Disease resistance gene count increases with rainfall in Silphium integrifolium

Author:

Keepers Kyle1ORCID,Peterson Kelsey1,Raduski Andrew1,Turner Kathryn M.2,Van Tassel David2,Smith Kevin3,Harkess Alex4,Bever James D.5,Brandvain Yaniv1

Affiliation:

1. Department of Plant and Microbial Biology University of Minnesota St Paul Minnesota USA

2. Crop Protection Ecology The Land Institute Salina Kansas USA

3. Department of Agronomy and Plant Genetics University of Minnesota St Paul Minnesota USA

4. HudsonAlpha Institute for Biotechnology Huntsville Alabama USA

5. Department of Ecology and Evolutionary Biology University of Kansas Lawrence Kansas USA

Abstract

AbstractIntracellular plant defense against pathogens is mediated by a class of disease resistance genes known as NB‐LRRs or NLRs (R genes). Many of the diseases these genes protect against are more prevalent in regions of higher rainfall, which provide better growth conditions for the pathogens. As such, we expect a higher selective pressure for the maintenance and proliferation of R genes in plants adapted to wetter conditions. In this study, we enriched libraries for R genes using RenSeq from baits primarily developed from the common sunflower (Helianthus annuus) reference genome. We sequenced the R gene libraries of Silphium integrifolium Michx, a perennial relative of sunflower, from 12 prairie remnants across a rainfall gradient in the Central Plains of the United States, with both Illumina short‐read (n = 99) and PacBio long‐read (n = 10) approaches. We found a positive relationship between the mean effective annual precipitation of a plant's source prairie remnant and the number of R genes in its genome, consistent with intensity of plant pathogen coevolution increasing with precipitation. We show that RenSeq can be applied to the study of ecological hypotheses in non‐model relatives of model organisms.

Funder

National Science Foundation

Publisher

Wiley

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