Characteristics and drivers of plant virus community spatial patterns in US west coast grasslands

Amy E. Kendig, Elizabeth T. Borer, Charles E. Mitchell, Alison G. Power, Eric W. Seabloom

Research output: Contribution to journalArticle

Abstract

The spatial distribution of disease risk caused by multi-pathogen infections is not frequently characterized, limiting understanding of the drivers of infection and thwarting prediction of future risk in a changing environment. Further complicating this predictive understanding is that interactions among multiple pathogens within a host commonly alter transmission success, infection risk, and disease dynamics. By characterizing spatial patterns of Barley and Cereal Yellow Dwarf Virus (B/CYDV) infections that range from the scale of an individual plant to thousands of neighboring plants, we examined the contributions of spatial processes to the distribution of disease risk. In a two-year field experiment, we planted grass hosts of B/CYDVs into fertilized plots of US west coast grasslands. We determined how vector-sharing, environmental conditions and spatial variation in host quality affected spatial patterns of single viruses, pairs of viruses and the whole virus community across out-planted grass hosts. We found that single viruses and virus communities were spatially random, indicating that infection does not solely spread through the community in a wave-like manner. On the other hand, we found that pairs of viruses, especially those that share a vector species, were aggregated spatially. This suggests that if within-host competition exists, it is not strong. Aggregation in one pair of viruses was more frequent due to environmental conditions and spatial variation in out-planted host quality, measured as vector preference. These results highlight the importance of insect vectors for predicting the spatial distribution of coinfection risk by B/CYDVs.

LanguageEnglish (US)
Pages1281-1290
Number of pages10
JournalOikos
Volume126
Issue number9
DOIs
StatePublished - Sep 1 2017

Fingerprint

plant viruses
virus
grasslands
grassland
coasts
viruses
coast
host quality
infection
spatial variation
Cereal yellow dwarf virus-RPV
spatial distribution
grasses
pathogen
Barley yellow dwarf virus
environmental conditions
grass
environmental factors
insect vectors
pathogens

Cite this

Characteristics and drivers of plant virus community spatial patterns in US west coast grasslands. / Kendig, Amy E.; Borer, Elizabeth T.; Mitchell, Charles E.; Power, Alison G.; Seabloom, Eric W.

In: Oikos, Vol. 126, No. 9, 01.09.2017, p. 1281-1290.

Research output: Contribution to journalArticle

Kendig, Amy E. ; Borer, Elizabeth T. ; Mitchell, Charles E. ; Power, Alison G. ; Seabloom, Eric W./ Characteristics and drivers of plant virus community spatial patterns in US west coast grasslands. In: Oikos. 2017 ; Vol. 126, No. 9. pp. 1281-1290
@article{706a5215d9c447dba03d3452fcbba299,
title = "Characteristics and drivers of plant virus community spatial patterns in US west coast grasslands",
abstract = "The spatial distribution of disease risk caused by multi-pathogen infections is not frequently characterized, limiting understanding of the drivers of infection and thwarting prediction of future risk in a changing environment. Further complicating this predictive understanding is that interactions among multiple pathogens within a host commonly alter transmission success, infection risk, and disease dynamics. By characterizing spatial patterns of Barley and Cereal Yellow Dwarf Virus (B/CYDV) infections that range from the scale of an individual plant to thousands of neighboring plants, we examined the contributions of spatial processes to the distribution of disease risk. In a two-year field experiment, we planted grass hosts of B/CYDVs into fertilized plots of US west coast grasslands. We determined how vector-sharing, environmental conditions and spatial variation in host quality affected spatial patterns of single viruses, pairs of viruses and the whole virus community across out-planted grass hosts. We found that single viruses and virus communities were spatially random, indicating that infection does not solely spread through the community in a wave-like manner. On the other hand, we found that pairs of viruses, especially those that share a vector species, were aggregated spatially. This suggests that if within-host competition exists, it is not strong. Aggregation in one pair of viruses was more frequent due to environmental conditions and spatial variation in out-planted host quality, measured as vector preference. These results highlight the importance of insect vectors for predicting the spatial distribution of coinfection risk by B/CYDVs.",
author = "Kendig, {Amy E.} and Borer, {Elizabeth T.} and Mitchell, {Charles E.} and Power, {Alison G.} and Seabloom, {Eric W.}",
year = "2017",
month = "9",
day = "1",
doi = "10.1111/oik.04178",
language = "English (US)",
volume = "126",
pages = "1281--1290",
journal = "Oikos",
issn = "0030-1299",
publisher = "Wiley-Blackwell",
number = "9",

}

TY - JOUR

T1 - Characteristics and drivers of plant virus community spatial patterns in US west coast grasslands

AU - Kendig,Amy E.

AU - Borer,Elizabeth T.

AU - Mitchell,Charles E.

AU - Power,Alison G.

AU - Seabloom,Eric W.

PY - 2017/9/1

Y1 - 2017/9/1

N2 - The spatial distribution of disease risk caused by multi-pathogen infections is not frequently characterized, limiting understanding of the drivers of infection and thwarting prediction of future risk in a changing environment. Further complicating this predictive understanding is that interactions among multiple pathogens within a host commonly alter transmission success, infection risk, and disease dynamics. By characterizing spatial patterns of Barley and Cereal Yellow Dwarf Virus (B/CYDV) infections that range from the scale of an individual plant to thousands of neighboring plants, we examined the contributions of spatial processes to the distribution of disease risk. In a two-year field experiment, we planted grass hosts of B/CYDVs into fertilized plots of US west coast grasslands. We determined how vector-sharing, environmental conditions and spatial variation in host quality affected spatial patterns of single viruses, pairs of viruses and the whole virus community across out-planted grass hosts. We found that single viruses and virus communities were spatially random, indicating that infection does not solely spread through the community in a wave-like manner. On the other hand, we found that pairs of viruses, especially those that share a vector species, were aggregated spatially. This suggests that if within-host competition exists, it is not strong. Aggregation in one pair of viruses was more frequent due to environmental conditions and spatial variation in out-planted host quality, measured as vector preference. These results highlight the importance of insect vectors for predicting the spatial distribution of coinfection risk by B/CYDVs.

AB - The spatial distribution of disease risk caused by multi-pathogen infections is not frequently characterized, limiting understanding of the drivers of infection and thwarting prediction of future risk in a changing environment. Further complicating this predictive understanding is that interactions among multiple pathogens within a host commonly alter transmission success, infection risk, and disease dynamics. By characterizing spatial patterns of Barley and Cereal Yellow Dwarf Virus (B/CYDV) infections that range from the scale of an individual plant to thousands of neighboring plants, we examined the contributions of spatial processes to the distribution of disease risk. In a two-year field experiment, we planted grass hosts of B/CYDVs into fertilized plots of US west coast grasslands. We determined how vector-sharing, environmental conditions and spatial variation in host quality affected spatial patterns of single viruses, pairs of viruses and the whole virus community across out-planted grass hosts. We found that single viruses and virus communities were spatially random, indicating that infection does not solely spread through the community in a wave-like manner. On the other hand, we found that pairs of viruses, especially those that share a vector species, were aggregated spatially. This suggests that if within-host competition exists, it is not strong. Aggregation in one pair of viruses was more frequent due to environmental conditions and spatial variation in out-planted host quality, measured as vector preference. These results highlight the importance of insect vectors for predicting the spatial distribution of coinfection risk by B/CYDVs.

UR - http://www.scopus.com/inward/record.url?scp=85017618904&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85017618904&partnerID=8YFLogxK

U2 - 10.1111/oik.04178

DO - 10.1111/oik.04178

M3 - Article

VL - 126

SP - 1281

EP - 1290

JO - Oikos

T2 - Oikos

JF - Oikos

SN - 0030-1299

IS - 9

ER -