Evidence map›Paper›PMID 34702162›Full record

ArticleBMC genomics2021

Genome-wide analysis of Claviceps paspali: insights into the secretome of the main species causing ergot disease in Paspalum spp.

H Oberti, G Spangenberg, N Cogan, R Reyno, M Feijoo, S Murchio, M Dalla-Rizza

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

H ObertiInstituto Nacional de Investigación Agropecuaria (INIA). Unidad de Biotecnología. Estación Experimental INIA Las Brujas, Ruta 48 km, 10, Canelones, Uruguay.
G SpangenbergAgriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Bundoora, VIC, 3083, Australia.
N CoganAgriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Bundoora, VIC, 3083, Australia.
R ReynoInstituto Nacional de Investigación Agropecuaria (INIA). Programa Pasturas y Forrajes. Estación Experimental INIA Tacuarembó, Ruta 5 km, 386, Tacuarembó, Uruguay.
M FeijooCentro Universitario Regional del Este (CURE), Polo de Desarrollo Universitario: Patogenicidad, toxicidad y genética en los ecosistemas pastoriles de la región Este de Uruguay, Ruta 8 km, 281, Treinta y Tres, Uruguay.
S MurchioInstituto Nacional de Investigación Agropecuaria (INIA). Unidad de Biotecnología. Estación Experimental INIA Las Brujas, Ruta 48 km, 10, Canelones, Uruguay.
M Dalla-RizzaInstituto Nacional de Investigación Agropecuaria (INIA). Unidad de Biotecnología. Estación Experimental INIA Las Brujas, Ruta 48 km, 10, Canelones, Uruguay. mdallarizza@inia.org.uy.ORCID http://orcid.org/0000-0003-4065-0940
Instituto Nacional de Investigación Agropecuaria · UYLa Trobe University · AU

Funding

Instituto Nacional de Investigacion Agropecuaria, Uruguay BT-19Instituto Nacional de Investigacion Agropecuaria, Uruguay Postgraduate ScholarshipInter-American Development Bank ATN/KF-13883-UR
6 · The paper itself

Abstract

backgroundThe phytopatogen Claviceps paspali is the causal agent of Ergot disease in Paspalum spp., which includes highly productive forage grasses such as P. dilatatum. This disease impacts dairy and beef production by affecting seed quality and producing mycotoxins that can affect performance in feeding animals. The molecular basis of pathogenicity of C. paspali remains unknown, which makes it more difficult to find solutions for this problem. Secreted proteins are related to fungi virulence and can manipulate plant immunity acting on different subcellular localizations. Therefore, identifying and characterizing secreted proteins in phytopathogenic fungi will provide a better understanding of how they overcome host defense and cause disease. The aim of this work is to analyze the whole genome sequences of three C. paspali isolates to obtain a comparative genome characterization based on possible secreted proteins and pathogenicity factors present in their genome. In planta RNA-seq analysis at an early stage of the interaction of C. paspali with P. dilatatum stigmas was also conducted in order to determine possible secreted proteins expressed in the infection process.

resultsC. paspali isolates had compact genomes and secretome which accounted for 4.6-4.9% of the predicted proteomes. More than 50% of the predicted secretome had no homology to known proteins. RNA-Seq revealed that three protein-coding genes predicted as secreted have mayor expression changes during 1 dpi vs 4 dpi. Also, three of the first 10 highly expressed genes in both time points were predicted as effector-like. CAZyme-like proteins were found in the predicted secretome and the most abundant family could be associated to pectine degradation. Based on this, pectine could be a main component affected by the cell wall degrading enzymes of C. paspali.

conclusionsBased on predictions from DNA sequence and RNA-seq, unique probable secreted proteins and probable pathogenicity factors were identified in C. paspali isolates. This information opens new avenues in the study of the biology of this fungus and how it modulates the interaction with its host. Knowledge of the diversity of the secretome and putative pathogenicity genes should facilitate future research in disease management of Claviceps spp.

Indexed as

ClavicepsMycotoxinsPaspalumAnimalsCattleVirulenceMycotoxinsBiotrophComparative genomicsEffectorsIn silico predictionPathogenicity factors

Identifiers

PMID34702162
PMCPMC8549174
OpenAlexW3210757683

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.