Inferring interactions in complex microbial communities from nucleotide sequence data and environmental parameters

نویسندگان

  • Yu Shang
  • Johannes Sikorski
  • Michael Bonkowski
  • Anna-Maria Fiore-Donno
  • Ellen Kandeler
  • Sven Marhan
  • Runa S. Boeddinghaus
  • Emily F. Solly
  • Marion Schrumpf
  • Ingo Schöning
  • Tesfaye Wubet
  • Francois Buscot
  • Jörg Overmann
چکیده

Interactions occur between two or more organisms affecting each other. Interactions are decisive for the ecology of the organisms. Without direct experimental evidence the analysis of interactions is difficult. Correlation analyses that are based on co-occurrences are often used to approximate interaction. Here, we present a new mathematical model to estimate the interaction strengths between taxa, based on changes in their relative abundances across environmental gradients.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Mapping the ecological networks of microbial communities from steady-state data

Microbes form complex and dynamic ecosystems that play key roles in the health of the animals and plants with which they are associated. The inter-species interactions are often represented by a directed, signed and weighted ecological network, where nodes represent microbial species and edges represent ecological interactions. Inferring the underlying ecological networks of microbial communiti...

متن کامل

Analyzing Metagenomic Data: Inferring Microbial Community Function with Mg-rast

Application of massively parallel throughput DNA sequencing technologies to the generation of metagenomic datasets from environmental samples is presently transforming the field of microbiology. Whereas traditional (Sanger-based) DNA sequencing technology imparted a high economic cost on data generation, the development of “next-generation” technologies now make the large-scale generation of se...

متن کامل

Metagenomic analyses: past and future trends.

Metagenomics has revolutionized microbiology by paving the way for a cultivation-independent assessment and exploitation of microbial communities present in complex ecosystems. Metagenomics comprising construction and screening of metagenomic DNA libraries has proven to be a powerful tool to isolate new enzymes and drugs of industrial importance. So far, the majority of the metagenomically expl...

متن کامل

Multivariate analysis of complex DNA sequence electropherograms for high-throughput quantitative analysis of mixed microbial populations.

High-throughput quantification of genetically coherent units (GCUs) is essential for deciphering population dynamics and species interactions within a community of microbes. Current techniques for microbial community analyses are, however, not suitable for this kind of high-throughput application. Here, we demonstrate the use of multivariate statistical analysis of complex DNA sequence electrop...

متن کامل

New methods for inferring population dynamics from microbial sequences.

The reduced cost of high throughput sequencing, increasing automation, and the amenability of sequence data for evolutionary analysis are making DNA data (or the corresponding amino acid sequences) the molecular marker of choice for studying microbial population genetics and phylogenetics. Concomitantly, due to the ever-increasing computational power, new, more accurate (and sometimes faster), ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 12  شماره 

صفحات  -

تاریخ انتشار 2017