INTRODUCTION

2089-0257

Jurnal Entomologi Indonesia

2089-02571829-7722

Perhimpunan Entomologi Indonesia

10.5994/jei.20.1.1

INTRODUCTION

MATERIAL AND METHOD

Sample collection

DNA extraction

DNA amplification, electrophoresis, and sequencing

Data analysis

RESULTS

Characterization of FAW in Bogor using

Landscape structure and genetic variation

DISCUSSION

CONCLUSION

Genetic variation of pest fall armyworm Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae) in different landscapes in Bogor

Keragaman genetik hama ulat gerayak jagung Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae) pada lanskap yang berbeda di Bogor

Fahmi

Fajrin

Indonesiafajrinfahmi@apps.ipb.ac.id

Kusumah

R Yayi Munara

Indonesiayayiku@apps.ipb.ac.id

Buchori

Damayanti

Indonesiadamibuchori@gmail.com

Departemen Proteksi Tanaman,Fakultas Pertanian,IPB UniversityFakultas Pertanian,IPB University; Centre for Trandisclipnary and Sustainability Science,IPB University

3152023

2011141120222652023

https://creativecommons.org/licenses/by/4.0

This work is licensed under a Creative Commons Attribution 4.0 International License.Authors who publish with this journal agree to the following terms: Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

https://jurnal.pei-pusat.org/index.php/jei/article/view/747

Spodoptera frugiperda is an invasive pest from the American continent that attacks corn (Zea mays) and rapidly invaded Africa and Asia. Two main factors that support migration and population distribution of this species are suitable habitats and human activities. To date, two genetic strains of S. frugiperda have been found in corn in Indonesia: the corn strain (CS) and the rice strain (RS). The most accurate gene markers to detect these strains are COI and Tpi, which are located in mitochondria and Z chromosome. This study aims to determine the existing strains of S. frugiperda and their distribution in various landscapes in Bogor Regency. The research was conducted from July 2020 to December 2021 in Bogor, West Java. Sampling of S. fungiperda was carried out from corn plants in Leuwisadeng, Pamijahan1, Pamijahan2, Kemang, Tenjolaya, Dramaga, Cigombong, Cijeruk, Tamansari, and Ciomas. Larval samples were collected and preserved using 96% ethanol, followed by DNA extraction, DNA amplification, electrophoresis, and DNA sequencing. Distribution data were analyzedusing QGIS and Google Earth Pro programs, and statistical analysis was performed using SPSS 22. Sequence data were edited using GeneStudio, aligned using ClustalW in BioEdit, and the phylogeny tree was reconstructed using the neighbor-joining method (bootstrap 1000x) using MEGA X. The obtained sequences were compared with sequences from the GenBank® database. The results showed the presence of two distinct strains of COI (COI-CSh4 and COI-RS) and one strain of Tpi (Tpi-C) in Bogor. The study found no relationship between thelandscape structure and genetic variation of S. frugiperda.

COIinvasive specieslandscape

INTRODUCTION

The fall armyworm (FAW) Spodoptera frugiperda (J.E. Smith) is an invasive pest of corn (Zea mays) originating from the American continent (F.A.O., 2020) . In 2016, S. frugiperda was reported to invade corn crops in western and central Africa (Goergen et al., 2016) and the following year in India, China, Myanmar, and Thailand (F.A.O., 2020). In 2019, this insect invaded corn plants in Indonesia, including North Sumatra (Girsang et al., 2020), West Sumatra, Banten, West Java (Bogor) (Sartiami et al., 2020) , Lampung (Trisyono et al., 2019);(Lestari et al., 2020), as well as Garut, Bandung, and Sumedang areas (Maharani et al., 2019). Its large reproductive capacity, absence of diapause, and wide host range (353 plants from 76 families) contribute to its rapid growth and invasion in areas with corn cultivation (Goergen et al., 2016);(Montezano et al., 2018).

Environmental factors that significantly impact the migration and distribution pattern of S. frugiperda are habitats with suitable climates. S. frugiperda will stop and settle in habitats with suitable climates. During migration and population dispersal, genetic mixing can also occur, resulting in genetic variation in a location (Nagoshi et al., 2019). Human activities also affect the distribution of S. frugiperda by facilitating the movement of plant material from one place to another (Wang et al., 2020).

The genetic variation of S. frugiperda based on the host consists of the corn strain (CS) and the rice strain (RS) (Pashley, 1986);(Jacobs et al., 2018). These strains can be detected using COI and Tpi (Triose phosphate isomerase). In Tpi, the strains are represented by Tpi-R (rice strain), Tpi-C (corn strain), and Tpi-H (Tpi-C/Tpi-R). Tpi-H is a heterozygous on the male sex chromosome (ZZ), which can produce Tpi-C and Tpi-R on different Z chromosomes (Nagoshi, 2010) . COI area provides information about DNA barcodes, strains, and haplotypes that distinguish between two geographically separated populations. Tpi area provides information about the strain on gTpi183Y in exon-4 (Nagoshi et al., 2019). Combining information from the COI and Tpi areas is very helpful in determining the population origin of S. frugiperda at a particular location.

The corn strain (CS) variation of COI is divided into four subgroups based on sites 1164 and 1287. These subgroups are described as CS- h1 (A[1164] A[1287]), CS-h2 [A G], CS-h3 [GA], and CS-h4 [G G] (Nagoshi et al. 2007). Based on these subgroups, the maize strain (COI-CS) is classified into three haplotype profiles, namely FAW[TX], FAW[FL], and FAW[M]. FAW [TX] is a haplotype profile of a population with the highest CS-h2 ratio, referring to the profile of a population originating from Texas (USA). FAW [FL] is the haplotype profile that has the most CS-h4 and refers to the population profile originating from Florida (USA). FAW [M] is a combination of the two profiles (Nagoshi et al., 2008);(Nagoshi et al., 2015);(Nagoshi et al., 2017). This haplotype profile is stable and useful in studying the long-distance movements of S. frugiperda (Nagoshi et al., 2008);(Nagoshi et al., 2015);(Nagoshi et al., 2017).

Land configuration is one factor that influences the genetic population structure of species. Landscape spatial and dynamic configurations are essential to the genetic processes that construct gene variation within species (Holderegger & Wagner, 2006). A landscape can affect the distribution pattern of a particular genotype that appears only in suitable habitats. The suitable habitat acts as a corridor, while the unsuitable habitat acts as a barrier. This corridor promotes the dispersal process of an insect genotype, generating genetic similarity in a location (Holzhauer et al., 2006);(Malaquias et al., 2020). A study on Ostrinia furnacalis (Guenée) demonstrated the relationship between genes and the landscape in insects. The study found that mitochondrial haplotype H12 has a positive correlation with corn crops and a negative correlation with other crops such as vegetables, oilseed crops, and cotton. Haplotype H12 tends to be present in locations with corn crops and absent in locations with other crops. Thus, there is an association between the appearance of haplotype H12 and corn crops (Dong et al., 2021).

As a new invasive pest in Indonesia, research on the geographical distribution of S. frugiperda needs to be carried out. Information about the distribution and genetic variation of S. frugiperda is required for control purposes. It is also necessary to determine the origin of S. frugiperda and its existing variants. Currently, it is unknown which strains have entered Indonesia, including Bogor, which has also been invaded by S. frugiperda in corn. Furthermore, it is essential to examine the habitat landscape that supports specific genetic variants of S. frugiperda. Therefore, the aim of this research is to study the geographical distribution and genetic variation of S. frugiperda in Bogor Regency, West Java.

MATERIAL AND METHODSample collection

Sampling of S. frugiperda was conducted in ten invested corn fields in Bogor RegencyTable 1;Figure 1. DNA isolation, amplification, and electrophoresis were carried out at the Insect Pathology Laboratory, Department of Plant Protection, IPB University. The research was conducted from July 2020 to December 2021. Larval samples were taken from each location and put into 96% ethanol. The measured environmental parameters included elevation and the description of the location landscape within a radius of 300 m.

Figure 1

Sampling sites in Bogor Regency.

Image

Table 1

Sampling locations of Spodoptera frugiperda in Bogor

Location (District)	Code	Date	Elevation (m asl)	Corn field area (m²)	Coordinate
Location (District)	Code	Date	Elevation (m asl)	Corn field area (m²)	Latitude	Longitude
Leuwisadeng	1	10 August 2020	225	940	6°34’11.0”S	106°34’53.5”E
Pamijahan 2	2	22 July 2020	350	1.250	6°37’09.7”S	106°40’09.7”E
Kemang	3	21 July 2020	153	4.500	6°31’37.8”S	106°44’47.7”E
Tenjolaya	4	20 July 2020	313	4.000	6°36’30.7”S	106°41’57.0”E
Dramaga	5	17 July 2020	194	500	6°34’50.3”S	106°43’24.6”E
Cigombong	6	14 July 2020	517	2.000	6°44’08.6”S	106°47’53.7”E
Cijeruk	7	30 August 2020	457	2.500	6°42’11.8”S	106°48’39.3”E
Tamansari	8	27 July 2020	582	880	6°38’57.5”S	106°43’39.4”E
Pamijahan 1	9	24 August 2020	595	6.000	6°39’17.4”S	106°41’04.8”E
Ciomas	10	25 August 2020	234	2.300	6°36’13.8”S	106°44’56.6”E

DNA extraction

DNA was extracted from ten S. frugiperda larvae using a modified Doyle and Doyle method (Doyle & Doyle, 1990). About 50-60 mg of larval body parts were put into a 1.5 ml tube along with 400 μl of 65 ^oC CTAB buffer solution (2% CTAB, 50 mM Tris-HCl 0.1 M, 0.02 M EDTA, 1.4 M NaCl, in Mercaptoethanol 1%). Larvae and buffer solution were crushed using a plastic micropestle. The crushed larvae were then vortexed for 10 seconds and incubated in a water bath at 60 ^oC for 30 minutes. The sample was added with a mixture of chloroform: isoamyl alcohol (CI) 24:1 60 μl and vortexed for 10 seconds. The mixture was then centrifuged at 10,000 rpm for 3 minutes. The supernatant formed was transferred to a new tube. The DNA solution was then added with isopropanol at a temperature of -20 ^oC, as much as 0.7 of the total volume of the supernatant. The solution was centrifuged for 3 minutes at 10,000 rpm, then the liquid formed was removed with a micropipette. The pellets were then washed twice with 500 μl of 70% ethanol each and allowed to dry (the tube was inverted) for 12 hours on filter paper at room temperature. Each DNA pellet was dissolved in 100 μl TE. The DNA extraction samples were incubated at 37 ^oC for 1 hour and stored in the refrigerator at -20^oC.

DNA amplification, electrophoresis, and sequencing

Amplification of COI segment was done with two kinds of primers, COIA and COIB. COIA primers are 101F (5’-TTCGAGCTGAATTAGGGACTC-3’) and 911R (5’-GATGTAAAAATA TGCTCGTGT-3’) to produce an 811 bp fragment. COIB primers are 893F (5’-CA CGAGCATATTTTACATCWGCA-3’) and 1303R (5’- CAGGATAGTCAGAATATCGACG -3’) to obtain a 410 bp fragment(Nagoshi et al., 2007). Meanwhile, Tpi amplification was done with primers (5’- GGTGAAATCTCCCCTGCTATG -3’) and 850R (5’- AATTTTATTACCTGCTGTGG -3’) to produce 500 bp fragments(Nagoshi, 2010);(Nagoshi et al., 2017). PCR reactions were performed using the MyTaq™ HS RedMix with standard buffer. PCR was conditioned with an initial denaturation of 94 ^oC for 1 min, followed by 33 cycles (denaturation at 92 ^oC for 30 s; annealing 56 ^oC for 30 s; and elongation at 72 ^oC for 45 s), and final elongation at 72 ^oC for 3 min (Nagoshi et al., 2017). All samples and a 100 bp DNA ladder were separated on a 1.0% agarose gel containing RedSafe™ Nucleic Acid Staining Solution 20,000x (2 μl) in 0.5X Tris-Acetate-EDTA (TAE) buffer. Electrophoresis results were visualized using a UV transilluminator. The PCR results containing S. frugiperda DNA along with the primers were sequenced by a third-party company.

Data analysis

DNA sequence data were edited using GeneStudio, aligned using ClustalW in BioEdit, and used to reconstruct the phylogeny tree using the neighbor-joining method (bootstrap 1000x) in MEGA X. The sequences obtained were compared with sequences from the GenBank® database. Distribution data were analyzed using QGIS and Google Earth Pro, and SPSS 22 for statistical analysis (t-test). The haplotype profile of the corn strain was calculated using the formula (CSh4 - CSh2)/(CSh4 + CSh2). FAW [TX] has an index value ≤ -0.3; FAW [FL] ≥ 0.1; and FAW [M] -0.3 < x < 0.1 (Nagoshi et al., 2017).

RESULTSCharacterization of FAW in Bogor using <italic>Cytochrome Oxidase Subunit I</italic> (COI)

The phylogenetic tree of COI reveals two clades of S. frugiperda, corn strain (CS) and rice strain (RS)Figure 2. The sequence samples from Bogor cluster with corn and rice strains from Florida (HM136586 and HM136593); Three samples of the corn strain (COI-CS) and seven samples of the rice strain (COI-RS). The corn strains are found in Leuwisadeng, Kemang, and Cigombong. The rice strains are found in Pamijahan 2, Tenjolaya, Dramaga, Cijeruk, Tamansari, Pamijahan 1, and Ciomas. These corn strain samples are all categorized as the subgroup of haplotype h4 or CS-h4 Table 2. This means that sites 1164 and 1287 show guanine (G).

Characterization of FAW in Bogor using <italic>Triosephosphate Isomerase</italic> (Tpi)

Based on site Tpi183Y of exon 4 (gTpi183Y), all samples were classified as C183. This means that all samples found in Bogor Regency were corn strains or Tpi-CTable 3. Based on sites 192 and 198 of exon 4, the characteristics of Tpi-C in Bogor Regency are AfrCa1 and AfrCa2. AfrCa1 has C at sites 192 and 198 (C₁₉₂ and C₁₉₈). AfrCa2 has T on sites 192 and 198. Leuwisadeng, Dramaga, Cigombong, Cijeruk, Tamansari, Pamijahan 1, and Ciomas were characterized as AfrCa1. Pamijahan 2, Kemang, and Tenjolaya were characterized as AfrCa2Table 3.

Landscape structure and genetic variation

The landscape structure around corn fields in Bogor Regency consisted of roads, rivers/ waters, settlements, trees, paddy fields, fields, and abandoned/vacant landFigure 3. The field is a class that has the largest area of the landscape. However, fields in Bogor were not uniformly planted within a 300 m radius. Cornfields accounted for only about 0.25 ha out of more than 10 ha of fields. Each farmer in Bogor Regency had a relatively narrow land area, and they grew crops that were spatially and temporally diverse.

Figure 2

Phylogeny tree based on Cytochrome Oxidase I (COI) gene with neighbor-joining method and bootstrap 1000x that showed two group of strain. The Bogor sequences were submitted on GenBank (Accession Number: ON753769-ON753778).

Image

Table 2

Polymorphism sites that show subgroup haplotype in corn strain FAW based on COIB

Code	Nucleotide site				Location	Reference
Code	1122	1125	1164	1287	Location	Reference
JN573287.1 (h1)	C	T	A	A	USA	(Nagoshi et al., 2007)
JN573288.1 (h2)	-	-	-	G	USA	(Nagoshi et al., 2007)
JN573289.1 (h3)	-	-	G	-	USA	(Nagoshi et al., 2007)
JN573290.1 (h4)	-	-	G	G	USA	(Nagoshi et al., 2007)
1,3,6	-	-	G	G	Bogor, Indonesia	This study
AfrCsa1	-	-	G	-	Afrika	(Nagoshi et al., 2019)
AfrCsa2	-	-	-	-	Afrika	(Nagoshi et al., 2019)

The settlemens had the highest number of patches (NumP), which means they have scattered fragments (up to more than 27 patches/location). The trees did have a relatively large area but were quite fragmented because of the high NumP value Table 4. The altitude of the land varied from 153 m asl to 595 m aslTable 1.

Ten landscape variables were statistically analyzed using a t-test based on the COI variation (corn and rice strains). The analysis results did not show a significant effect at the 5% level of the ten landscape variables testedTable 4.

DISCUSSION

The phylogenetic tree of COI-A showed that S. frugiperda in Bogor clustered into two clades, COI-CS and COI-RS. 70% (7/10) of the samples were COI-RS, and 30% (3/10) were COI-CS. This result is similar to the genetic variation of S. frugiperda in several locations in Indonesia that took samples in 2019 (Dharmayanthi et al., 2022) and Southeast Asia that were predominated by COI-RS (Nagoshi et al., 2020). Those studies indicate that the COI-RS is uniformly predominant in various geographical areas.

All the corn strains in the Bogor Regency are categorized as h4 (COI-CS-h4) and can be clasified as FAW [FL]. It means the haplotype profile of S. frugiperda in Bogor Regency is close to S. frugiperda in Great Antille and Florida (Nagoshi et al., 2017);(Nagoshi et al., 2018);(Nagoshi et al., 2020). This haplotype profile in Southeast Asia has only been discovered in Myanmar with FAW [FL] and is similar to profiles in India and African countries (Nagoshi et al., 2020). In Indonesia, this profile has never been studied before.

Based on Tpi, all samples in this study showed the corn strain (Tpi-C). Recent studies on Tpi in S. frugiperda in Indonesia (Dharmayanthi et al., 2022) and Myanmar (Nagoshi et al., 2020)also showed similar results. The difference in the results of these two countries is the presence of Tpi-H. It means that Myanmar had rice strain in the form of Tpi-H (Tpi-R/Tpi-C). Therefore, Tpi-H can be in Indonesia at any time. Early detection of Tpi-H and Tpi-R in Indonesia is necessary because these strains have the potential to invade paddy fields (Nagoshi et al., 2020).

There are two types of S. frugiperda in this study, COI-RS Tpi-C, and COI-CS Tpi-C. The characterization of Tpi and COI in this study resulted from the same individual. It means one individual can have rice strain from COI (COI- RS) and corn strain from Tpi marker (Tpi-C). The presence of a discordant strain (COI-RS Tpi-C) in an individual S. frugiperda is influenced by the intermating of a female rice strain and a male corn strain (Nagoshi, 2010);(Nagoshi et al., 2020). Most of the S. frugiperda population in Indonesia consisted of the COI-RS Tpi-C strain (Dharmayanthi et al., 2022), similar to populations in China, India, and Africa. However, existing populations in those countries suggest that S. frugiperda was introduced in small numbers from the Western Hemisphere or its natural habitat. The small numbers are believed to have come exclusively from corn crops in America. A small portion (about 20%) of those living in the corn crops are COI-RS. This strain and other corn strains of S. frugiperda invaded Africa and Asia and were detected exclusively in corn. That is why Tpi in the eastern hemisphere is more accurate in indicating host-associated strains, while COI in the western hemisphere is more informative (Nagoshi et al., 2020).

The distribution of S. frugiperda strains in Bogor Regency based on COI indicates that corn strains are found in locations on the outskirts, such as Cigombong, Leuwisadeng, and KemangFigure 1;Figure 2. Meanwhile, rice strains were found in the middle of Bogor. The locations where the rice strain of COI was found had different landscape conditions. Tenjolaya (code 4), which has a large agricultural field, can have the same strain as Dramaga (code 5), where the sampling location is in the middle of settlementsTable 1Figure 3 This can also be observed in Pamijahan 1 (code 9), where the highest location exhibits the same strain as low location, such as Dramaga (code 5) and Ciomas (code 10). The result of the t-test also shows no significant difference in the landscape variable. Thus, this study found no significant landscape differences between corn and rice strains Table 4. There are no visible barriers; only a corridor is found due to the presence of corn crops. However, the corridor could not distinguish between the presence of the two COI strains. Thus, this finding supports the idea that the corn strain of S. frugiperda in Asia and Africa represents a small fraction compared to the western hemisphere, where it is primarily found in corn crops than paddy fields(Nagoshi et al., 2020). Tpi was not statistically tested in this study because all samples exhibited Tpi-C, indicating that landscape variables had no significant influence on Tpi variation, except for the presence of corn crops. Further investigation into landscape and host strain is necessary, involving additional locations, samples, and a broader radius.

Table 3

Polymorphism sites that show strains FAW based on Tpi

Code	Nucleotide site (exon 4)								Location
Code	129	144	165	168	180	183	192	198	Location
GQ411914.1 (Tpi-C)	C	G	C	T	C	C	T	T	USA¹
AfrCa1 (Tpi-C)	-	-	-	-	-	-	C	C	Africa²
AfrCa2 (Tpi-C)	-	-	-	-	-	-	-	-	Africa²
1,5,6,7,8,9,10	-	-	-	-	-	-	C	C	Bogor
2,3,4	-	-	-	-	-	-	-	-	Bogor
Consensus Tpi-R	-	-	T	C	-	T	-	-	Western Hemisphere²
Consensus Tpi-C	-	-	-	-	-	-	Y*	Y*	Western Hemisphere²

*Y= C/T; ¹(Nagoshi, 2010) ; ² (Nagoshi et al., 2019)

Figure 3

Landscape map in 300 m radius from sampling point in Bogor Regency that grouped by COI-CS and COI-RS.

Image

Table 4

Statistical analysis (t-test) of landscape variables based on COI corn (n = 3) and rice (n = 7) strain

Variable	Corn strain (Means ± SD)	Rice strain (Means ± SD)	P-value
CA Trees (ha)	5.97 ± 1.27	6.50 ± 3.04	0.78
NumP Trees	11.00 ± 2.65	18.29 ± 8.48	0.20
CA Settlements (ha)	6.68 ± 2.44	6.73 ± 3.17	0.98
NumP Settlements	20.00 ± 8.54	27.00 ± 6.66	0.20
CA Fields (ha)	7.50 ± 4.59	10.38 ± 6.07	0.49
NumP Fields	9.67 ± 6.35	8.57 ± 5.16	0.78
CA Paddy fields (ha)	5.48 ± 5.34	2.20 ± 2.70	0.22
NumP Paddy fields	2.67 ± 2.52	3.14 ± 2.48	0.79
Elevation (m asl)	298.33 ± 192.76	389.29 ± 160.03	0.46
Corn field area (m²)	2480.00 ± 1827.90	2490.00 ± 1946.20	0.99

CA: class area; NumP: number of patch.

CONCLUSION

The genetic variation of S. frugiperda in corn fields in Bogor, as determined by COI analysis, consisted of three samples of COI-CS and seven samples of COI-RS. All COI-CS samples have h4 haplotypes and can be classified as FAW [FL] profile haplotypes. Based on Tpi analysis, all ten samples exhibit the Tpi-C strain. Geographically, COI-CS is predominantly found in the outskirts of Bogor Regency, while COI-RS is primarily found in the central area of Bogor Regency. The variation ine the landscape within a 300 m radius in Bogor Regency does not correlate with the variation in host strains of S. frugiperda, based on COI and Tpi.

References

Genetic characteristics and strain types of the invasive fall armyworm Spodoptera frugiperda (J.E

Dharmayanthi

A.B.

Subagyo

V.N.O.

Nugraha

R.T.P.

Rahmini

Rahmadi

Darmawan

Sutrisno

2022

10.13057/biodiv/d230809.

Landscape genetic analyses reveal host association of mitochondrial haplotypes in the Asian corn borer, Ostrinia furnacalis

Insect Science28

Dong

Zhang

Ouyang

Song

Men

202111691178

1169-1178

10.1111/1744-7917.12798.

Isolation of plant DNA from fresh tissue

Focus12

Doyle

J.J.

Doyle

J.L.

19901315

13-15

10.2307/2419362.

The Global Action for Fall Armyworm Control, Action Framework 2020–2022

F.A.O.

2020

FAO

Roma

The distribution and impact of fall army worm (Spodoptera frugiperda) on maize production in North Sumatra

IOP Conf. Series: Earth and Environmental Science484012099

Girsang

S.S.

Nurzannah

S.E.

Girsang

M.A.

Effendi

2020

10.1088/1755-1315/484/1/012099.

First report of outbreaks of the fall armyworm Spodoptera frugiperda (J.E

Goergen

Kumar

P.L.

Sankung

S.B.

Togola

Tamò

2016

10.1371/journal.pone.0165632.

A brief guide to landscape genetics

Landscape Ecology21

Holderegger

Wagner

H.H.

2006793796

793-796

10.1007/s10980-005-6058-6.

Effect of historic landscape change on the genetic structure of the bush-cricket Metrioptera roeseli

Landscape Ecology21

Holzhauer

S.I.J.

Elkschmitt

Sander

Dauber

Wolters

2006891899

891-899

10.1007/s10980-005-0438-9.

Characterisation of the fall armyworm (Spodoptera frugiperda J.E

Jacobs

Vuuren

Rong

I.H.

2018

10.4001/003.026.0045.

Identification and genetic diversity of Spodoptera frugiperda in Lampung Province, Indonesia

Biodiversitas21

Lestari

Fitriana

Budiarti A.

Susilo

Swibawa

Sudarsono

Suharjo

Hariri

Purnomo

Nuryasin

Solikhin

Wibowo

Jumari

Hartaman

202016701677

1670-1677

10.13057/biodiv/d210448.

Cases of fall army worm Spodoptera frugiperda J

EMaharani

Dewi

V.K.

Puspasari

L.T.

Rizkie

Hidayat

Dono

2019

10.24198/cropsaver.v2i1.23013.

Experimental and theoretical landscape influences on Spodoptera frugiperda movement and resistance evolution in contaminated refuge areas of Bt cotton

Journal of Pest Science93

Malaquias

J.B.

Caprio

M.A.

Godoy

W.A.C.

Omoto

Ramalho

F.S.

Pachú

J.K.S.

2020329340

329-340

10.1007/s10340-019-01145-1.

Host plants of Spodoptera frugiperda (Lepidoptera: Noctuidae) in the Americas

African Entomology26

Montezano

D.G.

Specht

Sosa-Gómez

D.R.

Roque-Sepcht

V.F.

Sousa-Silva

2018286300

286-300

10.4001/003.026.0286.

Comparison of haplotype frequencies differentiate fall army worm (Lepidoptera: Noctuidae) corn-strain population Florida and Brazil

Journal of Economic Entomology100

Nagoshi

R.N.

Silvie

Meagher

R.L.

2007954961

954-961

10.1093/jee/100.3.954.

Using haplotypes to monitor the migration of fall armyworm (Lepidoptera: Noctuidae) corn-strain population from Texas and Florida

Journal of Economic Entomology101

Nagoshi

R.N.

Meagher

R.L.

Flanders

Gore

Jackson

Lopez

Armstrong

J.S.

Buntin

G.D.

Sansone

Leonard

B.R.

2008742749

742-749

10.1093/jee/101.3.742.

The fall armyworn triose phosphate isomerase (Tpi) gene as a marker of strain identity and interstrain mating

Annals of the Entomology Society of America103

Nagoshi

R.N.

2010283292

283-292

10.1603/AN09046.

Haplotype profile comparisons between Spodoptera frugiperda (Lepidoptera: Noctuidae) populations from Mexico with those from Puerto Rico, South America, and the United States and their implications to migratory behavior

Journal of Economic Entomology108

Nagoshi

R.N.

Rosas-García

N.M.

Meagher

R.L.

Fleischer

S.J.

Westbrook

J.K.

Sappington

T.W.

Hay-Roe

Thomas

J.M.G.

Murúa

G.M.

2015135144

135-144

10.1093/jee/tou044.

Comparative molecular analyses of invasive fall armyworm in Togo reveal strong similarities to populations from the eastern United States and the Greater Antilles

Plos One12:e0181982

Nagoshi

R.N.

Koffi

Agboka

Tounou

K.A.

Banerjee

Jurat-Fuentes

J.L.

Meagher

R.L.

2017

10.1371/journal.pone.0181982.

Fall armyworm migration across the Lesser Antilles and the potential for genetic exchange between North and South American populations

Plos One12:e0171743

Nagoshi

R.N.

Fleischer

Meagher

R.L.

Mirian

Hay-Roe

Khan

Murua

Silvie

Vergara

Westbrook

2017

10.1371/journal.pone.0171743.

Analysis of strain distribution, migratory potential, and invasion history of fall armyworm populations in northern Sub-Saharan Africa

Scientific Reports83710

Nagoshi

R.N.

Goergen

Tounou

K.A.

Agboka

Koffi

Meagher

R.L.

2018

10.1038/s41598-018-21954-1.

Genetic characterization of fall armyworm (Spodoptera frugiperda) in Ecuador and comparisons with regional populations identify likely migratory relationship

Plos One14:e0222332

Nagoshi

R.N.

Nagoshi

B.Y.

Cañarte

Navarrete

Solórzano

Garcés-Carrera

2019

10.1371/journal.pone.0222332.

Southeastern Asia fall armyworms are closely related to populations in Africa and India, consistent with common origin and recent migration

Scientific Reports101421

Nagoshi

R.N.

Htain

N.N.

Boughton

Zhang

Xiao

Nagoshi

B.Y.

Mota-Sanchez

2020

10.1038/s41598-020-58249-3.

Host-associated genetic differentiation in fall armyworm (Lepidoptera: Noctuidae): a sibling species complex?

Annals of the Entomological Society of America79

Pashley

D.P.

1986898904

898-904

10.1093/aesa/79.6.898.

First record of fall armyworm (Spodoptera frugiperda) in Indonesia and its occurrence in three provinces

Earth and Enviromental Science468012021

Sartiami

Dadang

Harahap

Kusumah

Anwar

2020

10.1088/1755-1315/468/1/012021.

Occurrence of heavy infestation by the fall armyworm Spodoptera frugiperda, a new alien invasive pest, in corn Lampung Indonesia

Jurnal Perlindungan Tanaman Indonesia23

Trisyono

Y.A.

Suputa

Aryuwandari

V.E.F.

Hartaman

Jumari

2019156160

156-160

10.22146/jpti.46455.

Potential distribution of Spodoptera frugipera (J.E. Smith) in China and the major factors influencing distribution

Global Ecology and Conservation21:e00865

Wang

Jiang

Guo

Chen

You

Zhang

Wang

2020

10.1016/j.gecco.2019.e00865.

Acknowledgments

We express gratitude to Indonesia Endowment Fund for Education (LPDP) and Penelitian Terapan Unggulan Perguruan Tinggi Tahun 2020 according to contract number:1/E1/KP.PTNBH/2020 dated 18th March 2020 for providing research funding, and we would like to extend our appreaciation to the Biological Control Lab Team for their valuable support throughout this research