Author

A. I. Hudson

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Plant Biology· 2 Evolutionary Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:whole-genome sequencing· 2 Organism:C. elegans· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:genome assembly· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

D. E. Runcie· 2 shared J. Ross-Ibarra· 2 shared M.-H. Tixier· 2 shared P. Dubreuil· 2 shared S. Praud· 2 shared A. Zemenick· 1 shared B. Song· 1 shared C. Feschotte· 1 shared

Activity by Year

2021-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersPlant Biology

D. E. Runcie

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Author profile →

4 papers

Recent·Most cited

Transposable element abundance subtly contributes to lower fitness in maize

M. C. Stitzer, M. B. Khaipho-Burch, A. I. Hudson, B. Song, J. A. Valdes-Franco, G. P. Ramstein, C. Feschotte, E. S. Buckler

This study quantifies the fitness costs of transposable elements in maize by analyzing TE content across thousands of inbred lines and linking TE accumulation to reduced grain yield.

bioRxiv · Sep 18, 2023 · PreprintEvolutionary Biology

Thermal sensitivity and seasonal change in the gut microbiome of a desert ant, Cephalotes rohweri

M. S. McMunn, A. I. Hudson, A. Zemenick, M. Egerer, S. M. Philpott, R. L. Vannette

The paper examines how temperature affects the gut microbiome of desert ants, finding that bacterial abundance and composition change with elevated temperatures in both field and lab settings.

bioRxiv · Dec 28, 2021Microbiology

Analysis of genotype by environment interactions in a maize mapping population

A. I. Hudson, S. G. Odell, P. Dubreuil, M.-H. Tixier, S. Praud, D. E. Runcie, J. Ross-Ibarra

This study examines genotype by environment interactions in a maize population across five environments, finding that these interactions contribute significantly to trait variation and that genetic covariances change across environments.

bioRxiv · Jul 21, 2021Plant Biology

Modeling Allelic Diversity of Multi-parent Mapping Populations Affects Detection of Quantitative Trait Loci

S. Odell, A. I. Hudson, S. Praud, P. Dubreuil, M.-H. Tixier, J. Ross-Ibarra, D. E. Runcie

The paper compares QTL detection methods in a MAGIC maize population, showing varying power to detect QTL depending on the assumed allelic model.

bioRxiv · Jul 14, 2021Plant Biology