Literature DB >> 32943568

Draft Genome Sequences of 20 Aspergillus flavus Isolates from Corn Kernels and Cornfield Soils in Louisiana.

Solomon T Gebru1, Mark K Mammel2, Jayanthi Gangiredla2, Carmen Tartera2, Jeffrey W Cary3, Geromy G Moore3, Rebecca R Sweany4.   

Abstract

Aspergillus flavus is a common saprophyte and opportunistic fungal pathogen that infects plants, animals, and humans. It also produces numerous toxic and nontoxic secondary metabolites. Here, we report the draft genome sequences of 20 A. flavus isolates, belonging to 16 vegetative compatibility groups, from Louisiana corn kernels and cornfield soils.

Entities:  

Year:  2020        PMID: 32943568      PMCID: PMC7498434          DOI: 10.1128/MRA.00826-20

Source DB:  PubMed          Journal:  Microbiol Resour Announc        ISSN: 2576-098X


ANNOUNCEMENT

Aspergillus flavus is an opportunistic pathogen that infects plants, animals, and humans and produces aflatoxin, a natural carcinogen (1–4). Aflatoxin consumed in grains or milk is acutely toxic, stunts children’s growth, and induces liver cancer (1, 5–8). Aspergillus flavus has the potential to produce several toxic secondary metabolites beyond aflatoxins B1 and B2, including cyclopiazonic acid, kojic acid, β-nitropropionic acid, aspertoxin, aflatrem, and aspergillic acid (1–4). The fungus may also cause allergic reactions in humans and aspergillosis diseases, notably in immunocompromised people’s lungs (5–8). Under favorable hot and dry field conditions, A. flavus can cause corn ear rot, which is frequently associated with aflatoxin contamination inside diseased corn kernels (9–12). Aflatoxin contamination in corn threatens consumer food safety and grower economic stability, causing an estimated $52 million to over $1 billion of economic loss per year in the United States (12). In Louisiana, a severe corn aflatoxin outbreak in 1998 resulted in almost total crop loss, and periodic aflatoxin outbreaks still occur (https://www.farmprogress.com/aflatoxin-levels-low-louisiana-corn). Aspergillus flavus populations are very diverse and may consist of many different vegetative compatibility groups (VCGs) (2, 3, 9, 13–15). Members within a VCG share identical het locus alleles and belong to quasiclonal lineages exhibiting similar quantities of aflatoxin production (some VCGs do not produce any aflatoxins), sclerotial sizes, and mating types (2, 3, 9, 13, 15). Aspergillus flavus was isolated on differential/selective medium from 50 soil samples (255 isolates) and 25 surface-sterilized corn kernels (612 isolates) from 85 individual ears collected at maturity from 11 cornfields in Louisiana (15). The isolates belonged to at least 16 VCGs (15). A selection of 20 isolates encompassing all 16 VCGs were deposited in the USDA-SRRC’s culture collection. To prepare for sequencing, 75-ml potato dextrose broth conidial cultures were shaken overnight at 125 rpm and 30°C. Mycelial pellets were collected, flash frozen with liquid nitrogen, and freeze-dried, and DNA was extracted with a Quick-DNA fungal/bacterial DNA miniprep kit (Zymo Research, Irvine, CA). Genomic DNA (gDNA) quality and purity were assessed using a NanoDrop spectrophotometer (Thermo Scientific, Wilmington, DE), and quality control was performed using a Qubit 2.0 fluorometer (Life Technologies, Burlington, Canada). Sequencing libraries for each gDNA extract were prepared using a Nextera XT DNA sample prep kit (Illumina, San Diego, CA) in 2 × 150-bp paired-end format and pooled in a single NextSeq 500/550 midoutput kit v2 (n = 8) for sequencing with an Illumina NextSeq sequencer. Low-quality reads were trimmed to a quality threshold of Q > 30 using Trimmomatic (16) with a NexteraPE adapter file. Trimmed reads were subjected to de novo assembly using the SPAdes assembler v3.12.0 (17), and assembly quality assessment utilized QUAST (18). Default settings were used for all software programs unless otherwise noted.

Data availability.

Genome sequences of these 20 Aspergillus flavus isolates were deposited in DDBJ/ENA/GenBank under BioProject number PRJNA482816. The genome sequencing and assembly statistics (contig number, read number, genome size, N50 value, G+C content, and SRA and whole-genome sequence [WGS] accession numbers) for each isolate are shown in Table 1. This announcement reports the first versions of these genome sequences.
TABLE 1

Aspergillus flavus strains, aflatoxin production, and genomic statistics data

Genome identifierStrain/VCGAflatoxigenicityAflatoxin B1 production (ppb) ± SEb No. of contigsNo. of readsGenome size (bp)N50 (bp)Coverage (×)% G+CSRA accession no.GenBank accession no.
MOD1-573RRS4Aflatoxigenic11,900 ± 83667034,952,64037,023,989132,4644248.3SRR11596619JABVYR000000000
MOD1-575RRS7Aflatoxigenic20 ± 662431,401,16436,757,764142,6333948.3SRR11596618JABVYS000000000
MOD1-576RRS5Aflatoxigenic24,006 ± 3,91868834,833,60837,068,150126,3894248.2SRR11596607JABVYT000000000
MOD1-578RRS9Aflatoxigenic3,872 ± 1,02665240,610,74237,193,948152,9254848.3SRR11596606JABVYU000000000
MOD1-580RRS1Aflatoxigenic< 068335,257,44236,938,434121,9854248.3SRR11596605JABVYV000000000
MOD1-581RRS10Nonaflatoxigenic0 ± 072339,417,90736,954,782112,9333948.3SRR11596604JABVYW000000000
MOD1-584RRS11Aflatoxigenic1,714 ± 12059529,738,15236,865,287144,2904148.3SRR11596603JABVYX000000000
MOD1-586RRS3Aflatoxigenic16,162 ± 15075635,670,90837,089,482143,6434248.3SRR11596602JABVYY000000000
MOD1-587RRS12Aflatoxigenic42,548 ± 9,68670130,328,26036,985,390136,3414048.3SRR11596601JABVYZ000000000
MOD1-590RRS2Aflatoxigenic14,032 ± 4,85863532,785,96236,946,864138,7514548.3SRR11596600JABVZA000000000
MOD1-591RRS13Nonaflatoxigenic0 ± 062635,283,32836,626,824141,5484948.3SRR11596617JABVZB000000000
MOD1-595RRS14Nonaflatoxigenic0 ± 062332,152,85236,915,067152,8514548.2SRR11596616JABVZC000000000
MOD1-599RRS8Aflatoxigenic27,998 ± 9,26072338,755,06237,006,081152,7454248.2SRR11596615JABVZD000000000
MOD1-601RRS5Aflatoxigenic19,114 ± 33286740,051,40037,973,590170,9455748.2SRR11596614JABVZE000000000
MOD1-605RRS6Nonaflatoxigenic0 ± 062736,745,07836,775,823155,7685248.2SRR11596613JABVZF000000000
MOD1-607RRS15Aflatoxigenic3,968 ± 4321,16721,467,71238,231,28385,7703048.2SRR11596612JABVZG000000000
MOD1-618RRSSOLOa Aflatoxigenic12,460 ± 2,65054636,203,96836,963,370169,1075148.3SRR11596611JABVZH000000000
MOD1-619RRS1Aflatoxigenic3590839,434,86636,935,936129,35711048.3SRR11596610JABVZI000000000
MOD1-620RRS1Aflatoxigenic31,22642,922,30237,016,679143,58910848.2SRR11596609JABVZJ000000000
MOD1-621RRS1Aflatoxigenic31,66037,110,99636,895,533138,34310548.3SRR11596608JABVZK000000000

RRSSOLO refers to an isolate that did not complement any others and therefore was in a singleton VCG.

Aflatoxin B1 (AFB1) was quantified with ultraperformance liquid chromatography from each of three independent 4-day-old cultures grown in glucose-salts medium. AFB2 was detected in lower quantities for each extract with AFB1. MOD1-619, MOD1-620, and MOD1-621 were previously quantified from single cultures grown on rice (15).

Aspergillus flavus strains, aflatoxin production, and genomic statistics data RRSSOLO refers to an isolate that did not complement any others and therefore was in a singleton VCG. Aflatoxin B1 (AFB1) was quantified with ultraperformance liquid chromatography from each of three independent 4-day-old cultures grown in glucose-salts medium. AFB2 was detected in lower quantities for each extract with AFB1. MOD1-619, MOD1-620, and MOD1-621 were previously quantified from single cultures grown on rice (15).
  15 in total

1.  SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

Authors:  Anton Bankevich; Sergey Nurk; Dmitry Antipov; Alexey A Gurevich; Mikhail Dvorkin; Alexander S Kulikov; Valery M Lesin; Sergey I Nikolenko; Son Pham; Andrey D Prjibelski; Alexey V Pyshkin; Alexander V Sirotkin; Nikolay Vyahhi; Glenn Tesler; Max A Alekseyev; Pavel A Pevzner
Journal:  J Comput Biol       Date:  2012-04-16       Impact factor: 1.479

2.  Correlation and classification of single kernel fluorescence hyperspectral data with aflatoxin concentration in corn kernels inoculated with Aspergillus flavus spores.

Authors:  H Yao; Z Hruska; R Kincaid; R Brown; T Cleveland; D Bhatnagar
Journal:  Food Addit Contam Part A Chem Anal Control Expo Risk Assess       Date:  2010-05

3.  Comparison of soil and corn kernel Aspergillus flavus populations: evidence for niche specialization.

Authors:  Rebecca Ruth Sweany; Kenneth Eugene Damann; Michael Douglas Kaller
Journal:  Phytopathology       Date:  2011-08       Impact factor: 4.025

Review 4.  Aflatoxin in maize: a review of the early literature from "moldy-corn toxicosis" to the genetics of aflatoxin accumulation resistance.

Authors:  J Spencer Smith; W Paul Williams; Gary L Windham
Journal:  Mycotoxin Res       Date:  2019-02-07       Impact factor: 3.833

Review 5.  Aspergillus flavus genomics: gateway to human and animal health, food safety, and crop resistance to diseases.

Authors:  Jiujiang Yu; Thomas E Cleveland; William C Nierman; Joan W Bennett
Journal:  Rev Iberoam Micol       Date:  2005-12       Impact factor: 1.044

6.  Comparison of Aspergillus ear rot and aflatoxin contamination in grain of high-oil and normal-oil corn hybrids.

Authors:  Dina E Severns; Michael J Clements; Robert J Lambert; Donald G White
Journal:  J Food Prot       Date:  2003-04       Impact factor: 2.077

7.  Potential economic losses to the US corn industry from aflatoxin contamination.

Authors:  Nicole J Mitchell; Erin Bowers; Charles Hurburgh; Felicia Wu
Journal:  Food Addit Contam Part A Chem Anal Control Expo Risk Assess       Date:  2016-02-15

Review 8.  Aspergillus flavus: human pathogen, allergen and mycotoxin producer.

Authors:  M T Hedayati; A C Pasqualotto; P A Warn; P Bowyer; D W Denning
Journal:  Microbiology (Reading)       Date:  2007-06       Impact factor: 2.777

9.  Two new aflatoxin producing species, and an overview of Aspergillus section Flavi.

Authors:  J Varga; J C Frisvad; R A Samson
Journal:  Stud Mycol       Date:  2011-06-30       Impact factor: 16.097

10.  Trimmomatic: a flexible trimmer for Illumina sequence data.

Authors:  Anthony M Bolger; Marc Lohse; Bjoern Usadel
Journal:  Bioinformatics       Date:  2014-04-01       Impact factor: 6.937

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