| Literature DB >> 35622554 |
Saba Shabeer1, Shahzad Asad1, Atif Jamal1, Akhtar Ali2.
Abstract
Aflatoxin, a type of mycotoxin, is mostly produced by Aspergillus flavus and Aspergillus parasiticus. It is responsible for the loss of billions of dollars to the world economy, by contaminating different crops such as cotton, groundnut, maize, and chilies, and causing immense effects on the health of humans and animals. More than eighteen different types of aflatoxins have been reported to date, and among them, aflatoxins B1, B2, G1, and G2 are the most prevalent and lethal. Early detection of fungal infection plays a key role in the control of aflatoxin contamination. Therefore, different methods, including culture, chromatographic techniques, and molecular assays, are used to determine aflatoxin contamination in crops and food products. Many countries have set a maximum limit of aflatoxin contamination (2-20 ppb) in their food and agriculture commodities for human or animal consumption, and the use of different methods to combat this menace is essential. Fungal infection mostly takes place during the pre- and post-harvest stage of crops, and most of the methods to control aflatoxin are employed for the latter phase. Studies have shown that if correct measures are adopted during the crop development phase, aflatoxin contamination can be reduced by a significant level. Currently, the use of bio-pesticides is the intervention employed in many countries, whereby atoxigenic strains competitively reduce the burden of toxigenic strains in the field, thereby helping to mitigate this problem. This updated review on aflatoxins sheds light on the sources of contamination, and the on occurrence, impact, detection techniques, and management strategies, with a special emphasis on bio-pesticides to control aflatoxins.Entities:
Keywords: Aspergillus; aflatoxins; control measures; detection
Mesh:
Substances:
Year: 2022 PMID: 35622554 PMCID: PMC9147583 DOI: 10.3390/toxins14050307
Source DB: PubMed Journal: Toxins (Basel) ISSN: 2072-6651 Impact factor: 5.075
Types of aflatoxin, producing fungal species, and commodities affected by aflatoxin (adapted from Ref. [11]).
| Aflatoxin | Aflatoxin Producing | Host/Affected Entity |
|---|---|---|
| B (B1, B2) | Cottonseed, | |
| B2a | Hydroxylated metabolite of aflatoxin B1 | - |
| B3 (Parasiticol) | Aflatoxin G1 metabolite, naturally produced by: | Same as aflatoxin B1 and G1 |
| G (G1, G2) | Cottonseed, | |
| G2a | Hydroxylated metabolite of | - |
| M (M1, M2) | Hydroxylated metabolite of aflatoxin B1 and B2, respectively | Dairy products, |
| M2a | Aflatoxin M1 derivative | Dairy products, |
| GM1 | Hydroxylated metabolite of | Dairy products, |
| GM2 | Naturally produced by | Dairy products, |
| GM2a | Aflatoxin GM1 metabolite | Dairy products, |
| P1 | Metabolite ofaflatoxin B1 (demethylated) | Dairy products, |
| Q1 | Metabolite of aflatoxin B1 (hydroxylated) | Present in the meat of cattle that feeds on aflatoxin-contaminated food |
| Q2a | Acid hydration of aflatoxin Q1 | - |
| Aflatoxicol R0 | Metabolite of aflatoxin B1, also naturally produced by | Present in bird feed, also exists in birds that feed on aflatoxin-contaminated food |
| Aflatoxicol M1 | Aflatoxin B1, aflatoxin R0, or aflatoxin M1 metabolite | Dairy products, |
| Aflatoxicol H1 | Aflatoxin B1 and aflatoxin Q1 metabolite | Dairy products, |
| Aspertoxin | Crops and Plants |
Figure 1Cultures of Aspergillus flavus after exposure to ammonia vapors. (a) Cultures showing a highly toxigenic strain, based on their change in color to dark plum after exposure, (b–d) cultures showing moderately toxigenic stains based on their change in color to light reddish to pinkish color after exposure, (e,f) cultures showing atoxigenic strains with no change in color (Saba and Atif, unpublished data).
Primers sequence, their target genes, and the expected PCR product size.
| S. No | Primer | Amplified Gene | Sequence | Size (bp) | References |
|---|---|---|---|---|---|
| 1. | nor1 | 5′-ACCGCTACGCCGGCACTCTCGGCAC-3′ | 400 | [ | |
| nor2 | - | 5′-GTTGGCCGCCAGCTTCGACACTCCG-3′ | - | ||
| 2. | ver1 | 5′-GCCGCACGCGGAGAAAGTGGT-3′ | 537 | [ | |
| ver2 | - | 5′-GGGGATATACTCCCGCGACACAGCC-3′ | - | ||
| 3. | omt1 | 5′-GTGGACGGACCTAGTCCGACATCAC-3′ | 797 | [ | |
| omt2 | - | 5′-GTCGGCGCCACGCACTGGGTTGGGG-3′ | - | ||
| 4. | Omt 208 |
| 5′-GGCCCGGTTCCTTGGCTCCTAAGC-3′ | 1024 | [ |
| Omt-1232 | - | 5′-CGCCCCAGTGAGACCCTTCCTCG-3′ | - | ||
| 5. | VER-496 | 5′-ATGTCGGATAATCACCGTTTAGATGGC-3′ | 895 | [ | |
| VER-1391 | - | 5′-CGAAAAGCGCCACCATCCACCCCAATG-3′ | - | ||
| 6. | APA-450 | 5′-TATCTCCCCCCGGGCATCTCCCGG -3′ | 1032 | [ | |
| APA-1482 | - | 5′-CCGTCAGACAGCCACTGGACACGG-3′ | - | ||
| 7. | aflR660 |
| 5′-CGCGCTCCCAGTCCCCTTCATT-3′ | 630 | [ |
| aflR1249 | - | 5′-CTTGTTCCCCGAGATGACCA-3′ | - | ||
| 8. | ord1501 | 5′-TTAAGGCAGGGGAATACAAG -3′ | 610 | [ | |
| ord2226 | - | 5′-GACGCCCAAAGCCGAACACAAA-3′ | - | ||
| 9. | tub440-F |
| 5′-GGTAACCAAATAGGTGCCGCT -3′ | 1300 | [ |
| tub1740-R | - | 5′-TAGGTCTGGTTCTTGCTCTGGATG-3′ | - | ||
| 10. | nortaq-1 | 5′-GTCCAAGCAACAGGCCAAGT -3′ | 66 | [ | |
| nortaq-2 | - | 5′-TCGTGCATGTTGGTGATGGT-3′ | - | ||
| norprobe | - | 5′-TGTCTTGATCGGCGCCCG-3′ | - | ||
| 11. | aflR1-F |
| 5′-AACCGCATCCACAATCTCAT-3′ | 798 | [ |
| aflR1-R | - | 5′-AGTGCAGTTCGCTCAGAACA-3′ | - | ||
| 12. | Tub1-F | 5′-GTCCGGTGCTGGTAACAACT -3′ | 1498 | [ | |
| Tub1-R | - | 5′-GGAGGTGGAGTTTCCAATGA-3′ | - | ||
| 13. | Nor1-F |
| 5′-ACGGATCACTTAGCCAGCAC-3′ | 990 | [ |
| NoR1-R | - | 5′-CTACCAGGGGAGTTGAGATCC-3′ | - | ||
| 14. | OmtB(F)-F |
| 5′-GCCTTGACATGGAAACCATC-3′ | 1333 | [ |
| OmtB(F)-R | - | 5′-CCAAGATGGCCTGCTCTTTA-3′ | - | ||
| 15. | Ord-gF |
| 5′-TTAAGGCAGCGGAATACAAG-3′ | 719 | [ |
| Ord-gR | - | 5′-GACGCCCAAAGCCGAACACAAA-3′ | - | ||
| 16. | Omt1-F |
| 5′-GCCTTGCAAACACACTTTCA-3′ | 1490 | [ |
| Omt1R | - | 5′-AGTTGTTGAACGCCCCAGT-3′ | - | ||
| 17. | aflR-F1 |
| 5′-TGACCCACCTCTTCCCCCACG-3′ | 300 | [ |
| aflR-R | - | 5′-CCGTCAGACAGCCACTGGACACGG-3′ | - | ||
| 18. | aflj-F/AP-F |
| 5′-AGTCAAAGGTTGAATACC-3′ | 840 | [ |
| aflj-R/AP-R | - | 5′-GCTCAGCCATGACCTTGACTG-3′ | - | ||
| 19. | omtBII-F | 5′-ATGTGCTTGGGITGCTGTGG-3′ | 611 | [ | |
| omtBII-R | - | 5′-GGATGTGGTYATGCGATTGAG-3′ | - | ||
| 20. | AF138287 | 5′-CTCCCACCCGTGTTTACTGT-3′ | 199 | [ | |
| AF027863 | - | 5′-GCGTTCTTCATCGATGCCT-3′ | - | ||
| 21. | Asp1S |
| 5′-ATGCCTGTCCGAGCGT-3′ | - | [ |
| AflR2 | - | 5′-TTAAGTTCAGCGGGTATRCCb-3′ | - | ||
| 22. | AflP-F |
| 5′-CATGCTCCATCATGGTGACT-3′ | - | [ |
| AflP-R | - | 5′-CCGCCGCTTTGATCTAGG-3′ | - | ||
| 23. | FVAVIQ1 |
| 5′-GTCGTCCCCTCTCCGG-3′ | - | [ |
| FLAQ2 | - | 5′-CTGGAAAAAGATTGATTTGCG-3′ | - | ||
| PARQ2 | - | 5′-GAAAAAATGGTTGTTTTGCG-3′ | - | ||
| 24. | cmd424 |
| 5′-GGCCTTCTCCCTATTCGTAA-3′ | 613 | [ |
| cmd6374 |
| 5′-CTCGCGGATCATCTCATC-3′ | - | ||
| 25. | cmd2F3 |
| 5′-GGCTGGATGTGTGTAAATC-3′ | 811 | [ |
| cmd2R3 |
| 5′-ATTGGTCGCATTTGAAGGG-3′ | - | ||
| 26. | niaDF3 |
| 5′-CGGACGATAAGCAACAACAC-3′ | 795 | [ |
| niaDAR3 | - | 5′-GGATGAACACCCGTTAATCTGA-3′ | - | ||
| 27. | niaDBF3 |
| 5′-ACGGCCGACAGAAGTGCTGA-3′ | 794 | [ |
| niaDBR3 |
| 5′-TGGGCGAAGAGACTCCCCGT-3′ | - | ||
| 28. | niaDCF | Nitrate reductase | 5′-GCAGCCCAATGGTCACTACGGC-3′ | - | [ |
| niaDCR | Nitrate reductase | 5′-GGCTGCACGCCCAATGCTTC-3′ | - | ||
| 29. | AP17295 |
| 5′-GTGCCCAGCATCTTGGTCCACC-3′ | 1839(no deletion) | [ |
| AP35515 |
| 5′-AAGGACTTGATGATTCCTC-3′ | - | ||
| 30. | CP-5F6 |
| 5′-GGGACCCTTTTCCGGTGCGG-3′ | 3053(no deletion) | [ |
| CP-R6 |
| 5′-GGCGGCCCCTCAGCAAACAT-3′ | - | ||
| 31. | Taka-amylaseF8 |
| 5′-GGATCGATTTGCAAGGACGG-3′ | 1168 | [ |
| Taka-amylaseR8 | - | 5′-TAGAGGTCGTCCATGCTGCC-3′ | - |
Aflatoxin biopesticides (registered and unregistered) along with the countries where they are being tested or used.
| S. No | Product/Strain Name | Country | References |
|---|---|---|---|
| 1. | AF36 | U.S. | [ |
| 2. | Afla-Guard (strain NRRL21882) | U.S. | [ |
| 3. | CT3 (unregistered) | Southern U.S. | [ |
| 4. | K49 (unregistered) | Southern U.S. | [ |
| 5. | AF-X1 | Italy | [ |
| 6. | Aflasafe SN01 | Senegal and The Gambia | [ |
| 7. | Aflasafe GH01 | Ghana | [ |
| 8. | Aflasafe GH02 | Ghana | [ |
| 9. | Aflasafe | Nigeria | [ |
| 10. | Aflasafe KE01 | Kenya | [ |
| 11. | AR27 (unregistered) | Northern Argentina | [ |
| 12. | AR100G (unregistered) | Northern Argentina | [ |
| 13. | AFCHG2 (unregistered) | Northern Argentina | [ |
| 14. | FS10 (unregistered) | China | [ |
| 15. | AF051 (unregistered) | China | [ |
| 16. | BN30 (unregistered) | Africa | [ |
| 17. | Aflasafe BF01 | Burkina Faso | [ |
| 18. | Aflasafe TZ01 | Tanzania | [ |
| 19. | Aflasafe TZ02 | Tanzania | [ |
| 20. | Aflasafe ZM01 & ZM02 | Zambia | [ |
| 21. | Aflasafe MW01 & MWMZ01 | Malawi | [ |
| 22. | Aflasafe MZ01 & MWMZ01 | Mozambique | [ |
Figure 2Schematic diagram showing the principle of biocontrol pesticides. During normal environmental conditions, usually ratios of toxigenic spores are higher than the atoxigenic spores present in the field. After the application of bio-pesticide, the atoxigenic spores are increased and competitively exclude naturally occurring toxigenic strains.
Aflatoxin gene clusters, markers for amplification, and their sequence and PCR product size. Adapted from Ref. [114].
| S. no | Panel | Marker | Sequence | Size (bp) |
|---|---|---|---|---|
| 01. | Sugar Cluster | SC01 | 5′-ATACCTCATGATCTGGTGCACGG | 883 |
| 02. | IC01 | 5′-GTCCCCAGGTACGATAGGTCTCT | 742 | |
| 03. | AC01 | 5′-GACTGCCACCCTATCACTCTTCC | 613 | |
| 04. | AC02 | 5′-GCATTGCCAGCATCGGTTTCATA | 487 | |
| 05. | AC03 | 5′-CATGATGGAGCATGACATTCGGC | 387 | |
| 06. | AC04 | 5′-TTTAACCCTTCAYGCCTCGAACT | 297 | |
| 07. | AC05 | 5′-TGCTGAGCGAGTAGGTAGTAGGT | 194 | |
| 08. | iac | 5′-GCTAGGGCGGGTCACGTTTTGCG | 115 | |
| 09. | Aflatoxin Cluster | AC06 | 5′-CCTGTGAGGGACACAAAGACACT | 1427 |
| 10. | AC07 | 5′-GAGGACAGGTTGTGTTGCTGTTG | 1092 | |
| 11. | AC08 | 5′-GAACTGAGCCATTTCCATCAGCG | 897 | |
| 12. | AC09 | 5′-AACGCTTCAACGTGGAGGACATA | 736 | |
| 13. | AC10 | 5′-CCCGCATTTTTCTCGATCCCTTG | 633 | |
| 14. | AC11 | 5′-GTCAGACCACAGTGAGTGCTTCT | 536 | |
| 15. | AC12 | 5′-CCCCTCAACTTCTGTCGTCCTAC | 425 | |
| 16. | AC13 | 5′-GCACACAGCAGAGGCATTTCTAC | 330 | |
| 17. | IC02 | 5′-GCCTGCTAGGCTTGGAACTATGT | 209 | |
| 18. | iac | 5′-GCTAGGGCGGGTCACGTTTTGCG | 115 | |
| 19. | CPA Cluster | CC01 | 5′-GACACTCGTACCATCTATGCACC | 1219 |
| 20. | CC02 | 5′-ACGATACGAGCTTTAGTGCAAGG | 925 | |
| 21. | CC03 | 5′-AGAGCTGCGCACTCCATTT | 821 | |
| 22. | CC04 | 5′-ACCTCAACAATTACACCGGATGG | 648 | |
| 23. | ST01 | 5′-TATCTATCTGGGATACGGGCTGG | 521 | |
| 24. | ST02 | 5′-AAGTCAGATTCCGCGGTATGAAG | 416 | |
| 25. | ST03 | 5′-CCTCCTGCACAAAAATACTCCCA | 320 | |
| 26. | ST04 | 5′-TCATGTTTCGGATCGGAGATTGG | 234 | |
| 27. | iac | 5′-GCTAGGGCGGGTCACGTTTTGCG | 115 | |
| 28. | Sub-telomere | ST05 | 5′-ACTGGTGTTGGATAGAGCTCAGA | 908 |
| 29. | ST06 | 5′-TACTCCGTTGCTGTCATTGGATG | 782 | |
| 30. | ST07 | 5′-TGCTGAATAACAACCTCGACCAG | 684 | |
| 31. | ST08 | 5′-GGTTTCGTCTTGCCTTCTTCTCA | 584 | |
| 32. | ST09 | 5′-CGTACTTTGTTACGGCGTACATC | 512 | |
| 33. | ST10 | 5′-GCCCGTAAATGAGGTGCAGATAA | 404 | |
| 34. | ST11 | 5′-GGGGACTTAGTCGCGAATGGTTA | 285 | |
| 35. | ST12 | 5′-AATGACGACACTTGAGGCACAG | 185 | |
| 36. | iac | 5′-GCTAGGGCGGGTCACGTTTTGCG | 115 |
Figure 3Map showing the countries where bio-pesticide is under the process of being developed. It includes Pakistan, China, Iran, and Thailand in Asia; Senegal, Ghana and Nigeria in Africa; Italy, Romania, Serbia, and Spain in Europe; U.S.A and Cost Rica in North America; Brazil and Argentina in South America; and in Australia.