Semantic Scholar Open Access 2023 67 sitasi

The community-function landscape of microbial consortia.

Álvaro Sánchez Djordje Bajić Juan Díaz-Colunga Abigail Skwara Jean C. C. Vila +1 lainnya

Lihat Sumber DOI

Abstrak

Quantitatively linking the composition and function of microbial communities is a major aspiration of microbial ecology. Microbial community functions emerge from a complex web of molecular interactions between cells, which give rise to population-level interactions among strains and species. Incorporating this complexity into predictive models is highly challenging. Inspired by a similar problem in genetics of predicting quantitative phenotypes from genotypes, an ecological community-function (or structure-function) landscape could be defined that maps community composition and function. In this piece, we present an overview of our current understanding of these community landscapes, their uses, limitations, and open questions. We argue that exploiting the parallels between both landscapes could bring powerful predictive methodologies from evolution and genetics into ecology, providing a boost to our ability to engineer and optimize microbial consortia.

Topik & Kata Kunci

Medicine

Penulis (6)

Álvaro Sánchez

Djordje Bajić

Juan Díaz-Colunga

Abigail Skwara

Jean C. C. Vila

S. Kuehn

Format Sitasi

APA MLA BibTeX

Sánchez, Á., Bajić, D., Díaz-Colunga, J., Skwara, A., Vila, J.C.C., Kuehn, S. (2023). The community-function landscape of microbial consortia.. https://doi.org/10.1016/j.cels.2022.12.011

Akses Cepat

Lihat di Sumber doi.org/10.1016/j.cels.2022.12.011

Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Total Sitasi: 67×
Sumber Database: Semantic Scholar
DOI: 10.1016/j.cels.2022.12.011
Akses: Open Access ✓