Alonso Serrano

Alonso Serrano
Swedish University of Agricultural Sciences | SLU · Department of Forest Genetics and Plant Physiology

Master of Science

About

4
Publications
522
Reads
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19
Citations
Citations since 2017
4 Research Items
19 Citations
201720182019202020212022202302468
201720182019202020212022202302468
201720182019202020212022202302468
201720182019202020212022202302468
Education
September 2014 - June 2018
National Distance Education University
Field of study
  • Computer engineering
September 2006 - June 2008
Universidad Autónoma de Madrid
Field of study
  • Food science and technology
September 2002 - June 2006
Universidad Autónoma de Madrid
Field of study
  • Biology

Publications

Publications (4)
Preprint
Full-text available
Most bacteria cells are protected by a peptidoglycan cell wall. Defining the chemical structure of the peptidoglycan has been instrumental to characterize cell wall associated proteins and to illuminate the mode of action of cell wall-acting antibiotics. However, a major roadblock for a comprehensive understanding of peptidoglycan homeostasis has b...
Article
Full-text available
Carbon storage and cycling in boreal forests-the largest terrestrial carbon store-is moderated by complex interactions between trees and soil microorganisms. However, existing methods limit our ability to predict how changes in environmental conditions will alter these associations and the essential ecosystem services they provide. To address this,...
Article
Full-text available
Drought stress impacts seedling establishment, survival and whole-plant productivity. Molecular responses to drought stress have been most extensively studied in herbaceous species, mostly considering only aboveground tissues. Coniferous tree species dominate boreal forests, which are predicted to be exposed to more frequent and acute drought as a...
Preprint
Full-text available
Gene network analysis is a powerful tool to identify and prioritize candidate genes, especially from data sets where experimental design renders other approaches, such as differential expression analysis, limiting or infeasible. Numerous gene network inference algorithms have been published and are commonly individually applied in transcriptomics s...

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