Cited by 55 publications
(30 citation statements)
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“…Soil archaeal abundance is closely related to OC and OM, which suggests that OM and the most basic metabolic source of archaea can significantly affect soil archaeal abundance (Yang et al 2014). Moisture, pH, and soil EC were considered as possible determinants limiting the abundance of soil (Hu et al 2019a;Liu et al 2017) [37,38]. However, in this study, Spearman correlation analysis showed that moisture was not a determinant of soil archaebacterial abundance in desert soil of PV parks.…”
Section: Discussioncontrasting
confidence: 57%
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“…Soil archaeal abundance is closely related to OC and OM, which suggests that OM and the most basic metabolic source of archaea can significantly affect soil archaeal abundance (Yang et al 2014). Moisture, pH, and soil EC were considered as possible determinants limiting the abundance of soil (Hu et al 2019a;Liu et al 2017) [37,38]. However, in this study, Spearman correlation analysis showed that moisture was not a determinant of soil archaebacterial abundance in desert soil of PV parks.…”
Section: Discussioncontrasting
confidence: 57%
“…A study of archaea in the Tengger Desert during the vegetation recovery period showed that the 16S rRNA gene copy number of archaeal communities increased significantly during the first 5 a of biological soil crust development, and then decreased with ecological succession (Zhao et al 2020). However, another study on Tengger Desert soil showed that the abundance of archaeal genes generally increased throughout the succession after 61 a of vegetation restoration (Hu et al 2019b). The results of several previous studies have also shown that soil microbial communities can increase rapidly in the early stages of desert vegetation restoration (Liu et al 2013).…”
Section: Discussionmentioning
confidence: 99%
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“…The hierarchical clustering of level 2 KEGG ortholog function prediction at metabolism level showed that the microbial community has responded more towards amino acid (20.66%), carbohydrate (19.85%), energy (10.76%) and lipid metabolism (7.23%) and less towards glycan biosynthesis, synthesis of secondary metabolites, terpenoids and biodegradation (1.8 -7%). Few studies has predicted the prevalence and abundance of carbon (C), nitrogen (N) and phosphorus (P) cycle related genes [79][80][81][82]. At energy metabolism level, methane metabolism, which is confiscated by methanogenesis, was higher since the experimental soil was under flooded conditions.…”
Section: Ommentioning
confidence: 99%