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Phom C, Somasundaram J. Molecular Identification of the Diversity of Insects, Spiders, Lizards, Birds and Mammals of Tuensang District, Nagaland, India. Biotech Res Asia 2024;21(1).
Manuscript received on : 29-08-2023
Manuscript accepted on : 15-03-2024
Published online on:  25-03-2024

Plagiarism Check: Yes

Reviewed by: Dr. Neha Jamwal

Second Review by: Dr. Eric M. Hallerman

Final Approval by: Dr Amr Salah Morsy Amine Selem

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Molecular Identification of the Diversity of Insects, Spiders, Lizards, Birds and Mammals of Tuensang District, Nagaland, India

Chaueichongla Phom1and Jeyaparvarthi Somasundaram2*

Department of Zoology, St. Joseph University, Dimapur, India

corresponding Author E-mail:jeya5001@gmail.com

DOI : http://dx.doi.org/10.13005/bbra/3199

ABSTRACT: DNA barcoding is a method of species identification that revolutionized the way we study and understand biodiversity. With advancements in molecular genetics and DNA sequence archives, it has become possible to use short DNA sequences to identify species, even when the specimens are difficult to distinguish by traditional morphological methods. In this article, we explore the utility of DNA barcoding in the Tuensang ecosystem of Nagaland, India and evaluate its effectiveness for species identification, informing ongoing conservation of populations and species. A total of 62 species, which included insects, spiders, lizards, birds and mammals, were collected from Tuensang areas of northeast India and identified using DNA barcodes. DNA was extracted from muscle tissue and PCR was done with two pairs of primers targeting the mitochondrial COI gene. Sanger sequencing was employed and the obtained sequences were analysed to identify the species and reconstruct the evolutionary relationships amongst them. Our results provided molecular characterization of species from Tuensang areas of Nagaland for the first time.

KEYWORDS: Biological resources; COI; DNA barcoding; Evolutionary relationship; Extinction; Sanger sequencing

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Introduction

“Biodiversity” refers to the variety of living organisms from all sources, including terrestrial, marine, and other aquatic ecosystems as well as the ecological complexes to which they belong. At the same time, the presence of various faunal genetic resources located in any region or country is a component of animal biodiversity. Genetic diversity is the basis for a population to evolve and adapt to rapid changes in the environment25. Today’s biodiversity provides the opportunity for sustaining vital environmental services that support life on Earth. Therefore, it is crucial to prioritise species protection and sustainable use. The identification of species paves the way to a deeper understanding of evolutionary processes among varied animal lineages by recording information on patterning and the range of variation.

Various methods have been developed over the decades for the characterization of wild animals which are largely categorized into phenotypic, biochemical and molecular markers. The history of taxonomy and evolutionary research is rooted in the study of morphology. For many years, the classification of species has been most heavily influenced by morphology in its widest meaning, which includes all expressions of structure and form. Morphology was used as a fundamental organising principle to arrange an apparently chaotic variety of living forms into higher (“macrotaxonomic”) levels initially17. Recently, the DNA barcoding approach based on the cytochrome c oxidase subunit I (COI) gene present in mitochondrial DNA has become adopted as a global biological identification method for all species due to its accuracy when compared to existing classical taxonomic methods21. This approach uses DNA extraction, sequencing and barcoding for genomic characterisation8, and it has become as an efficient and reliable tool for identifying, confirming and resolving closely related taxa19. Molecular techniques are increasingly employed in conservation of biological diversity in response to the alarming extinction of different species. Therefore, many conservation geneticists study genetic markers to make decisions for conservation of endangered wild animals. Here, choosing of effective profiling technique is a very critical step, as incorrect data on molecular information may result in incorrect conservation actions29. In this regard, the application of both karyotypes and molecular genetic markers to conserve wild animals has been put into practice24. Identification and characterization of species are two important steps towards crafting sustainable conservation strategies for wild animals. Studying genetic diversity within and between populations, estimation of effective population size and assessment of possible bottlenecks are practices carried out for characterization of wild animal populations.

Molecular characterization is based on studies of both mitochondrial DNA (mtDNA) and nuclear DNA1. In recent years, advances in molecular techniques have encouraged the application of simple and precise DNA analysis in the taxonomic field. Among the existing genome-based approaches, DNA barcoding stands as a robust strategy to identify existing species and to discover unknown species through comparative analysis of sequence variation2,18. Extensive research has shown that DNA barcoding can identify a wide range of animal species, including mammals, reptiles, birds, fishes, amphibians and crustaceans12,28,30. The classification and identification of various life forms, particularly insects have been a major challenge to the scientific community especially with the dwindling interest and funding for taxonomy16. DNA barcoding provides an alternative approach, allowing expedited examination of species richness of all animal lineages at comparatively low cost. Its capacity to enhance progress depends on the fact that members of most species form a distinct barcode cluster7,22,23; this relationship has now been operationalized for large-scale surveys by allotting a barcode index number (BIN)9,20.

There has never been a molecular marker-based study of native faunal species of Tuensang areas of northeast India. Hence, our study aimed to characterize the diversity of animals from these areas using the DNA barcoding technique. Further, the inherent phylogenetic relationships present among those organisms were analyzed. The main objective of this study was to develop a reference library with generated barcodes.

Materials and methods

Study area

One of Nagaland’s largest and most eastern districts is Tuensang, Northeast India. The district of Tuensang covers 4,228 square kilometres and can be found at latitude of 26º 14ʹ 8.67ʺN and longitude of 94º 48ʹ 47.47ʺE, with elevations ranging from 800 to 3500m above mean sea level.          

Figure 1: Map of Tuensang District, Nagaland, India.    

 

Click here to view Figure

Species collection

For molecular characterization, animal species were collected from selected areas of Tuensang district, Nagaland, viz., Tuensang town, Tuensang village, Hakchang village, Helipong village, Ngangpong village, Sangchen compound village, Chendang village, Chingmei village and Momching village. Field research was conducted in this study area to collect the species from forest and agricultural field habitats using different techniques, such as hand collection, pitfall trap, sweep netting, snares, catapults, and air guns. The collected animal tissues were immediately stored in 100% ethanol. For carrying out this research work, a consent letter was obtained from the community leader of the district. The study was conducted from 2019 to 2022.

DNA isolation

The extraction of DNA from collected animal tissue was performed using the Qiagen Tissue Kit following the manufacturer’s protocol. 100 mg of tissue sample was mixed with 180μl of ATL buffer, 20μl of Proteinase K, vortexed, and incubated at 60°C in a dry bath for 4 hours. 200μl of AL buffer was added and mixed in, followed by a 20-minute incubation at 60°C. 200μl of ethanol was poured and put to a DNA silica column for 1 minute of spinning at 12000 rpm. 700 μl of AW1 washed twice, with the AW2 buffer spinning at 12000 rpm for 1 minute. By adding elution buffer to 20 μl of DNA, DNA was eluted and measured using the 1% agarose gel electrophoresis technique.

PCR Amplification and Gel purification

PCR amplification of the isolated DNA samples was done using universal COI primers26. The amplification reaction was performed in 25 μl reaction mixtures with DNA template of 40-80ng. The reaction mixture included 1μl of both forward and reverse primers and 25μl of the master mix containing 1μl dNTPs, 0.5μl Taq DNA polymerase (Barcode Biosciences), 5μl 10x buffer and 14.5μl distilled water. The primers were standard primers available for COI gene amplification, as below:

COIF-    GGTCAACAAATCATAAAGATATTGG-    Tm   510C  and

COIR- TAAACTTCAGGGTGACCAAAAAATCA- Tm 530C. The PCR amplification conditions included an initial denaturation step at 94ºC for 3.5 minutes, 60ºC for 30 seconds, and 72ºC for 1 minute for 35 cycles. On a 1% agarose gel electrophoresis stained with ethidium bromide, PCR product quality was examined.

Sanger Sequencing

An Applied Biosystems 3130xl Genetic Analyzer was used to carry out bidirectional sequencing of PCR products at BioEdge Solutions, Bangalore, India. The data from the sequencing machine was collected and processed in Finch TV (https://finchtv.software.informer.com/1.4/). The obtained electropherogram files were analysed for base-calling peaks in ABI format, which was further converted to pdf and fasta files using Sequence Scanner 2 Software (https://sequence-scanner-software.software.informer.com/2.0/). The sequence data obtained during this study were subjected to NCBI-BLAST in the nucleotide database of GenBank (http://blast.ncbi.nlm.nih.gov/) to identify closely related species.

Construction of phylogenetic tree

To comprehend the link between unknown sequences and relevant top species found by NCBI-BLAST, all the sequences were aligned using the Clustal Omega software ((https://www.ebi.ac.uk/Tools/msa/clustalo/). In this manner, phylogenetic trees were created informing us of the evolutionary relationships among closely related species.

Results and Discussion

DNA barcodes provided a quick, accurate and affordable way to identify species, even those that are challenging to differentiate based on morphology or life stage. A total of 62 species, which included animals belonging to different classes, such as Insecta, Arachnida, Reptilia, Aves and Mammalia, were identified using DNA barcoding technique for the first time from the study areas of Tuensang, Nagaland. The sequences obtained from samples were submitted to GenBank, and their accession numbers and sequence lengths are reported in Table 1. Among 62 sequences, 8 COI sequences that were previously unknown were added to the GenBank database. These sequences species were Cettia brunnifrons (Hodgson, 1845), Psilopogon virens (Boddaert, 1789), Megalaima franklinii (Blyth, 1842), Turdus boulboul (Latham, 1790), Hypsipetes leucocephalus (Gmelin, JF, 1789), Sitta formosa (Blyth, 1843), Oriolus traillii (Vigors, 1832) and Hypsipetes thompsoni (Bingham, 1900).  These accession numbers include: OQ920217, OQ920214, OQ920218, OQ920219, OQ780819, OQ920213, OQ920220 and OQ780820, respectively.

Table 1: Details of accession numbers and amplicon sequence length of insects, spiders, lizards, birds and mammals taken for molecular study.

S.no

Common name

Scientific name

       Family

Accession numbers obtained for each samples

Sequence length

*IUCN 3.1

1

Red-whiskered bulbul bird

Pycnonotus jocosus

Pycnonotidae

OQ874330

623 bp

Least concern

2

Indian scops owl

Otus bakkamoena

Strigidae

OQ821222

642 bp

Least concern

3

Streak-throated barwing bird

Actinodura waldeni

Leiothrichidae

OQ874334

608 bp

Least concern

4

Scaly thrush bird

Zoothera dauma

Turdidae

OQ821223

639 bp

Least concern

5

Blyth’s tragopan

Tragopan blythii

Phasianidae

OQ874335

655 bp

Vulnerable

6

Mountain bamboo partridge bird

Bambusicola  fytchii

Phasianidae

OQ874336

616 bp

Least concern

7

Red-faced liocichla bird

Liocichla phoenicea

Leiothrichidae

OQ874338

609 bp

Least concern

8

Mrs. Gould’s sunbird

Aethopyga gouldiae

Nectariniidae

OQ874339

632 bp

Least concern

9

Red-vented bulbul bird

Pycnonotus cafer

Pycnonotidae

OQ821233

652 bp

Least concern

10

Beautiful nuthatch bird

Sitta  formosa

Sittidae

OQ920213

624 bp

Vulnerable

11

Great barbet bird

Psilopogon  virens

Megalaimidae

OQ920214

648 bp

Least concern

12

kalij pheasant bird

Lophura leucomelanos

Phasianidae

OQ920215

640 bp

Least concern

13

Grey-sided bush warbler bird

Cittia brunnifrons

Cettiidae

OQ920217

621 bp

Least concern

14

Golden-throated Barbet bird

Magalaima franklinii

Megalaimidae

OQ920218

645 bp

Least concern

15

Grey-winged blackbird

Turdus boulboul

Turdidae

OQ920219

624 bp

Least concern

16

Maroon oriole

Oriolus traillii

Oriolidae

OQ920220

659 Bp

Least concern

17

Black bulbul bird

Hypsipetes leucocephalus

Pycnonotidae

OQ780819

632 bp

Least concern

18

White-headed bulbul bird

Hypsipetes thompsoni

Pycnonotidae

OQ780820

624 bp

Least concern

19

Orange-bellied leafbird

Chloropsis hardwickii

Chloropseidae

OQ780821

654 bp

Least concern

20

Rufous-breasted antthrush bird

Formicarius rufipectus

Formicariidae

OQ780843

620 bp

Least concern

21

Spotted linsang

Prionodon pardicolor

Prionodontidae

OQ874331

646 bp

Least concern

22

Masked palm civet

Paguma larvata

Viverridae

OQ874332

626 bp

Least concern

23

Southern red muntjac

Muntiacus muntjak

Cervidae

OQ874333

623bp

Least concern

24

Northern flying squirrel

Glaucomys sabrinus

Sciuridae

OQ821224

652 bp

Least concern

25

Swinhoe’s striped squirrel

Tamiops swinhoei

Sciuridae

OQ821225

657 bp

Least conncern

26

Sambar deer

Rusa unicolor

Cervidae

OQ874337

624 bp

Vulnerable

27

Himalayan striped squirrel

Tamiops mcclellandii

Sciuridae

OQ920212

624 bp

Least concern

28

Orange-bellied Himalayan squirrel

Dremomys lokriah

Siuridae

OQ920216

624 bp

Least concern

29

Tanezumi rat

Rattus tanezumi

Muridae

OQ780822

623bp

Least concern

30

Big brown bat

Eptesicus fuscus

Vespertilionidae

OQ780827

613 bp

Least concern

31

Cave myotis bat  

Myotis velifer

Vespertilionidae

OQ780828

620 bp

Least concern

32

Spotted forest skink

Sphenomorphus maculatus

Scincidae

OQ780823

619 bp

Not evaluated

33

Farooq’s garden lizard

Calotes farooqi

Agamidae

OQ780824

626 bp

Not evaluated

34

Giant Golden Orbweaver spider

Nephila  pilipes

Araneidae

OQ780848

631 bp

Least concern

35

Cape Rainspider

Palystes castaneus

Sparassidae

OQ821217

648 bp

Not evaluated

36

Joro spider

Trichonephila clavata

Araneidae

OQ821219

658 bp

Least concern

37

Kogane-gumo spider

Argiope amoena

Araneidae

OQ821220

658 bp

Not evaluated

38

Brown widow spider

Latrodectus geometricus

Theridiidae

OQ780838

617 bp

Not evaluated

39

Ant

Platythyrea punctata

Formicidae

OQ780845

619 bp

Not evaluated

40

Ant

Messor ebeninus

Formicidae

OQ780846

612bp

Not evaluated

41

Common sailor butterfly

Neptis hylas

Nymphalidae

OQ821228

658 bp

Not evaluated

42

Gypsy moth

Lymantria dispar

Erebidae

OQ821229

654 bp

Not evaluated

43

Small ant

Tapinoma sessile

Formicidae

OQ780847

624 bp

Not evaluated

44

Common batwing butterfly

Atrophaneura varuna

Papilionidae

OQ821232

658 bp

Least concern

45

Tropical  swallowtail moth

Lyssa zampa

Uraniidae

OQ825991

658 bp

Not evaluated

46

Giant peacock moth

Saturnia pyri

Saturniidae

OQ825992

658 bp

Not evaluated

47

Brown tussock moth

Olene mendosa

Erebidae

OQ825993

658 bp

Not evaluated

48

Thief ant

Solenopsis molesta

Formicidae

OQ825994

576 bp

Not evaluated

49

Northern warrior wasp

Synoeca septentrionalis

Vespidae

OQ780849

626 bp

Least concern

50

Giant Asian mantis

Hierodula patellifera

Mantidae

OQ825995

658 bp

Not evaluated

51

Common hairy caterpillar

Spilarctia obliqua

Erebidae

OQ825989

658 bp

Least concern

52

Kaempfer cicada

Platypleura kaempferi

Cicadidae

OQ825986

685 bp

Not evaluated

53

Giant shield bugs

Pycanum  ochraceum

Tessaratomidae

OQ825985

630 bp

Not evaluated

54

Shield bugs

Pentatoma metallifera

Pentatomidae

OQ825983

641 bp

Not evaluated

55

Leopard lacewing butterfly

Cethosia cyane

Nymphalidae

OQ825990

642 bp

Not evaluated

56

Black soldier fly

Hermetia illucens

Stratiomyidae

OQ825987

658 bp

Not evaluated

57

Silver- spotted skipper butterfly

Epargyreus clarus

Hesperiidae

OQ825988

658 bp

Least concern

58

Cicada

Okanagana rimosa

Cicadidae

OQ780833

624 bp

Not evaluated

59

Grasshopper

Dociostaurus maroccanus

Acrididae

OQ780836

590 bp

Not evaluated

60

Tobacco grasshopper

Atractomorpha crenulata

Pyrgomorphidae

OQ780837

597 bp

Not evaluated

61

Southern green stink bug

Nezara viridula

Pentatomidae

OQ825984

658 bp

Least concern

62

Florida woods cockroach

Eurycotis floridana

Blattidae

OQ780841

630 bp

Not evaluated

*Consevation status

The species identified included, 20 birds, 11 mammals, 5 spiders, 2 lizards and 24 insects. From the present studied locations, Tragopan blythii (Jerdon, 1870), Sitta formosa (Blyth, 1843) and Rusa unicolor (Kerr, 1792) were reported and declared as Vulnerable species by IUCN.3.1 (Red List, 1964). These species are declining due to overexploitation, traditional Jhum shifting cultivation and hunting activities.

Figure 2: Insects species from study areas identified using molecular markers.

 

Click here to view Figure

 

Figure 3: Spiders species from study areas identified using molecular markers.             

 

Click here to view Figure

 

Figure 4: Lizards and birds species from study areas identified using molecular markers.

 

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Figure 5: Mammals species from study areas identified using molecular markers.                        

 

Click here to view Figure

 

Figure 6: The evolutionary relationships of: a, insects and spiders; b, birds; and c, mammals and lizards taken for molecular study.                           

 

Click here to view Figure

All the DNA barcoding sequences were aligned and used to create phylogenetic trees informing us of the evolutionary relationships among closely related species, as shown in Figure 5. Extensive research has shown that DNA barcoding can identify a wide range of animal species such as mammals, reptiles, birds, fishes, amphibians and crustaceans12,28,30. One of the most effective and advanced methods for identifying insects is DNA barcoding, which uses the mitochondrial gene cytochrome c oxidase I (COI) sequence as a DNA identifier10. The sequences discovered will help to clarify the evolutionary history, for example, of spider mites and will enable quick species identification using molecular methods11. DNA barcodes cannot replace the need for taxonomists, but DNA barcodes provide an additional suite of characters that can be used in taxonomy, assisting identification of species by non-specialists with accurate identification of their specimens. When it comes to saving animals under difficult conditions, genetic information is extremely valuable13.

A newly detailed understanding of species diversity can illuminate processes important in speciation, as suggested by the discovery that the most diverse lineages of animals. By using various molecular markers, it is possible to detect unique genetic variation in endangered population or species4. Knowledge of genetic diversity directs us to develop breeding programs minimizing inbreeding and safeguarding the loss of genetic variation. It is evident that the combination of morphological and molecular data sets permits a clearer recognition of evolutionary diversity among organisms. Further study is necessary to reveal the diversity among family members14. Applications of the mitochondrial gene-based species identification techniques cover a wide spectrum, and offer a fascinating perspective for future animal study6,15.

The mitochondrial gene cytochrome c oxidase I (COI) barcode reference library for animals has become a standard resource for DNA metabarcoding applications recommending as standard metabarcode for metazoans3. These advances have opened up numerous new applications in aquatic sciences and ecological monitoring27. Still, further work is needed to optimize use of COI barcodes for these applications5. 

Conclusion

Molecular markers are very useful, providing information on genetic variability among and within animal populations, helping us to develop appropriate conservation strategies. Choosing an efficient profiling technique is important, as selection of an inappropriate technique may lead to incorrect conservation actions. It is important to highlight, however, that DNA barcoding should not replace traditional taxonomy, as integrating both methods can provide a more thorough knowledge of species diversity. The current study improved our knowledge of the faunal diversity of selected areas of Tuensang district, Nagaland. Non-taxonomists, researchers, biodiversity managers and policymakers will use the information provided to strengthen their efforts to develop efficient protective measures for this faunal biodiversity.

Acknowledgment 

The author would like to thank the Head, Department of Zoology, St.Joseph University, Dimapur, Nagaland for her guidance and support.

Conflict of Interest 

The authors declare no conflict of interest.

Funding Source 

There are no funding sources.

Authors’ Contribution        

Chaueichongla Phom (Research scholar)  and Dr. Jeyaparvarthi Somasundaram (Supervisor)

Data Availability Statement

Not applicable

Ethics Approval Statement

The study does not involves an experiment on humans and animals. No Ethical approval was conducted. 

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