2019
DOI: 10.3389/fmicb.2019.02655
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Soil Property and Plant Diversity Determine Bacterial Turnover and Network Interactions in a Typical Arid Inland River Basin, Northwest China

Abstract: Water sources from the lower reaches of the Heihe River northwest China, located in an arid area impacted by environmental stresses, have promoted changes to the local soil and plant conditions; however, our understanding of variations and drivers of soil bacterial communities in an arid inland river basin remains unclear. Therefore, we collected 39 soil samples from a riparian oasis zone (ROZ) to the circumjacent desert zone (CDZ) at the lower reaches of Heihe River to evaluate bacterial communities based on … Show more

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Cited by 15 publications
(11 citation statements)
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“…Desert bacterial communities are recognized as being unstable and vulnerable to change ( Wang et al, 2019 ). However, the increased of water and nutrient availability afforded by the water supply from a river, provides increased scope for interactions between different species ( Zeglin et al, 2011 ).…”
Section: Discussionmentioning
confidence: 99%
“…Desert bacterial communities are recognized as being unstable and vulnerable to change ( Wang et al, 2019 ). However, the increased of water and nutrient availability afforded by the water supply from a river, provides increased scope for interactions between different species ( Zeglin et al, 2011 ).…”
Section: Discussionmentioning
confidence: 99%
“…The methods of field sampling and the measurement of soil properties as well as plant functional traits have been described in our previous study (Wang et al ., 2019). Therefore, only a brief summary of the methods is given here.…”
Section: Methodsmentioning
confidence: 99%
“…The mass spectrometry proteomics data for this benchmark set are split into two separate depositions, for the training and testing datasets respectively. The training dataset consists of spectra from 51 organisms and has been deposited to the ProteomeXchange Consortium via the PRIDE 25 partner repository with the dataset identifier PXD010000. The testing dataset consists of spectra for 4 organisms and has been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD010613.…”
Section: Methodsmentioning
confidence: 99%
“…All of the highly abundant phyla detected by 16S were also detected by Kaiko (Table 1). Several phyla uniquely found by Kaiko are known to be present in environmental soils [23][24][25][26][27][28] . For example, Candidatus Rokubacteria is distributed globally in diverse terrestrial ecosystems, including soils and the rhizosphere 23 and Candidatus Tectomicrobia has also been detected in soils 24 .…”
Section: Building a Protein Database Without Metagenomicsmentioning
confidence: 99%