Author

A. Kakrana

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· 3

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Research Focus:cell type annotation· 3 Research Focus:gene regulatory network inference· 2 Organism:plant (other)· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

B. C. Meyers· 3 shared P. Patel· 2 shared S. Mathioni· 2 shared A. Chalfun-Junior· 1 shared A. Dusia· 1 shared A. E. Harkess· 1 shared C. N. Fernandes- Brum· 1 shared G. d. C. Rume· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersPlant Biology

B. C. Meyers

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Author profile →

3 papers

Recent·Most cited

Coffee microsporogenesis and related small interfering RNAs biosynthesis have a unique pattern among eudicots suggesting a sensitivity to climate changes.

K. de Oliveira, R. R. de Oliveira, G. d. C. Rume, T. C. Rume, C. N. Fernandes- Brum, A. Kakrana, S. Mathioni, B. C. Meyers, M. d. S. Gomes, A. Chalfun-Junior

The paper studies microsporogenesis and phasiRNA biosynthesis in Coffea arabica, revealing unique patterns and temperature sensitivity in eudicots.

bioRxiv · Jul 6, 2023 · PreprintPlant Biology

Reproductive phasiRNA loci and DICER-LIKE5, but not microRNA loci, diversified in monocotyledonous plants

P. Patel, S. M. Mathioni, R. Hammond, A. E. Harkess, A. Kakrana, S. Arikit, A. Dusia, B. C. Meyers

The paper characterizes miRNA, siRNA, and phasiRNA diversity across 38 monocot species, finding 21-nt reproductive phasiRNAs are more common in grasses and DCL5 likely originated before grass diversification.

bioRxiv · Apr 25, 2020Plant Biology

Reproductive phasiRNAs in grasses are compositionally distinct from other classes of small RNAs

P. Patel, S. Mathioni, A. Kakrana, H. Shatkay, B. C. Meyers

The paper uses machine learning to identify reproductive phasiRNAs in rice and maize, finding they have distinct sequence features and strand specificity compared to other small RNAs.

bioRxiv · Mar 17, 2018Plant Biology