Format

Send to

Choose Destination
Nat Plants. 2020 Feb;6(2):119-130. doi: 10.1038/s41477-019-0589-3. Epub 2020 Feb 10.

An inferred fitness consequence map of the rice genome.

Author information

1
Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, USA.
2
Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.
3
Laboratory of Genetics and Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA.
4
Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, USA. mp132@nyu.edu.
5
Center for Genomics and Systems Biology, NYU Abu Dhabi Research Institute, NYU Abu Dhabi, Abu Dhabi, United Arab Emirates. mp132@nyu.edu.

Abstract

The extent to which sequence variation impacts plant fitness is poorly understood. High-resolution maps detailing the constraint acting on the genome, especially in regulatory sites, would be beneficial as functional annotation of noncoding sequences remains sparse. Here, we present a fitness consequence (fitCons) map for rice (Oryza sativa). We inferred fitCons scores (ρ) for 246 inferred genome classes derived from nine functional genomic and epigenomic datasets, including chromatin accessibility, messenger RNA/small RNA transcription, DNA methylation, histone modifications and engaged RNA polymerase activity. These were integrated with genome-wide polymorphism and divergence data from 1,477 rice accessions and 11 reference genome sequences in the Oryzeae. We found ρ to be multimodal, with ~9% of the rice genome falling into classes where more than half of the bases would probably have a fitness consequence if mutated. Around 2% of the rice genome showed evidence of weak negative selection, frequently at candidate regulatory sites, including a novel set of 1,000 potentially active enhancer elements. This fitCons map provides perspective on the evolutionary forces associated with genome diversity, aids in genome annotation and can guide crop breeding programs.

PMID:
32042156
DOI:
10.1038/s41477-019-0589-3

Supplemental Content

Full text links

Icon for Nature Publishing Group
Loading ...
Support Center