Evidence map›Paper›PMID 38072925›Full record

ArticlePlant methods2023

Seed protein biotyping in Amaranthus species: a tool for rapid identification of weedy amaranths of concern.

Maxime Murphy, Julia Hubert, Ruojing Wang, Leonardo Galindo-González

Abstract read
In one paragraph

Article in Plant methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

4 authors.

Maxime MurphyOttawa Plant Laboratory, Canadian Food Inspection Agency, 3851 Fallowfield Road, Ottawa, ON, K2J 4S1, Canada.
Julia HubertOttawa Plant Laboratory, Canadian Food Inspection Agency, 3851 Fallowfield Road, Ottawa, ON, K2J 4S1, Canada.
Ruojing WangSaskatoon Laboratory, Canadian Food Inspection Agency, 421 Downey Road, Saskatoon, SK, S7N 4L8, Canada.
Leonardo Galindo-GonzálezOttawa Plant Laboratory, Canadian Food Inspection Agency, 3851 Fallowfield Road, Ottawa, ON, K2J 4S1, Canada. Leonardo.GalindoGonzalez@inspection.gc.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Amaranthus genus contains at least 20 weedy and invasive species, including Amaranthus palmeri (palmer's amaranth) and Amaranthus tuberculatus (tall waterhemp), two species of regulatory concern in North America, impacting production and yield in crops like corn, soybean and cotton. Amaranthus tuberculatus is regulated in Canada with limited establishment, while current climate models predict a range expansion of A. palmeri impacting crop growing areas in Ontario, Quebec and Manitoba. Since many Amaranthus species are similar in their morphology, especially at the seed stage, this demands the development of additional methods that can efficiently aid in the detection and identification of these species. Protein biotyping using Matrix-Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDI-TOF-MS) has been traditionally used to identify microorganism species, races and pathotypes. Major protein fractions extracted from an organism, ionized and run through a biotyper using mass spectrometry, result in protein spectra that represent a fingerprint at the species or lower taxonomic rank, providing an efficient molecular diagnostics method. Here we use a modified protein biotyping protocol to extract major protein fractions from seeds of the family Brassicaceae to test our protocol, and then implemented the standardized approach in seeds from Amaranthus species. We then created a database of Amaranthus protein spectra that can be used to test blind samples for a quick identification of species of concern.

resultsWe generated a protein spectra database with 16 Amaranthus species and several accessions per species, spanning target species of regulatory concern and species which are phylogenetically related or easily confused at the seed stage due to phenotypic plasticity. Testing of two Amaranthus blind sample seed sets against this database showed accuracies of 100% and 87%, respectively.

conclusionsOur method is highly efficient in identifying Amaranthus species of regulatory concern. The mismatches between our protein biotyping approach and phenotypic identification of seeds are due to absence of the species in the database or close phylogenetic relationship between the species. While A. palmeri cannot be distinguished from A. watsonii, there is evidence these two species have the same native range and are closely related.

Indexed as

AmaranthusAmaranthus palmeriAmaranthus tuberculatusMALDIProtein biotypingSeed identification

Identifiers

PMID38072925
PMCPMC10712156

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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.