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Soil bacterial and fungal networks are less stable under pika disturbance than archaeal networks

ABSTRACT: pika disturbance and network analysis

PROVIDER: PRJEB49229 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	ERR7564540.fastq.gz	Fastqsanger.gz
	ERR7564550.fastq.gz	Fastqsanger.gz
	ERR7564560.fastq.gz	Fastqsanger.gz
	ERR7564570.fastq.gz	Fastqsanger.gz
	ERR7564580.fastq.gz	Fastqsanger.gz

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Soil bacterial networks are less stable under drought than fungal networks.

Project description:Soil microbial communities play a crucial role in ecosystem functioning, but it is unknown how co-occurrence networks within these communities respond to disturbances such as climate extremes. This represents an important knowledge gap because changes in microbial networks could have implications for their functioning and vulnerability to future disturbances. Here, we show in grassland mesocosms that drought promotes destabilising properties in soil bacterial, but not fungal, co-occurrence networks, and that changes in bacterial communities link more strongly to soil functioning during recovery than do changes in fungal communities. Moreover, we reveal that drought has a prolonged effect on bacterial communities and their co-occurrence networks via changes in vegetation composition and resultant reductions in soil moisture. Our results provide new insight in the mechanisms through which drought alters soil microbial communities with potential long-term consequences, including future plant community composition and the ability of aboveground and belowground communities to withstand future disturbances.

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Project description:MAF from pika Epas1-3FLAG knock-in mice were extracted and immortalized. After 12h DMOG treatment, cells were conducted for the ChIP-seq (Bmal1,Flag). We found that in knock-in mice fibroblasts, EPAS1-3FLAG can bind to similar E-box locus compared with BMAL1. Fibroblasts from mouse, rat, rabbit and Tibetan pika were extracted (and Tibetan pika fibroblasts were immortalized). RNA was extracted at 90% confluency. We found that Per2 mRNA level was significantly lower in Tibetan pika fibroblasts compared with other species.

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Project description:Social network analysis has been widely used to investigate the dynamics of social interactions and the evolution of social complexity across a range of taxa. Anuran species are highly dependent on vocal communication in mate choice; however, these species have rarely been the subject of social network analysis. The present study used social network analysis to investigate whether vocal network structures are consistent in Emei music frog (Babina daunchina) after the introduction of a simulated exotic rival of varying competitiveness into the social group. We broadcasted six categories of artificial calls (either highly sexually attractive calls produced from inside male nests or calls of low sexual attractiveness produced outside nests with three, five or seven notes, respectively) to simulate an intruder with different levels of competitiveness. We then constructed vocal networks for two time periods (before and after the disturbance) and quantified three network metrics (strength, closeness, and betweenness) that measure different aspects of individual-level position. We used the mean values of these network metrics to evaluate group-level changes in network structure. We found that the mean strength, mean closeness and mean betweenness were consistent between two time periods in all ponds, despite the fact that the positions of some individuals had changed markedly after disturbance. In addition, there was no significant interaction effect between period and numbers of notes on the three network metrics. These finding suggest that the structure of vocal networks in Emei music frogs remain stable at the group level after a conspecific disturbance, regardless of the intruder's competitiveness.

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