SNIC
SUPR
SNIC SUPR
Luftfilterserie
Dnr:

SNIC 2018/3-174

Type:

SNAC Medium

Principal Investigator:

Per Stenberg

Affiliation:

UmeƄ universitet

Start Date:

2018-04-01

End Date:

2019-04-01

Primary Classification:

10611: Ecology

Secondary Classification:

10609: Genetics (medical to be 30107 and agricultural to be 40402)

Tertiary Classification:

10610: Bioinformatics and Systems Biology (methods development to be 10203)

Allocation

Abstract

Long term and high resolution historical biodiversity data are required to make accurate predictions about how the biodiversity will respond to human-induced alterations in the environment. Microorganisms, vital to ecosystem functioning and services, are hard to monitor using traditional surveillance methods and are commonly not included in models of how biodiversity responds to environmental change. By using high throughput DNA sequencing, and an unbroken line of air samples collected weekly over five decades we will reconstruct microbial biodiversity and study the presence and temporal change in a wide range of organisms in the environment.