| Literature DB >> 35121788 |
Rodney N Nagoshi1, Georg Goergen2, Djima Koffi3, Komi Agboka4, Anani Kossi Mawuko Adjevi4, Hannalene Du Plessis5, Johnnie Van den Berg5, Ghislain T Tepa-Yotto6,7, Jeannette K Winsou8,9, Robert L Meagher10, Thierry Brévault11,12.
Abstract
The fall armyworm, Spodoptera frugiperda (J.E. Smith) is native to the Americas and a major pest of corn and several other crops of economic importance. The species has characteristics that make it of particular concern as an invasive pest, including broad host range, long-distance migration behavior, and a propensity for field-evolved pesticide resistance. The discovery of fall armyworm in western Africa in 2016 was followed by what was apparently a remarkably rapid spread throughout sub-Saharan Africa by 2018, causing economic damage estimated in the tens of billions USD and threatening the food security of the continent. Understanding the history of the fall armyworm invasion of Africa and the genetic composition of the African populations is critical to assessing the risk posed to different crop types, the development of effective mitigation strategies, and to make Africa less vulnerable to future invasions of migratory moth pests. This paper tested and expanded on previous studies by combining data from 22 sub-Saharan nations during the period from 2016 to 2019. The results support initial descriptions of the fall armyworm invasion, including the near absence of the strain that prefers rice, millet, and pasture grasses, while providing additional evidence that the magnitude and extent of FAW natural migration on the continent is more limited than expected. The results also show that a second entry of fall armyworm likely occurred in western Africa from a source different than that of the original introduction. These findings indicate that western Africa continues to be at high risk of future introductions of FAW, which could complicate mitigation efforts.Entities:
Mesh:
Year: 2022 PMID: 35121788 PMCID: PMC8816908 DOI: 10.1038/s41598-022-05781-z
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.996
Figure 1Map of croplands in sub-Saharan Africa with locations of collection sites that are detailed in Table 1. In light green are the locations of agricultural crop areas identified by satellite imagery at 30-m resolution, with the map obtained from https://croplands.org/app/map[30,31]. Dashed grey line separate western and eastern collection sites. Pie charts describe the proportion of COI-CS and COI-RS haplotypes in each region.
Source of FAW specimens (S&P: São Tomé & Príncipe, CAR: Central African Republic, DRC: Democratic Republic of the Congo, RoD: Republic of Djibouti).
| Symbol | Year | Nation | Nearest city | Collector/[references] |
|---|---|---|---|---|
| a | 2017 | Cabo Verde | Santo Antão, Santiago | C. Tavares |
| b | 2018 | Senegal | Dakar | T. Brevault |
| b | 2019 | Senegal | Dakar | T. Brevault |
| c | 2016 | Ghana | Multiple locations | [ |
| c | 2017 | Ghana | Multiple locations | G. Goergen |
| c | 2018 | Ghana | Ejura | G. Tepa-Yotto[ |
| d | 2016 | Togo | Multiple locations | [ |
| d | 2017 | Togo | Lomé | [ |
| d | 2018 | Togo | Vogan | [ |
| d | 2019 | Togo | Kovie | [ |
| e | 2017 | Benin | Setto | G. Goergen |
| e | 2018 | Benin | Hougbo | G. Goergen |
| e | 2019 | Benin | Bohicon | G. Goergen |
| f | 2016 | Nigeria | Ibadan | G. Goergen |
| g | 2019 | Niger | Djiratawa | G. Tepa-Yotto |
| h | 2016 | S&P | Pinheira | [ |
| i | 2018 | Gabon | Multiple locations | D. K. Mouendou |
| j | 2017 | Chad | Bébédjia | [ |
| k | 2017 | CAR | Sekia | [ |
| l | 2018 | Congo | Apoko | Louhouari & Mapangou |
| m | 2017 | DRC-North | Gemena | [ |
| n | 2017 | RoD | Holhol | G. Goergen |
| o | 2017 | Ethiopia | Awash Melkasa | G. Goergen |
| p | 2017 | Kenya | Multiple locations | [ |
| q | 2017 | Burundi | Multiple locations | [ |
| r | 2017 | Tanzania | Morogoro, Songea | [ |
| r | 2019 | Tanzania | Morogoro | J. Van den Berg |
| s | 2018 | Comoros | Mohéli | G. Goergen |
| t | 2017 | DRC-South | Kambove | [ |
| u | 2017 | Zambia | Serenje | [ |
| v | 2017 | Zimbabwe | Harare | G. Goergen |
| w | 2017 | South Africa | Multiple locations | [ |
| w | 2018 | South Africa | Malelane | J. van den Berg |
| w | 2019 | South Africa | East London | H. du Plessis |
| Brz | 2008 | Brazil | Multiple sites | [ |
| PR | 2009–2012 | Puerto Rico | Multiple sites | [ |
| TX | 2008–2015 | Texas, USA | Multiple sites | [ |
| FL | 2008–2015 | Florida, USA | Multiple sites | [ |
Figure 2Diagrams of the relevant COI and Tpi gene segments, with descriptions of polymorphisms used to identify different haplotypes. Vertical lines in gene segments indicated site of single-base polymorphism with the thicker band indicating polymorphism diagnostic of strain identity. (A) COIB polymorphisms and the haplotypes observed in African FAW. Sites mCOI1164D and mCOI1287R identify strain and the h-haplotypes (h1-4). Sites mCOI1176 and mCOI1182 are also strain-specific in Western Hemisphere populations. (B) Diagram of the Tpi sequence used to PCR amplify the TpiE4 exon segment. Site gTpi183 is diagnostic of Tpi-based strain identity in all locations. Sites gTpi165 and gTpi168 are also strain-specific in the Western Hemisphere. Sites gTpi168 and gTpi180 are also strain-specific in Africa. Sites gTpi192 and gTpi198 are polymorphic but not strain-specific in all locations. Block arrows indicate location of primers used for PCR amplification and DNA sequencing.
Statistical comparisons between selected FAW collections using two-tailed t-test (TogS&P = Togo and São Tomé and Príncipe group).
| Comparison (letters from Table | ||||
|---|---|---|---|---|
| a | 4.55 | 5 | 0.0061 | |
| b | TpiCa2: TogS&P (dh)1 vs East (mpqrt)a | 4.14 | 5 | 0.0090 |
| c | 6.81 | 11 | < 0.0001 | |
| d | TpiCa2: TogS&P (dh)2 vs East (cjkmpqrtuw)b | 3.07 | 11 | 0.0107 |
| e | 3.30 | 27 | 0.0028 | |
| f | TpiCa2: TogS&P (dh) vs East (n-w) | 2.25 | 14 | 0.0411 |
| g | TpiCa2: West (a-m) vs East (n-w) | 1.70 | 29 | 0.1004 |
| h | TpiC: West (a-m) vs East (n-w) | 1.37 | 27 | 0.1816 |
| i | West (a-m): | 1.40 | 34 | 0.1721 |
| j | East (n-w): | 7.91 | 20 | < 0.0001 |
| k | 2.96 | 27 | 0.0063 | |
| l | 4.38 | 27 | 0.0002 | |
| m | TpiH: West (a-m) vs East (n-w) | 1.10 | 27 | 0.2803 |
aOnly collections from 2016 to 2017[16].
bOnly collections from 2016 to 2017[26].
Figure 3Bar graph describing COI haplotype frequencies in western and eastern Africa. Collections are as described in Table 1. The mean ± the Standard Error of the Mean (SEM) for different regions is presented above the graph. Asterisks indicate data from earlier studies.
Figure 4Bar graphs indicating frequency of Tpi haplotypes in western and eastern Africa. Collections are as described in Table 1. The mean ± SEM for different regions is presented above the graph. Asterisks indicate data from earlier studies. (A) Frequency of the TpiCa2 haplotype. (B) Frequency of the TpiC haplotype diagnostic of the C-strain.
Figure 5Description of origins and frequencies of the different observed COI Tpi haplotype configurations. (A) Describes crosses that can produce different COI Tpi combinations. The COI haplotype is maternally inherited and indicated by either a circle (female) or square (male), with shading differentiating COI-CS from COI-RS. The Z-linked Tpi gene is present in one copy in females (Z/W) and two copies in males (Z/Z) and undergoes sex-linked segregation. “CR hybrid” indicates cross between a C-strain female and R-strain male, while “RC hybrid” defines the reciprocal mating. (B) Describes the frequencies of the different COI Tpi configurations in western and eastern Africa.
Figure 6Bar graphs describing the m-values calculated for different collections as described in Table 1. (A) compares the m-values for various sites in Africa with those observed with FAW from Brazil (Brz), Puerto Rico (PR), Florida (FL), and Texas (Tx). (B) describes the m-values for collections from Ghana, Togo, and Benin.