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Molecular identification of three entomopathogenic fungi infecting the brown plant hopper pest in Indonesia

Abstract

Background

Brown plant hopper (Nilaparvata lugens Stal.) a very damaging pest to rice crops. One of the efforts to control it is the use of entomopathogenic fungi (EPF). Three fungal local isolates found in Indonesia were effective in controlling the brown plant hopper pest. This study aimed to molecularly identify the 3 fungal isolates. Molecular identification is very important to get the exact identity of these fungi. The accuracy of EPF identification will greatly determine the success of control. Molecular identification is based on a partial genetic analysis of the internal transcribed spacer (ITS) locus of ribosomal fungal DNA.

Result

Morphology of the local isolates named J22 and J60 were identified as Paecilomyces sp., while the isolate J34 was identified as Beauveria sp. The results of molecular identification of the isolates J22 and J60 were identified as the fungi Lecanicillium saksenae and Simplicillium sp., while isolate J34 was identified as Myrothecium sp. The results of literature search showed that the 3 fungi have never been previously reported to infect the brown plant hopper.

Conclusion

In Indonesia, 3 types of EPF, namely L. saksenae, Simplicillium sp., and Myrothecium sp., were found having the potential to control the brown plant hopper pest.

Background

Brown planthopper (BPH) Nilaparvata lugens is a major insect pest of rice that causes 20–80% yield loss through direct and indirect damage. The typical damage caused by BPH is drying of plants as if burning (hopperburn) (Balachiranjeevi et al. 2019). BPH can also transmit grassy stunt and ragged stunt viruses (Helina et al. 2019).

The frequency of BPH infestation is increasing frequently in developing Asian countries due to the killing of its natural enemies because of the use of synthetic chemical insecticides (Minarni et al. 2018). Entomopathogenic fungi (EPF) are fungi that can infect and kill insects (Litwin et al. 2020). The EPF that have been widely researched and known to be effective for controlling BPH pests are B. bassiana (Sumikarsih et al. 2019) and Metarhizium sp. (Chinniah et al. 2016). However, in their implementation in the field, the use of EPF to control BPH pests still has many weaknesses. After application in the field, insect pathogens are exposed to various abiotic stresses such as temperature and humidity (Hsia et al. 2014), UV radiation (Shafighi et al. 2014), and edaphic factors (Klingen et al. 2015).

In addition to biotic stress, the effectiveness of EPF in controlling insect pests is influenced by the diversity of varieties or strains or types of them. EPF have large genetic variations among different isolates. The pathogenicity, virulence, enzymatic characteristics, and DNA also varied among different isolates of different insects. The origin of the isolate affects the virulence diversity of the fungus against the host insect, due to the type or race or strain of the fungus (Chen et al. 2017a, b).

The results of previous studies have reported 3 effective fungal isolates to control the brown plant hopper pest. The 3 isolates caused 70–80% mortality within 3.43–4.87 days. The 3 isolates were Pasir Kulon (J22), Cipete (J34), and Papringan (J60). According to morphological characteristics, isolates J22 (Pasir Kulon) and J60 (Papringan) were identified as Paecilomyces sp., while J34 (Cipete) isolate was identified as Beauveria sp. (Minarni et al. 2020).

Accuracy of identification is very important in the use of EPF for insect pest control. Identification based on morphological characters cannot be used to distinguish fungi to the species level so it is necessary to identify them molecularly (Imoulan et al. 2017). This research aimed to precisely identify the 3 previously mentioned EPF isolates that attack the brown plant hoppers.

Methods

Identification process

Fungal isolates J22 (Pasir Kulon), J34 (Cipete), and J60 (Papringan) were identified molecularly based on a partial genetic analysis on the internal transcribed spacer (ITS) locus of ribosomal DNA of fungi. Fungal isolates that will be identified previously were grown in potato dextrose broth (PDB) liquid media. After being incubated for 72 h, the fungal mycelia were harvested, using sterile filter paper and washed with sterile distilled water. The fungal mycelia were crushed in a sterile mortar by a sterile grinder and liquid nitrogen was added. Half a gram of dry fungal biomass was transferred to a 1.5-ml micro-tube containing 600 μl of cetyl trimethylammonium bromide (CTAB) buffer solution. Afterwards, the tube was shaken out and incubated at 65 °C for 30 min, then incubated in ice for 5 min. A mixture of chloroform and isoamyl alcohol with a ratio of 24:1 of 600 μl was added to the tube. The tubes were then centrifuged at 4 °C for 10 min at a speed of 25,000×g. The supernatant was transferred to a new tube and added with 0.1× volume of 2M NaOAc pH 5.2 and 3× volume of ethanol then incubated at − 20 °C for 2 h.

Fungal DNA pellets were obtained by centrifugation at 25,000×g at 4 °C for 25 min. The fungal DNA pellets were washed by 500 μl of 70% ethanol, then centrifuged at 25,000×g at 4 °C for 5 min. The fungal DNA pellets were dried in an airtight chamber for 5 min, then dissolved in 0.2× volume of RNAse and 30 μl of sterile TE (TrisHCl 10 mM, pH 7.4, EDTA 1 mM) buffer and then incubated at 37 °C for 10 min and 70 °C for 10 min.

Extraction of fungal DNA was done using Nucleon PhytoPure reagent kit (Amersham LIFE SCIENCE, USA). PCR amplification was at ITS, using ITS Primer 4: 5′-TCC TCC GCT TAT TGA TAT GC-3′ and ITS Primer 5: 5′-GGA AGT AAA AGT CGT AAC AAG G-3′ (White et al. 1990). DNA amplification was carried out by making a volume of 30 μl containing 10.5 μl of alkaline free water, 15 μl 2× PCR mastermix (Promega), 0.75 μl and 10 pmol respectively of primer ITS 4 and ITS 5 and 3 μl (about 250 ng/μl) DNA template. The amplification reaction was carried out in 35 cycles as follows: pre-denaturation at 95 °C for 15 min, denaturation at 95 °C for 30 min, heating (annealing) at 55 °C for 30 s, lengthening at 72 °C for 1.5 min, re-extension at 72 °C for 5 min. and lastly stored at 25 °C for 10 min.

Purification of PCR products was carried out by using Polyethilen Glycol (PEG) precipitation method (Hiraishi et al. 1995) and continued with a sequencing cycle. The results of sequencing cycle were purified again, using the ethanol purification method. Analysis of nitrogen base sequence readings was done using an automated DNA sequencer (ABI PRISM 3130 Genetic Analyzer) (Applied Biosystems). The raw data resulting from the sequencing was then trimmed and assembled, using the BioEdit program (http://www.mbio.ncsu.edu/BioEdit/bioedit.html). Sequence data that was assembled was then carried out in BLAST with genomic data that was registered at the National Center for Biotechnology Information (http://www.ncbi.nlm.nih.gov/BLAST) to determine taxon or species that have the greatest homology/similarity and molecularly.

Results

Morphological identification

Fungal isolates, isolated from brown plant hoppers, were infected by EPF. Fungi were purified and cultured on potato dextrose agar (PDA) media. The results of the observation on morphological characteristics, the isolates J22 (Pasir Kulon) and J60 (Papringan) were identified as Paecilomyces sp. while J34 (Cipete) isolate was identified as Beauveria sp. (Minarni et al. 2020). The morphological characters of each EPF isolate (J22, J34 and J60) are presented in (Table 1 and Figs. 1, 2, and 3).

Table 1 Morphological characteristics of entomopathogenic fungi J22, J34, and J60 isolates
Fig. 1
figure 1

a Colony of 8 days old Pasir Kulon (J22) isolate. b Paecilomyces sp. conidia (Minarni et al. 2020). c Paecilomyces lilacinus conidia (Dong et al. 2016)

Fig. 2
figure 2

a Colony of 8 days old Cipete (J34) isolate. b Beauveria sp. conidia (Minarni et al. 2020). c Beauveria bassiana conidia (Nuraida and Hasyim 2009)

Fig. 3
figure 3

a Pure cultures of 8 days old Papringan isolate (J60). b Paecilomyces sp. conidia (Minarni et al. 2020). c Paecilomyces javanicus conidia (Dong et al. 2016)

Molecular identification

The results of the ITS rDNA sequencing of fungal isolates J22, J34, and J60 are as follows:

  1. 1.

    ITS rDNA isolate sequence

    1. (a)

      Pasir Kulon_ITS4

1

TCACGTTCAG

AAAGTGGGGT

GTTTTACGGC

GTGGCCACGT

CGGGGTTCCG

51

GTGCGAGGTT

GGATTACTAC

GCAGAGGTCG

CCGCGGACGG

GCCGCCACTC

101

CATTTCGGGG

CCGGCGGTAT

GCTGCCGGTC

CCCAACGCCG

ATTTCCCCAA

151

AGGGAAGTCG

AGGGTTGAAA

TGACGCTCGA

ACAGGCATGC

CCGCCAGAAT

201

GCTGGCGGGC

GCAATGTGCG

TCAAAGATTC

GATGATTCAC

TGAATTCTGC

251

AATTCACATT

ACTTATCGCA

TTTCGCTGCG

TTCTTCATCG

ATGCCAGAAC

301

CAAGAGATCC

GTTGTTGAAA

GTTTTTGATTC

ATTTGTTTTG

CCTTGCGGCG

351

GATTCAGAAG

ATACTCATGA

TACAAAAGAG

TTTGGTGGTC

TCCGGCGGCC

401

GCCTGAGTCC

GGGCCGCGGG

CGGCGCTAGG

CCGTCCGGAC

GCCGGGGCGA

451

GTCCGCCGAA

GCAACATCTT

GGTATGTTCA

CATAAGGGTT

TGGGAGTTGT

501

AAACTCTGTA

ATGATCCCTC

CGCTGGTTCA

CCAACGGAGA

CCTTGTTAC

  1. (b)

    Pasir Kulon_ITS5

1

GTTGCTTCGG

CGGACTCGCC

CCGGCGTCCG

GACGGCCTAG

CGCCGCCCGC

51

GGCCCGGACT

CAGGCGGCCG

CCGGAGACCA

CCAAACTCTT

TTGTATCATG

101

AGTATCTTCT

GAATCCGCCG

CAAGGCAAAA

CAAATGAATC

AAAACTTTCA

151

ACAACGGATC

TCTTGGTTCT

GGCATCGATG

AAGAACGCAG

CGAAATGCGA

201

TAAGTAATGT

GAATTGCAGA

ATTCAGTGAA

TCATCGAATC

TTTGAACGCA

251

CATTGCGCCC

GCCAGCATTC

TGGCGGGCAT

GCCTGTTCGA

GCGTCATTTC

301

AACCCTCGAC

TTCCCTTTGG

GGAATTCGGC

GTTGGGGGAC

CGGCAGCATA

351

CCGCCGGCCC

CGAAATGGAG

TGGCGGCCCG

TCCGCGGCGA

CCTCTGCGTA

401

GTAATCCAAC

CTCGCACCGG

AACCCCGACG

TGGCCACGCC

GTAAAACACC

451

CCACTTTCTG

AACGTTGACC

TCGGATCAGG

TAGGAATACC

CGCTGAACTT

501

AA

    
  1. (c)

    Contig-PasirKulon

1

GTAACAAGGT

CTCCGTTGGT

GAACCAGCGG

AGGGATCATT

ACAGAGTTTA

51

CAACTCCCAA

ACCCTTATGT

GAACATACCA

AGATGTTGCT

TCGGCGGACT

101

CGCCCCGGCG

TCCGGACGGC

CTAGCGCCGC

CCGCGGCCCG

GACTCAGGCG

151

GCCGCCGGAG

ACCACCAAAC

TCTTTTGTAT

CATGAGTATC

TTCTGAATCC

201

GCCGCAAGGC

AAAACAAATG

AATCAAAACT

TTCAACAACG

GATCTCTTGG

251

TTCTGGCATC

GATGAAGAAC

GCAGCGAAAT

GCGATAAGTA

ATGTGAATTG

301

CAGAATTCAG

TGAATCATCG

AATCTTTGAA

CGCACATTGC

GCCCGCCAGC

351

ATTCTGGCGG

GCATGCCTGT

TCGAGCGTCA

TTTCAACCCT

CGACTTCCCT

401

TTGGGGAAAT

CGGCGTTGGG

GGACCGGCAG

CATACCGCCG

GCCCCGAAAT

451

GGAGTGGCGG

CCCGTCCGCG

GCGACCTCTG

CGTAGTAATC

CAACCTCGCA

501

CCGGAACCCC

GACGTGGCCA

CGCCGTAAAA

CACCCCACTT

TCTGAACGTT

551

GACCTCGGAT

CAGGTAGGAA

TACCCGCTGA

ACTTAA

 
  1. (d)

    Cipete_ITS4

1

CGGCAGGGGC

TCCGTCCGCT

TCTCCCTATG

CGGAATATCA

CTACTTCCGC

51

AGGGGAGGCC

ACGACGGGTC

CGCCACTAGA

TTTAGGGGCC

GGCCGTCCCT

101

CGCGGGCGCT

GGCCGATCCC

CAACACCACG

CCCTAGGGGC

ATGAGGGTTG

151

AAATGACGCT

CAGACAGGCA

TGCCCGCCAG

AATACTGGCG

GGCGCAATGT

201

GCGTTCAAAG

ATTCGATGAT

TCACTGAATT

CTGCAATTCA

CATTACTTTT

251

CGCATTTCGC

TGCGTTCTTC

ATCGATGCCA

GAACCAAGAG

ATCCGTTGTT

301

GAAAGTTTTT

ATTTATTTGT

AAAAACGACT

CAGAAGATTC

TCAGTAAAAC

351

AAGAGTTAAG

GTCCCCCGGC

GGCCGCCTGG

ATCCGGGGCA

CGCAAGGCGC

401

CCGGGGCGAT

CCGCCGAAGC

AACGATAGGT

ATGTTCACAT

GGGTTTGGGA

451

GTTGTAAACT

CGGTAATGAT

CCCTCCGCTG

GTTCACCAAC

GGA

  1. (e)

    Cipete_ITS5

1

TCGTTGCTTC

GGCGGATCGC

CCCGGGCGCC

TTTGCGTGCC

CCGGATCCAG

51

GCGGCCGCCG

GGGGACCTTA

ACTCTTGTTT

TTACTGAGAA

TCTTCTGAGT

101

CGTTTTTACA

AATAAATAAA

AACTTTCAAC

AACGGATCTC

TTGGTTCTGG

151

CATCGATGAA

GAACGCAGCG

AAATGCGAAA

AGTAATGTGA

ATTGCAGAAT

201

TCAGTGAATC

ATCGAATCTT

TGAACGCACA

TTGCGCCCGC

CAGTATTCTG

251

GCGGGCATGC

CTGTCTGAGC

GTCATTTCAA

CCCTCATGCC

CCTAGGGCGT

301

GGTGTTGGGG

ATCGGCCAGC

GCCCGCGAGG

GACGGCCGGC

CCCTAAATCT

351

AGTGGCGGAC

CCGTCGTGGC

CTCCCCTGCG

AAGTAGTGAT

ATTCCGCATA

401

GGAGAGCGAC

GAGCCCCTGC

CGTTAAACCC

CCAACTTTCT

CAGGTTGACC

451

TCAGATCAGG

TAGGAATACC

CGCTGAACTT

A

 
  1. (f)

    Contig-Cipete

1

TCCGTTGGTG

AACCAGCGGA

GGGATCATTA

CCGAGTTTAC

AACTCCCAAA

51

CCCATGTGAA

CATACCTATC

GTTGCTTCGG

CGGATCGCCC

CGGGCGCCTT

101

TGCGTGCCCC

GGATCCAGGC

GGCCGCCGGG

GGACCTTAAC

TCTTGTTTTT

151

ACTGAGAATC

TTCTGAGTCG

TTTTTACAAA

TAAATAAAAA

CTTTCAACAA

201

CGGATCTCTT

GGTTCTGGCA

TCGATGAAGA

ACGCAGCGAA

ATGCGAAAAG

251

TAATGTGAAT

TGCAGAATTC

AGTGAATCAT

CGAATCTTTG

AACGCACATT

301

GCGCCCGCCA

GTATTCTGGC

GGGCATGCCT

GTCTGAGCGT

CATTTCAACC

351

CTCATGCCCC

TAGGGCGTGG

TGTTGGGGAT

CGGCCAGCGC

CCGCGAGGGA

401

CGGCCGGCCC

CTAAATCTAG

TGGCGGACCC

GTCGTGGCCT

CCCCTGCGGA

451

AGTAGTGATA

TTCCGCATAG

GGAGAAGCGG

ACGGAGCCCC

TGCCGTTAAA

501

CCCCCAACTT

TCTCAGGTTG

ACCTCAGATC

AGGTAGGAAT

ACCCGCTGAA

551

CTTAA

    
  1. (g)

    Papringan_ITS4

1

TAGTTGGGTG

TTTTACGGCG

TGGCCGCTTC

GATTTTCCCA

GTGCGAGGTA

51

AGTTACTACG

CAGAGGTCGC

CTCGAAGGGC

CGCCACTGAA

TTTCGGGGGC

101

GGCGTCCCAC

GCCCGGAGGC

GCGGGGCAGT

CTGCCGGTCC

CCAACACCGG

151

GCCGTCTTCC

GAAGAATCGG

GCCCGAGGGT

TGAAATGACG

CTCGAACAGG

201

CATGCCCGCC

AGAATGCTGG

CGGGCGCAAT

GTGCGTTCAA

AGATTCGATG

251

ATTCACTGAA

TTCTGCAATT

CACATTACTT

ATCGCATTTC

GCTGCGTTCT

301

TCATCGATGC

CAGAACCAAG

AGATCCGTTG

TTGAAAGTTT

TGATTCATTT

351

GTTTTTTGCC

TTTCGGCCAC

TCAGATAATG

CTGTAAAAAC

AATAAGAGTT

401

TGATACCCCC

GGCAGCGCCG

GAGCGCCGCC

GAAGCAACAA

GTGGTAAGTT

451

CACATAGGGT

TTGGGAGTTG

AATAAACTCG

ATAATGATCC

CTCCGCTGGT

501

TCACCAACGG

A

   
  1. (h)

    Papringan_ITS5

1

CCACTTGTTG

CTTCGGCGGC

GCTCCGGCGC

TGCCGGGGGT

ATCAAACTCT

51

TATTGTTTTT

ACAGCATTAT

CTGAGTGGCC

GAAAGGCAAA

AAACAAATGA

101

ATCAAAACTT

TCAACAACGG

ATCTCTTGGT

TCTGGCATCG

ATGAAGAACG

151

CAGCGAAATG

CGATAAGTAA

TGTGAATTGC

AGAATTCAGT

GAATCATCGA

201

ATCTTTGAAC

GCACATTGCG

CCCGCCAGCA

TTCTGGCGGG

CATGCCTGTT

251

CGAGCGTCAT

TTCAACCCTC

GGGCCCGATT

CTTCGGAAGA

CGGCCCGGTG

301

TTGGGGACCG

GCAGACTGCC

CCGCGCCTCC

GGGCGTGGGA

CGCCGCCCCC

351

GAAATTCAGT

GGCGGCCCTT

CGAGGCGACC

TCTGCGTAGT

AACTTACCTC

401

GCACTGGGAA

AATCGAAGCG

GCCACGCCGT

AAAACACCCA

ACTATTTTAA

451

GGTTGACCTC

GAATCAGGTA

GGACTACCCG

CTGAACTTAA

 
  1. (i)

    Contig-Papringan

1

TCCGTTGGTG

AACCAGCGGA

GGGATCATTA

TCGAGTTTAT

TCAACTCCCA

51

AACCCTATGT

GAACTTACCA

CTTGTTGCTT

CGCGGGCGCT

CCGGCGCTGC

101

CGGGGGTATC

AAACTCTTAT

TGTTTTTACA

GCATTATCTG

AGTGGCCGAA

151

AGGCAAAAAA

CAAATGAATC

AAAACTTTCA

ACAACGGATC

TCTTGGTTCT

201

GGCATCGATG

AAGAACGCAG

CGAAATGCGA

TAAGTAATGT

GAATTGCAGA

251

ATTCAGTGAA

TCATCGAATC

TTTGAACGCA

CATTGCGCCC

GCCAGCATTC

301

TGGCGGGCAT

GCCTGTTCGA

GCGTCATTTC

AACCCTCGGG

CCCGATTCTT

351

CGGAAGACGG

CCCGGTGTTG

GGGACCGGCA

GACTGCCCCG

CGCCTCCGGG

401

CGTGGGACGC

CGCCCCCGAA

ATTCAGTGGC

GGCCCTTCGA

GGCGACCTCT

451

GCGTAGTAAC

TTACCTCGCA

CTGGGAAAAT

CGAAGCGGCC

ACGCCGTAAA

501

ACACCCAACT

ATTTTAAGGT

TGACCTCGAA

TCAGGTAGGA

CTACCCGCTG

551

AACTTAA

    

Discussion

Based on the results of the sequences, isolate J22 showed (99.83%) similarity to the L. saksenae strains GFRS14 and L. saksenae isolate Ecu121. Isolate J35 had a similarity with the sequences Myrothecium sp. F129 and Myrothecium sp. 1 TMS-2011 amounted to 98.82 and 98.93%, while isolate J60 had 99.10% similarities to the sequence Simplicillium sp. LCM 845.01 and 98.92% with Simplicillium sp. KYK00024 sequence (Table 2).

Table 2 Results of the nearest fungi taxon BLAST homology ITS1, 5.8S, and ITS2 of rDNA in NCBI (https://www.ncbi.nlm.nih.gov/)

EPF isolates that showed high phylogenetic relationship and had a similarity value of 28S rDNA sequence of more than 99% with the reference species that could be expressed as one species. Ribosomal DNA sequences are used to identify and determine the phylogenetic relationships of organisms to taxa species (Bich et al. 2021). Based on the concept of phylogenetic species, it is stated that an organism is in one species when the difference in DNA sequences is between 0.2 and 1% (Shenoy et al. 2007). According to Henry et al. (2000) isolates, which have a similarity value of 100% can be stated as the same strain and a similarity value of 99% is stated as the same species, while the similarity value of 89–99% belongs to the same genus.

The similarity between 99 and 100% indicated that isolates J22, J34, and J60 each had the same chromosome number, genome size, and gene function as L. saksenae strain GFRS14 and L. saksenae strains isolate Ecu121, Myrothecium sp. F129, and Myrothecium sp. 1 TMS-2011 and Simplicillium sp. LCM 845.01 and Simplicillium sp. KYK00024, respectively.

The identification results based on morphological characters turned out to be different from molecular identification. Accuracy of identification is very important in the use of EPF for insect pest control. Identification based on morphological characters cannot be used as a definite reference. The genera Lecanicillium, Simplicillium, Beauveria, and Isaria have similar morphological characters, so that molecular identification is needed to determine the species certainty of EPF found in Banyumas Regency, Central Java Province, Indonesia. According to Lim et al. (2014) of the genus Lecanicillium, Simplicillium (both previously Verticillium spp.), Beauveria and Isaria belong to family Cordycipitaceae. According to Chen et al. (2016), the genus Myrothecium belongs to family Stachybotryaceae and has a worldwide distribution. Species in this genus were previously classified based on the asexual morphology, especially the characters of conidia and conidiophores. Morphology-based identification alone is imprecise because there are few characters to distinguish between species in the genus and, therefore, molecular sequence data are important in species identification.

Simplicillium sp. is one of the dominant genera of symbiont fungi in unfertilized brown planthopper eggs. The other 3 genera are Microdochium, Fusarium, and Cladosporium (Shentu et al. 2020). One of the species of the genus Simplicillium is S. lanosoniveum. The fungi belong to this genus are known as mycoparasites. However, silkworms (Bombyx mori) inoculated with the fungus isolate S. Lanosoniveum, died during the larval or pupal stage, as shown by the EPF, B. bassiana. The first report on the entomopathogenicity of S. lanosoniveum and demonstrated its potential for use in insect biological control was recorded by Lim et al. (2014). The fungus S. lanosoniveum was able to cause mortality of Hysteroneura setariae ticks on Plum plants by 86.33% (Chen et al. 2017a, b). Chen et al. (2019) found 3 new species, namely Simplicillium cicadellidae, S. formicidae, and S. lepidopterorum. So far, there are limited reports of the fungus Simplicillium sp. being isolated from insects infected with the fungus.

The fungus L. lecanii effectively controlled brown plant hoppers with a density of 1010 conidia/ml, where the mortality value of (78.33%) and a time of death at 5.81 day after treatment occurred (Khoiroh et al. 2014). L. lecanii can cause more than 50% of brown planthopper mortality within 14 days after treatment (Atta et al. 2020), whereas according to Shaikh and Pandurang (2015), this fungus is less effective in controlling this pest. Sankar and Rani (2018) have found a new Lecanicillium isolate, namely L. saksenae, which can control stink bug (Leptocorisa acuta). This fungus can kill 100% of L. acuta nymphs and imago at 72 h after treatment at conidia densities 107 and 108.

Myrothecium verrucaria has a high activity against extracellular insect cuticles and produces chitinase, proteinase, and lipase (Vidhate et al. 2015).

Based on the literature search, the 3 fungi Simplicillium sp., L. saksenae, and Myrothecium sp. have never been reported to infect brown plant hopper. Data obtained from the National Center for Biotechnology Information (https://www.ncbi.nlm.nih.gov/), also showed that these 3 fungi were not obtained from insect pests (Table 2). The results of this study revealed 3 types of new EPF that had the potential to be developed as control agents for brown plant hopper pests.

Conclusion

The results of molecular identification showed that the isolates J22, J34, and J 60 were fungi from L. saksenae, Myrothecium sp., and Simplicillium sp., respectively. The results of literature search showed that these 3 fungi had never been reported to infect brown plant hopper. So that the results of this study can be considered new finding of EPF as biological agents of the control brown plant hopper pests.

Availability of data and materials

All data are available in the article and the materials used in this work are of high quality and grade.

Abbreviations

BPH:

Brown plant hopper

BLAST:

Basic Local Alignment Search Tool

CTAB:

Cetyl trimethylammonium bromide

DNA:

Deoxyribonucleic acid

ITS:

Internal transcribed spacer

PCR:

Polymerase chain reaction

PDA:

Potato dextrose agar

PDB:

Potato dextrose broth

PEG:

Polyethilen Glycol

UV:

Ultraviolet

References

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Acknowledgements

The author would like to thank the Head of the Laboratory of Plant Protection, Faculty of Agriculture, Jenderal Soedirman Purwokerto University, The Biology Laboratory of Indonesian Academy of Sciences, and all those who have helped research and write this scientific article.

Funding

The author would like to thank the Directorate of Research and Community Service of the Ministry of Education and Culture of the Republic of Indonesia for funding this research through the Doctoral Dissertation Research Grant in 2020.

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EWM performed the experiments on bioassay and analyzed the data. The manuscript was prepared by EWM, LS, AS, and R. All the authors read and approved the manuscript.

Corresponding author

Correspondence to Endang Warih Minarni.

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Minarni, E.W., Soesanto, L., Suyanto, A. et al. Molecular identification of three entomopathogenic fungi infecting the brown plant hopper pest in Indonesia. Egypt J Biol Pest Control 31, 62 (2021). https://doi.org/10.1186/s41938-021-00412-7

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