scholarly journals Plant responses to multiple antagonists are mediated by order of attack and phytohormone crosstalk

2021 ◽  
Author(s):  
Saumik Basu ◽  
Robert E. Clark ◽  
Sayanta Bera ◽  
Clare L. Casteel ◽  
David W. Crowder
Keyword(s):  
Amino Acids ◽  
Pisum Sativum ◽  
Plant Defense ◽  
Mosaic Virus ◽  
Plant Defenses ◽  
Plant Responses ◽  
Herbivore Defense ◽  
Diverse Communities ◽  
Pea Enation Mosaic Virus ◽  
Plant Amino Acids

AbstractPlants are often attacked by multiple antagonists, and traits of the attacking organisms, and their order of arrival onto hosts, may affect plant defenses. However, few studies have assessed how multiple antagonists, and varying attack order, affect plant defense or nutrition. To address this, we assessed defensive and nutritional responses of Pisum sativum plants after attack by a vector herbivore (Acrythosiphon pisum), a non-vector herbivore (Sitona lineatus), and a pathogen (Pea enation mosaic virus, PEMV). We show PEMV-infectious A. pisum induced several pathogen-specific plant defense signals, but these defenses were inhibited when S. lineatus was present in peas infected with PEMV. In contrast, feeding by S. lineatus induced anti-herbivore defense signals, but these defenses were enhanced by PEMV. Sitona lineatus also increased abundance of plant amino acids, but only when they attacked after PEMV-infectious A. pisum. Our results suggest that diverse communities of biotic antagonists alter defense and nutritional traits of plants through complex pathways that depend on the identity of attackers and their order of arrival onto hosts. Moreover, we show interactions among a group of biotic stressors can vary along a spectrum from antagonism to enhancement/synergism based on the identity and order of attackers, and these interactions are mediated by a multitude of phytohormone pathways.

scholarly journals Plant responses to multiple antagonists are mediated by order of attack and phytohormone crosstalk

2021 ◽  
Author(s):  
Saumik Basu ◽  
Robert Clark ◽  
Sayanta Bera ◽  
Clare Cateel ◽  
David Crowder
Keyword(s):  
Amino Acids ◽  
Pisum Sativum ◽  
Plant Defense ◽  
Mosaic Virus ◽  
Plant Defenses ◽  
Plant Responses ◽  
Herbivore Defense ◽  
Diverse Communities ◽  
Pea Enation Mosaic Virus ◽  
Plant Amino Acids

Plants are often attacked by multiple antagonists, and traits of the attacking organisms, and their order of arrival onto hosts, may affect plant defenses. However, few studies have assessed how multiple antagonists, and varying attack order, affect plant defense or nutrition. To address this, we assessed defensive and nutritional responses of Pisum sativum plants after attack by a vector herbivore (Acrythosiphon pisum), a non-vector herbivore (Sitona lineatus), and a pathogen (Pea enation mosaic virus, PEMV). We show PEMV-infectious A. pisum induced several pathogen-specific plant defense signals, but these defenses were inhibited when S. lineatus was present in peas infected with PEMV. In contrast, feeding by S. lineatus induced anti-herbivore defense signals, but these defenses were enhanced by PEMV. Sitonalineatus also increased abundance of plant amino acids, but only when they attacked after PEMV-infectious A. pisum. Our results suggest that diverse communities of biotic antagonists alter defense and nutritional traits of plants through complex pathways that depend on the identity of attackers and their order of arrival onto hosts. Moreover, we show interactions among a group of biotic stressors can vary along a spectrum from antagonism to enhancement/synergism based on the identity and order of attackers, and these interactions are mediated by a multitude of phytohormone pathways.

scholarly journals Mutations in Pea seedborne mosaic virus Genome-Linked Protein VPg Alter Pathotype-Specific Virulence in Pisum sativum

2001 ◽  
Vol 14 (6) ◽  
pp. 707-714 ◽  
Author(s):  
Britta Borgstrøm ◽  
I. Elisabeth Johansen
Keyword(s):  
Amino Acids ◽  
Pisum Sativum ◽  
Mosaic Virus ◽  
Viral Genome ◽  
Mutational Analysis ◽  
Plant Introduction ◽  
Virus Genome ◽  
Coding Region ◽  
Resistance Response ◽  
Specific Virulence

Pisum sativum plant introduction (PI) line 269818 is resistant to potyvirus pea seedborne mosaic virus (PSbMV) isolates, categorized as pathotype P1, and is susceptible to pathotype P4 isolates. This difference in infectivity is determined by the viral genome-linked protein (VPg) cistron. Mutational analysis of VPg of PSbMV isolates DPD1 and NY representing pathotypes P1 and P4 revealed that codon changes affecting amino acids 105 to 117 in the central region of VPg influenced virulence on PI 269818. In contrast, infectivity on pea cultivar Dark Skinned Perfection, which is susceptible to both pathotypes, was not affected by the mutations. Mutants overcoming resistance in PI 269818 were analyzed for changes in the VPg coding region upon passage through PI 269818 and Dark Skinned Perfection. Adaptive changes were observed only upon passage through PI 269818 and only at codons from amino acid 105 to 117. Expression of DPD1 VPg in PI 269818 did not affect infection by NY, which suggests that VPg from DPD1 is not an elicitor of a general resistance response. The results are compatible with the hypothesis that viral amplification depends upon the interaction between VPg and a host factor.

Quantification of Pea enation mosaic virus 1 and 2 during infection of Pisum sativum by one step real-time RT-PCR

2017 ◽  
Vol 240 ◽  
pp. 63-68 ◽  
Author(s):  
Juliette Doumayrou ◽  
Melissa Sheber ◽  
Bryony C. Bonning ◽  
W. Allen Miller
Keyword(s):  
Pisum Sativum ◽  
Mosaic Virus ◽  
Real Time ◽  
Rt Pcr ◽  
One Step ◽  
Pea Enation Mosaic Virus

scholarly journals First report of pea enation mosaic virus 1 infecting Lathyrus ochrus (L.) DC and L. cicera L. in Greece

2021 ◽  
Author(s):  
Kyriaki Sareli ◽  
Konstantinos Gaitanis ◽  
Ioannis T. Tsialtas ◽  
Stephan Winter ◽  
Elisavet K. Chatzivassiliou
Keyword(s):  
Mosaic Virus ◽  
First Report ◽  
Pea Enation Mosaic Virus

scholarly journals Genomic prediction models trained with historical records enable populating the German ex situ genebank bio-digital resource center of barley (Hordeum sp.) with information on resistances to soilborne barley mosaic viruses

2021 ◽  
Author(s):  
Maria Y. Gonzalez ◽  
Yusheng Zhao ◽  
Yong Jiang ◽  
Nils Stein ◽  
Antje Habekuss ◽  
...  
Keyword(s):  
Genetic Resources ◽  
Mosaic Virus ◽  
Genomic Prediction ◽  
Prediction Models ◽  
Ex Situ ◽  
Yellow Mosaic Virus ◽  
Plant Responses ◽  
Resource Center ◽  
Digital Resource ◽  
Best Linear Unbiased

AbstractKey messageGenomic prediction with special weight of major genes is a valuable tool to populate bio-digital resource centers.AbstractPhenotypic information of crop genetic resources is a prerequisite for an informed selection that aims to broaden the genetic base of the elite breeding pools. We investigated the potential of genomic prediction based on historical screening data of plant responses against theBarley yellow mosaic virusesfor populating the bio-digital resource center of barley. Our study includes dense marker data for 3838 accessions of winter barley, and historical screening data of 1751 accessions forBarley yellow mosaic virus(BaYMV) and of 1771 accessions forBarley mild mosaic virus(BaMMV). Linear mixed models were fitted by considering combinations for the effects of genotypes, years, and locations. The best linear unbiased estimations displayed a broad spectrum of plant responses against BaYMV and BaMMV. Prediction abilities, computed as correlations between predictions and observed phenotypes of accessions, were low for the marker-assisted selection approach amounting to 0.42. In contrast, prediction abilities of genomic best linear unbiased predictions were high, with values of 0.62 for BaYMV and 0.64 for BaMMV. Prediction abilities of genomic prediction were improved by up to ~ 5% using W-BLUP, in which more weight is given to markers with significant major effects found by association mapping. Our results outline the utility of historical screening data and W-BLUP model to predict the performance of the non-phenotyped individuals in genebank collections. The presented strategy can be considered as part of the different approaches used in genebank genomics to valorize genetic resources for their usage in disease resistance breeding and research.

scholarly journals LysM Receptor-Like Kinase LYK9 of Pisum Sativum L. May Regulate Plant Responses to Chitooligosaccharides Differing in Structure

2021 ◽  
Vol 22 (2) ◽  
pp. 711
Author(s):  
Irina V. Leppyanen ◽  
Olga A. Pavlova ◽  
Maria A. Vashurina ◽  
Andrey D. Bovin ◽  
Alexandra V. Dolgikh ◽  
...  
Keyword(s):  
Immune Response ◽  
Pisum Sativum ◽  
Binding Capacity ◽  
Arbuscular Mycorrhizal ◽  
Am Fungi ◽  
Phytopathogenic Fungi ◽  
Plant Responses ◽  
Pisum Sativum L ◽  
Receptor Like Kinase ◽  
Pea Mutants

This study focused on the interactions of pea (Pisum sativum L.) plants with phytopathogenic and beneficial fungi. Here, we examined whether the lysin-motif (LysM) receptor-like kinase PsLYK9 is directly involved in the perception of long- and short-chain chitooligosaccharides (COs) released after hydrolysis of the cell walls of phytopathogenic fungi and identified in arbuscular mycorrhizal (AM) fungal exudates. The identification and analysis of pea mutants impaired in the lyk9 gene confirmed the involvement of PsLYK9 in symbiosis development with AM fungi. Additionally, PsLYK9 regulated the immune response and resistance to phytopathogenic fungi, suggesting its bifunctional role. The existence of co-receptors may provide explanations for the potential dual role of PsLYK9 in the regulation of interactions with pathogenic and AM fungi. Co-immunoprecipitation assay revealed that PsLYK9 and two proposed co-receptors, PsLYR4 and PsLYR3, can form complexes. Analysis of binding capacity showed that PsLYK9 and PsLYR4, synthesized as extracellular domains in insect cells, were able to bind the deacetylated (DA) oligomers CO5-DA–CO8-DA. Our results suggest that the receptor complex consisting of PsLYK9 and PsLYR4 can trigger a signal pathway that stimulates the immune response in peas. However, PsLYR3 seems not to be involved in the perception of CO4-5, as a possible co-receptor of PsLYK9.

Sign in / Sign up

Export Citation Format

Share Document