Author

D. P. Schachtman

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

Biology Disciplines

Click to filter author papers

Microbiology· 2 Plant Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:plant (other)· 3 Assay:bulk RNA-seq· 2 Approach:experimental assay· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Research Focus:metabolism & bioenergetics· 1 Assay:metagenomics· 1

Frequent Co-Authors

A. M. Sheflin· 2 shared E. Goren· 2 shared J. E. Prenni· 2 shared P. Liu· 2 shared S. Tringe· 2 shared C. Wang· 1 shared D. Chiniquy· 1 shared I. Baxter· 1 shared

Activity by Year

2017-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersMicrobiology

A. M. Sheflin

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Root associated bacterial communities and root metabolite composition are linked to nitrogen use efficiency in sorghum

Y. N. Chai, Y. Qi, E. Goren, A. M. Sheflin, S. Tringe, J. E. Prenni, P. Liu, D. P. Schachtman

This study links root-associated bacterial communities and root metabolite composition to nitrogen use efficiency in sorghum under different nitrogen conditions.

bioRxiv · Feb 8, 2023Microbiology

Feature selection and causal analysis for microbiome studies in the presence of confounding using standardization

E. Goren, C. Wang, Z. He, A. M. Sheflin, D. Chiniquy, J. E. Prenni, S. Tringe, D. P. Schachtman, P. Liu

This paper introduces a method to identify microbiome features affecting outcomes while controlling for confounding variables, showing improved accuracy in agricultural microbiome studies.

bioRxiv · Aug 9, 2020Microbiology

High-throughput profiling and analysis of plant responses over time to abiotic stress

K. M. Veley, J. C. Berry, S. J. Fentress, D. P. Schachtman, I. Baxter, R. Bart

This paper develops methods to quantify plant abiotic stress responses over time using phenotyping and ionomic profiling in sorghum.

bioRxiv · Jul 26, 2017Plant Biology