QUANTITATIVE STUDY ON ANTI-PEST ACTIVITY OF NATURAL PRODUCTS BASED ON VISUALIZATION FRAMEWORK OF KNOWLEDGE GRAPH

doi:10.15302/J-FASE-2023488

Front. Agr. Sci. Eng.

REVIEW

Xing LI^1,^2,³, Chunyan GUO^2,^3,⁴, Yumei YAN¹, Lijuan LV⁵, Siqi LI¹, Wenxin GUO¹, Zhengnan LI⁶(

), Minhui LI^1,^2,^3,⁴(

)

¹. College of Pharmacy, Baotou Medical College, Baotou 014040, China
². Inner Mongolia Autonomous Region Hospital of Traditional Chinese Medicine, Hohhot 010110, China
³. Inner Mongolia Academy of Chinese and Mongolian Medicine, Hohhot 010010, China
⁴. College of Pharmacy, Qiqihar Medical University, Qiqihar 161000, China
⁵. Department of Basic Science, Tianjin Agricultural University, Tianjin 300384, China
⁶. Agricultural College, Inner Mongolia Agricultural University, Hohhot 010110, China

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Abstract

● Using visual analysis to predict the trend of natural product pest resistance.

● Summarized the anti-insect activity and mechanism of natural products.

● Natural compounds insecticide will be the general trend.

To help in the prevention of large-scale loss of agricultural production caused by crop pests, a visual analysis was performed on the main research areas, key countries, organizational cooperation, citation sources and current trends in pest research by searching the literature of Web of Science database and using CiteSpace 5.8.R3 and VOSviewer 1.6.18 software. Additionally, the effects and mechanisms of natural products with anti-insect activity were summarized through visual analysis. According to the bibliometric analysis, keywords such as mortality (232 occurrences), natural enemy (232 occurrences) and spinosad (110 occurrences) were common, and insecticides and natural enemies of pests were the main methods for killing pests. However, pesticide use exhibits numerous limitations. Co-occurring terms in visualization analysis mainly included residue (193 occurrences), detection (153 occurrences), degradation (133 occurrences), recovery (103 occurrences), pyrethroid (97 occurrences) and pesticide residues (65 occurrences). Thus, pesticides cannot fundamentally solve food security; pesticides also pollute the environment and endanger human health. Therefore, green and efficient pesticides that can replace synthetic pesticides are urgently needed. Natural products have recently gained attention in Brazil, China, the USA and other countries because they are green and pollution-free, and new natural pesticides have been developed. This visual analysis combined data mining with literature review and summarize the anti-pest activities and mechanisms of action of natural products. This information provides a foundation and ideas for researchers to study the application and development of natural products in pest control.

Keywords anti-pest activity crop protection insect pest natural product visual analysis

Corresponding Author(s): Zhengnan LI,Minhui LI

About author:

*These authors equally shared correspondence to this manuscript.

Just Accepted Date: 31 March 2023 Online First Date: 06 May 2023

Cite this article:

Xing LI,Chunyan GUO,Yumei YAN, et al. QUANTITATIVE STUDY ON ANTI-PEST ACTIVITY OF NATURAL PRODUCTS BASED ON VISUALIZATION FRAMEWORK OF KNOWLEDGE GRAPH[J]. Front. Agr. Sci. Eng. , 06 May 2023. [Epub ahead of print] doi: 10.15302/J-FASE-2023488.

URL:

https://academic.hep.com.cn/fase/EN/10.15302/J-FASE-2023488
https://academic.hep.com.cn/fase/EN/Y/V/I/0

Fig.1 High-frequency keywords in the research of natural compounds to control crop pests. Node size represents the strength of keywords and the links represent the connection between these keywords. (a) Density visualization of keywords. Orange and green areas represent frequent and infrequent keywords, respectively. Keywords are visualized using color changes from purple to yellow. A color closer to yellow indicates greater research attention, indicating a key research frontiers. (b) Overlay visualization of keywords. A larger value leads to a more yellow color, indicating a key research frontiers. (c) Network visualization of keywords, with different colors representing different clusters. (d) Prepared using CiteSpace 5.8.R3, showing the top 10 keywords. A larger circle displayed by keywords indicates a higher frequency of occurrence. The distance between keywords is positively correlated with the degree of closeness between them. Images (a?c) were prepared using VOSviewer1.6.18.

Fig.2 Research on natural compounds in crop pest control countries (node size represents keyword intensity; links represent connections between these keywords). (a) Density of each country. Yellow and green areas represent frequent and less frequent countries, respectively; a yellower background color indicates a higher frequency of the study area. (b) Country coverage visualization. A larger number leads to a redder color, indicating that the country is closer to the forefront of research. (c) Network visualization of countries. Different colors represent different clusters, and research areas of countries covered by the same color are more similar. (d) Top ten countries. A larger value is shown as a larger circle, indicating that research in this field is more widely conducted in the corresponding country. VOSviewer1.6.18 was used for drawing images (a–c) and CiteSpace 5.8 for image (d).

Fig.3 Cited sources and organizations of natural compounds in crop pest control. The node size represents the strength of cited sources and organizations and the links represent the connection between these cited sources and organizations. (a) Density visualization of cited sources. The red area represents highly cited sources, and the blue area represents less cited sources. (b) Network visualization for cited sources, with different colors representing different clusters. (c) Density visualization of organizations. The yellow area represents highly cited sources, and the purple area represents less cited sources. (d) Network visualization for organizations, with different colors representing different clusters. VOSviewer 1.6.18 was used for drawing images (a?d).

Fig.4 Top 20 keywords with the strongest citation bursts. Year, year of study initiation; begin, year in which the strongest citation burst keyword begins; end, year in which an strongest citation burst keyword end; red bar, strongest citation burst keyword occurring during this time period; and blue bar, opposite of red.

Natural product		Compound name	Source	Control target	Insecticidal activity	Positive control	Insecticidal activity	Reference
1	Terpenoids	Azadirachtin	Azadirachta indica A. Juss.	Tirathaba rufivena	LC₅₀ 28.8 mg·L^?1	?	?	[140]
2		Rhodojaponin-III	Rhododendron molle	Spodoptera litura	LC₅₀ 125 μg·mL^?1	Toosendanin	LC₅₀ 250 μg·mL^?1	[116]
3		Laurinterol	Laurencia nidifica	Reticulitermes speratus	LD₅₀ 2.20 μg per insect	Rotenone	LD₅₀ 0.11 μg per insect	[113]
4		Curcuphenol	Didiscus oxeata	Spodopteralittoralis	EC₅₀ 15.8 μg·cm^?2	Thymol	EC₅₀ 23.9 μg·cm^?2	[141]
5		10-Hydroxy-11-methoxy-dihydrocurcuphenol	Didiscus oxeata	Spodopteralittoralis	EC₅₀ 15.8 μg·cm^?2	Thymol	EC₅₀ 23.9 μg·cm^?2	[141]
6		Hydroxycolorenone	Nephthea chabrolii	Spodopteralittoralis	LC₅₀ 8.8 mg·L^?1	?	?	[142]
7		Methoxycolorenone	Nephthea chabrolii	Spodopteralittoralis	LC₅₀ 15.6 mg·L^?1	?	?	[142]
8		Chabrolene	Coral nephthea	Sitophiluszeamais	EC₅₀ 12.5 μg·cm^?2	?	?	[143]
9		3,4-Dihydroxybenzoic acid	Holothuria atra	Spodopteralitura	LC₅₀ 6.01 mg·mL^?1	?	?	[144]
10		4-Hydroxy-3-methoxy-benzaldehyde	Holothuria atra	Spodopteralitura	LC₅₀ 17.01 mg·mL^?1	?	?	[144]
11		Sporyzin A	Aspergillus oryzae	Artemia salina	61.9% mortality at 100 mg·L^?1	Huperzine A	98% mortality	[145]
12		Sporyzin B			42.9% mortality at 100 mg·L^?1
13		Sporyzin C			32.8% mortality at 100 mg·L^?1
14		JBIR-03			74.2% mortality at 100 mg·L^?1
15		Emindole SB			60.3% mortality at 100 mg·L^?1
16		Emeniveol			31.4% mortality at 100 mg·L^?1
17	Alkaloids	Coclaurine	Discaria chacaye	Drosophila melanogaster	LD₅₀ 78.2 μg·mL^?1	?	?	[146]
18		Boldine	Talguenea quinquenervia		LD₅₀ 70.8 μg·mL^?1	?	?
19		Pukateine	Peumus boldus		LD₅₀ 70.9 μg·mL^?1	?	?
20		Sophocarpine	Sophora alopecuroides	ACP	50 mg·mL^?1	N,N-Diethyl-meta-toluamide	30 mg·mL^?1	[83]
21		Sophoridine	Sophora alopecuroides	ACP	70 mg·mL^?1	N,N-Diethyl-meta-toluamide	30 mg·mL^?1	[83]
22		Curviflorain A	Corydalis curviflora Maxim.	Culex pipiens pallens, Aedes albopictus	LC₅₀ 15.9 μg·mL^?1, LC₅₀ 8.42 μg·mL^?1	Pyrethrin	LC₅₀ 4.36 μg·mL^?1, LC₅₀ 3.54 μg·mL^?1	[82]
23		Curviflorain B			LC₅₀ 16.1 μg·mL^?1, LC₅₀ 15.5 μg·mL^?1
24		Ambiguanine A			LC₅₀ 50.1 μg·mL^?1, LC₅₀ 86.0 μg·mL^?1
25		1,1-Dimethyl-6-methoxy-7-hydroxyl-1,2,3,4-tetrahydroisoquinoline			LC₅₀ 52.1 μg·mL^?1, LC₅₀ 76.9 μg·mL^?1
26		Hendersine B			LC₅₀ 23.3 μg·mL^?1, LC₅₀ 31.0 μg·mL^?1
27		Coryximine			LC₅₀ 54.29 μg·mL^?1, LC₅₀ 94.3 μg·mL^?1
28		Isochotensine			LC₅₀ 92.4 μg·mL^?1, LC₅₀ 99.8 μg·mL^?1
29		Bruceine D	Brucea Javanica (L.) Merr.	Plutella xylostella, Spodoptera exigua Hübner, Spodoptera litura Fabricius	Antifeedant effects 93.8%	Azadirachtin	Antifeedant effects 22.6%	[84]
30		Anisodine	Anisodus tanguticus (Maxim.) Pascher	Brevicoryne brassicae	LC₅₀ 3.16 mg·mL^?1	Rotenone	LC₅₀ 0.400 mg·mL^?1	[147]
31				Rhopalosiphum padi	LC₅₀ 3.67 mg·mL^?1		LC₅₀ 1.18 mg·mL^?1
32				Myzus persicae	LC₅₀ 4.16 mg·mL^?1		LC₅₀ 0.566 mg·mL^?1
33				Aphis craccivora	LC₅₀ 0.495 mg·mL^?1		LC₅₀ 0.617 mg·mL^?1
34				Aphis gossypii	LC₅₀ 0.429 mg·mL^?1		LC₅₀ 0.436mg·mL^?1
35				Sitobion miscanthi	LC₅₀ 0.881 mg·mL^?1		LC₅₀ 1.03 mg·mL^?1
36		Anisodamine		Brevicoryne brassicae	LC₅₀ 1.32 mg·mL^?1		LC₅₀ 0.400 mg·mL^?1
37				Rhopalosiphum padi	LC₅₀ 1.64 mg·mL^?1		LC₅₀ 1.18 mg·mL^?1
38				Myzus persicae	LC₅₀ 0.846 mg·mL^?1		LC₅₀ 0.566 mg·mL^?1
39				Aphis craccivora	LC₅₀ 1.95 mg·mL^?1		LC₅₀ 0.617 mg·mL^?1
40				Aphis gossypii	LC₅₀ 0.404 mg·mL^?1		LC₅₀ 0.436 mg·mL^?1
41				Sitobion miscanthi	LC₅₀ 1.164 mg·mL^?1		LC₅₀ 1.030 mg·mL^?1
42		Aloperine	Sophora alopecuroides	Bursaphelenchus xylophilus	Inhibition of reproduction 100%	?	?	[148]
43		Caulerpin	Caulerpa racemosa	Culex pipiens	LC₅₀ 0.86 mg·L^?1	Malathion	LC₅₀ 1.00 mg·L^?1	[149]
44		Caulerpinic acid	Caulerpa racemosa	Culex pipiens	LC₅₀ 1.69 mg·L^?1	Malathion	LC₅₀ 1.00 mg·L^?1	[149]
45		Hymenialdisine	Axinella carteri	Spodopteralittoralis	LD₅₀ 88 mg·L^?1	Precocene II	LD₅₀ 275 mg·L^?1	[150]
46		Debromohymenialdisine	Axinella carteri	Spodopteralittoralis	LD₅₀ 125 mg·L^?1	Precocene II	LD₅₀ 275 mg·L^?1	[150]
47		Manzamine A	Xestospongia ashmorica	Spodopteralittoralis	ED₅₀ 35 mg·L^?1	?	?	[151]
48		Amphitoxin	Amphimedoncompressa	Cylasformicarius	30% mortality at 1.2 mg·L^?1	?	?	[152]
49		Gelastatin A	Cymbastela sp.	Spodopteraexigua	LC₅₀ 20.3 mg·L^?1	Javelin WG	LC₅₀ 12 mg·L^?1	[153]
50		Gelastatin C	Cymbastela sp.	Spodopteraexigua	LC₅₀ 200 mg·L^?1	Javelin WG	LC₅₀ 12 mg·L^?1	[153]
51		Swinhoeiamide A	Theonella swinhoei	Spodopteralittoralis	LC₅₀ 2.98 mg·L^?1	?	?	[154]
52		Nortopsentin A	Spongosoritesruetzleri	Culex pipiens pallens	100% mortality at 10 mg·L^?1	Rotenone	100% mortality	[155]
53		Nortopsentin B			100% mortality at 10 mg·L^?1
54		Nortopsentin C			70% mortality at 10 mg·L^?1
55		Nortopsentin D			40% mortality at 10 mg·L^?1
56		Altemicidin	Streptomycessioyaensis	Artemia salina	LC₅₀ 3 mg·L^?1	Polynactin	LC₅₀ 4 mg·L^?1	[115]
57		Communesin B	Penicillium sp.	Bombyx mori	LD₅₀ 5 μg·g^?1	?	?	[156]
58		Communesin E	Penicillium sp.	Bombyx mori	LD₅₀ 80 μg·g^?1	?	?	[156]
59		Cristatumin B	Eurotium cristatum EN220	Artemia salina	LD₅₀ 74.4 μg·g^?1	?	?	[157]
60		Isoechinulin A			LD₅₀ 16.9 μg·g^?1	?	?
61		Variecolorin G			LD₅₀ 42.6 μg·g^?1	?	?
62		Cyclopentanepropanoic acid, 3,5-bis(acetyloxy)-2-(3-(methoxyimino)octyl),methyl ester	Streptomyces-VITSTK7 sp.	Culexquinquefasciatus	LC₅₀ 430.06 mg·L^?1	?	?	[158]
63		5-Azidomethyl-3-(2-ethoxycarbonyl-ethyl)-4-ethoxycarbo-nylmethyl-1H-pyrrole-2-carboxylic acid,ethyl ester	Streptomyces-VITSTK7 sp.	Culexquinquefasciatus	LC₅₀ 881.59 mg·L^?1	?	?	[158]
64		Chloramphenicol D1	Acremoniumvitellinum	Helicoverpaarmigera	LC₅₀ 930 mg·L^?1	Matrine	LC₅₀ 240 mg·L^?1	[159]
65		Chloramphenicol D2			LC₅₀ 560 mg·L^?1
66		Chloramphenicol D3			LC₅₀ 910 mg·L^?1
67		Okalaminei B	Aspergillus sp.	Spodopteraexigua	LD₅₀ 0.2 μg·g^?1	?	?	[160]
68	Flavonoids	Rotenone	Derris trifoliata Lour.	Derris trifoliata Lour.	LC₅₀ 9.51 mg·L^?1	?	?	[102]
69		Quercetin dihydrate	Rice	Eriosoma lanigerum	Mortality at 85.00%	Imidacloprid	Mortality at 88.3%	[103]
70		Naringin			Mortality at 86.7%
71		Rutin hydrate			Mortality at 93.3%
72		Neochamaejasmine A	Stellera chamaejasme	Aphidoidea	Rate of population decline 74.1%	Imidacloprid	Rate of population decline 71.1%	[104]
73		Quercetin	Hypericum ascyron	Calliptamus abbreviatus	Survival rate 42.3%	?	?	[140]
74	Others	Curcumin	Curcuma longa	Tetranychus cinnabarinus Boisduval	LC₅₀ 3060 mg·L^?1	Spirodiclofen	LC₅₀ 661 mg·L^?1	[161]
75		Matrine	Sophora flavescens		EC₅₀ 238 μg·mL^?1
76		Emodin	Cassia nigricans	Anopheles gambiaea	LC₈₅ 50 μg·mL^?1	?	?	[162]
77		Emodin	Cassia nigricans	Bemisia tabaci	LC₈₅ 25 μg·mL^?1	?	?	[162]
78		Penicixanthenes A	Ceriops tagal	Culex quinquefasciatus	LC₅₀ 38.5 μg·mL^?1	Azadirachtin	LC₅₀ 8.8 μg·mL^?1	[163]
79		Penicixanthenes B			LC₅₀ 80 μg·mL^?1
80		Penicixanthenes C			LC₅₀ 11.6 μg·mL^?1
81		Penicixanthenes D			LC₅₀ 23.5 μg·mL^?1

Tab.1 Natural products with anti-crop insect pests activities

Fig.5 Natural products with anti-crop insect pests activities.

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