bioRxivPathologyPreprint
Transposon-associated genetic structure of a fungal phytopathogen population of wheat
Huyen T. T. PhaniD, Manisha Shankar, Darcy JonesiD, Eiko FurukiiD, Kasia Rybak, Fiona L. KamphuisiD, Hossein GolzariD, Richard Peter OliveriD
Abstract
Septoria nodorum blotch (SNB) is an economically important fungal disease of wheat caused by Parastagonospora nodorum. It is primarily controlled by the breeding of resistant wheat cultivars, but experience over the last 50 years shows that new pathogen populations soon evolve that are more virulent on the current popular cultivars. In this study, we assembled a panel of 360 P. nodorum isolates. The collection resolved into eight subpopulations. One core and seven transient populations were found possessing contrasting characters in term of spatial and temporal distribution, mating-type, effector haplotypes and patterns of intact and degraded copies of a Tc-1 mariner transposon, called Molly. Molly can proliferate and randomly insert throughout the fungal genome. Its multiplication in sexual population likely triggered RIP which partially explains the extensive genetic diversity and explains the ability to form new adapted lineages and the observed population structure of this important pathogen of wheat. When tested on wheat, the recently emerged groups exhibited greater pathogenicity on modern elite cultivars consistent with the low-amplitude boom-and-bust cycle observed previously. It is possible that active copies of Molly transpose and contribute to both the birth and death of the transient groups. This study identified and characterised a fungal specific transposable element (TE) which plays a vital role in shaping Australian P. nodorum population structure and creating extensive genetic diversity which potentially leads to the pathogens better adaptation. The study suggests practical measures to improve the efficiency and longevity of resistance breeding for SNB.
- organism: fungi (other)
- assay: DNA methylation
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- research focus: variant calling
- research focus: database / resource
- approach: statistical model
- Citations
- 0
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