Molecular and Phylogenetic Analysis
of Family Aeshnidae of Hazara Region, Pakistan
Sardar Azhar Mehmood1*,
Manawar Saleem Ahmad2, Ahmed Zia3, Shabir Ahmed1,
Muzafar Shah4, Wali Khan5 and Waheed Ali Panhwar6
1Department of Zoology, Hazara University, Mansehra, Pakistan
2Department of Zoology, Swabi University, Swabi, Pakistan
3National Insect Museum, National Agriculture Research
Centre, Islamabad, Pakistan
4Department of Zoology, University of Swat, Pakistan
5Department of Zoology, University of Malakand, Pakistan
6Department of Zoology, Shah Abdul Latif Bahati
University, Sindh, Pakistan
*For Correspondence:
banianhu@gmail.com
Received
05 June 2019; Accepted 08 September 2020; Published 10 December 2020
Abstract
Current study was conducted on family Aeshnidae from Hazara region of Pakistan. During the survey a total of 125 members
were collected and identified into 2 species under single genus. The present
study focuses on molecular characterizations and phylogenetics of family
Aeshnidae. Phylogenies of the analyzed taxa were elaborated with maximum
likelihood, maximum parsimony and Bayesian analysis. We sequenced both
mitochondrial genes i.e., COI and 16S
rRNA, separate and combined CO1+16S
data sets revealed evolutionary relationship within Aeshnidae at the species and
genera level. Mean Pairwise Distances (MPD) of each species were ranged from 0.00 to 84.60%. Evolutionary rate
differences among two categories Gamma distribution and Invariant were recorded
as 0.07 and 1.20 substitutions per site. DNA based identification using CO1,
16S and combined CO1+16S data
set, for all Aeshnidae species shared genetic similarities having bootstrap
values MLB=70100%, MPB= 52100% and BPP=0.751% respectively. The analysis of the combined (COI+16S) data
set produced trees with complete stronger bootstrap support than analyses of
either gene alone. These findings
had shown that the taxonomic position of Aeshnidae species based on
morphological characters could be verified, further improved and confirmed by
the use of modern molecular biological tools which involve the nucleotide
sequences of genes used in phylogenetic investigations. © 2021
Friends Science Publishers
Keywords: Aeshnidae;
Molecular analyses; Phylogeny; CO1; 16SrRNA; Hazara region
Introduction
Family Aeshnidae comes under
sub order Anisoptera and order Odonata. Aeshnids
are worldwide distributed dragonflies with a record of 441 species (Schorr et al. 2009).
Regarding Pakistan its six genera and nine species have been reported till to
date. Presently 27 species of genus Anax were reported worldwide and four species recorded from Pakistan (Chaudhry
2010). Aeshnid dragonflies are large in size and predators in freshwater ecosystems
(Needham and Westfall 1955; Wissinger 1989). Zia et al. (2008) observed that they are important predators of insect
pests of agriculturally important crops. Din et al. (2013) and Bhatti et
al. (2013) conducted research on their Naiads (larvae) and reported they
are voracious predators and consume mosquito larvae and other small crustaceans
in large numbers. Besides this, Aeshnid dragonflies also be a significant prey
of birds, fishes and few invertebrates thereby playing an important component
in food chain of these organisms (Chaudhry 2010).
Taxonomy is the identification of species based on the
morphological characters and since it requires vast knowledge about the varied
organisms and their characters. In many cases, the conventional taxonomy is
difficult due to the external changes in the organisms caused by seasonal and
geographical variations, whereas in the case of insects, sexual dimorphism and
mimicry often leads to the misidentification of the original species (Mehmood et al. 2016). The incidence of sexual
dimorphism is high in insects and aquatic organisms. Many organisms alter
themselves physiologically and morphologically due to the unfavorable
conditions in the environment. Generally, these variations accumulate in the
species and bring about a drastic change in the outlook or appearance of the
animals. The most common phenomenon exhibited by the insects is to act as a
mimic to the model organisms, whereby it is facilitated by anti-predatory
effects and habitats survival. On the basis of the above-mentioned
difficulties, by adopting manual taxonomy, misidentification of the species may
arise. This problem has thus influenced the emergence of the molecular
taxonomic frame work studies for the conformation and the betterment in the
identification of species (Mehmood et al.
2016).
Although various studies have been conducted in the
world to determine the phylogenetics of family Aeshnidae by several workers i.e., The application of COI gene for
determining genus-level evolutionary relationships among the several insect
taxa (Crozier et al. 1989; Obrower 1994; Simon et al. 1994; Sperling
and Hickey 1994; Sperling et al. 1997), including Aeshnid dragonflies
(Lunt et al. 1996). Similarly, many workers done study on ribosomal
gene, 16S rRNA and evaluated the comparison among phylogenetic relationship
based on single and combined data sets of CO1 and 16S (Kambhampati and Charlton
1999). Many other workers have studied the molecular characterizations of
various odonata species i.e., (Misof et al. 2000; Artiss et al. 2001; Misof et al.
2001; Saux et al. 2003; Hasegawa and
Kasuya 2006; Ware et al. 2007a, b, 2008;
Bybee et al. 2008; Fleck et al. 2008; Dumont et al. 2010; Davis et al.
2011; Elizabeth et al. 2011; Kohli
et al. 2014; Kim et al. 2014; Carle et al. 2015; Bybee et al. 2016; Das 2016; Suvorov 2018;
Kalavanti and Jethva 2019).
The objectives of the present research work were to
practice the morphometric data, and molecular data which included (COI and 16S)
genes to evaluate the major evolutionary association among the species and
genera of Aeshnidae dragonflies. Current study represents the Phylgenetic
affiliation among the species and genera of Aeshnidae, and established the
basis for subsequent comparative studies of morphological and DNA based
characterization among the members of family Aeshnidae.
Materials and Methods
Sample collection and
preservation
Specimens of family Aeshnidae were collected
from throughout Hazara region of Pakistan (Fig. 1). Methods of sampling were
based on Zia (2010). Method of preservation was based on Chaudhry (2010) and
Zia (2010). Adult Odonates were caught with a light and strong insect
collection net, during (09 am to 06 pm) on clear sunny days. Collected
specimens were kept in entomological bottles having poured with cyanide; dead
members were expansed on setting boards and tagged with complete information such
as geographic coordinates, collectors name, date of collection and localities.
All the specimens were also placed in deep freezer (-21°C) for two day for
leaning from any fungal contamination. Then the dried specimens were
transferred in collection boxes containing naphthalene balls in the National
Insect Museum, NARC Islamabad.
Identification
Taxonomic keys of Chaudhry (2010) and Fraser (1933, 1936)
were followed to identify collected specimens up to specific level. Help in
identification was also done by using reference collection of Odonata in National
insect Museum, National Agricultural Research Centre (NARC) Islamabad.
Molecular study
Isolation of DNA: Isolation of DNA from dried
Aeshnids dragonflies was carried out using Invitrogen (PureLink Genomic DNA)
kit applying spin columns with minor modifications in procedure provided by the
supplier company. One leg was separated from each
specimen through a forcep and placed in a labelled 1.5 mL micro centrifuge tube
while leg was cut into pieces with dissection scissors. After the completion of
DNA extraction process, 1% agarose/TAE gel was used to check the quantity and Quality
of the extracted DNA. UVtec gel documentation system was used to observe DNA band under UV light.
Selection of Primers and PCR amplification
Primers were selected from NCBI gene bank data available
in the literature and the desired sequence of the region which has to be
amplified. The isolated genomic DNA was used as template for PCR amplification
based on Cytochrome C Oxidase 1 (CO1), and 16S rRNA. The sequences of selected
primers are presented as GGTCAACAAATCATAAAGATATGG (F), TAAACTTCAGGGTGACCAAAAAAT
CA (R), CGCCTGTTTATCAAAAACAT (F) and CTCCGGTTTGAACTCAGATCA(R) respectively (Mehmood
2016).
Gene sequencing
The purified DNA of the Aeshnidae dragonflies was sent
for sequencing to Macrogen Korea http:/www.macrogen.com. All amplified samples
of DNA were successfully sequenced; DNA sequences were BLAST in NCBI GenBank
data base for comparison sequences, identification and further Phylogenetic
study.
Molecular characterization and
Phylogenetic analysis
Sequences of DNA were aligned applying Muscle alignment
(Edgar 2004) and CLUSTAL X 2.1 (Larkin et
al. 2007). Aligned data was edited in BioEdit 7.2.5 (Hall 1999). Analyses
of Phylogenetic relationship were executed using three methods, Maximum
parsimony (MP), Maximum likelihood (ML) and Bayesian analyses (BPP). Maximum
parsimony analyses were performed in PAUP4.0b10 (Swofford 2004). Maximum
likelihood tree was generated through MEGA6 based on GTRGAMMA model (Tamura et
al. 2013). Bootstrap was
considered 70% as significant. Bayesian analyses based on Markov chain Monte
Carlo (MCMC) and done using the software BEAST 1.6.2 and with the application
of (XSEDE) applied on the CIPRES Science Gateway v. 3.3 (Drummond and Rambaut
2007; Miller et al. 2010). To check the ESS value (effective sample
size) TRACER 1.5 was implemented (Rambaut and Drummond 2009) Posterior
probabilities values (PP) were adjusted greater than 0.95% as significant. For
tree visualization, Fig Tree 1.4.2 (http://tree.bio.ed.ac.uk/software/figtree),
(Rambaut 2012) was used and tree annotating was done through Adobe Illustrator
CS6.
Results
Molecular systematics and phylogenetic
analysis based on 16S data
Initially 16S rRNA nucleotide sequences were BLAST in
GenBank NCBI. The blast result of these species showed 98% maximum identity 99%
query cover and E-value 0 and 97% maximum identity 96% query cover and E-value
0 with A. junuis (AY282557.1) and A. parthenope (EU477651.1) respectively.
Mean Pairwise Distances (MPD) of each species were ranged from 0.006 to 47.60%. Evolutionary rate
differences among two categories Gamma distribution and invariant (+G+I) were
recorded as 0.11 and 1.89 substitutions per site.
The optimal
16S rRNA tree was obtained with log likelihood -8110.6425 and its bootstrap
supported values are presented below the branches (Fig. 2). The 666
positions/characters were used, out of them 1 character was conserved, 665 were
variable, 661 were parsimony informative and 5 were single tone sites. The MP
technique was based on TBR parameter (Nei and Kumar 2000) with heuristic search
of 1000 replicates. The most parsimonious tree was obtained using MP method
with length = 2985 and boot strap supported values are shown above the branches
(Fig. 2). The consistency index (CI), retention index (RI) and composite index
observed as 0.268342, 0.191111 and 0.051283 respectively. Bayesian Posterior
Probabilities (BPPs) is presented below the branches in parenthesis (Fig. 2).
Phylogenetic
tree was clustered into two main clades i.e. clade I and II. The clade I was
further sub divided into four sub clades. The sub clade I consisted into four
species under two different genera. Sub clade II spreaded into four species of
genus Aeshna, while subclade III
comes under three Aeshna species.
Subclade IV comprised of four species of genus Anax including our local
species. A. parthenope grouped in
subclade IV and showed close relationship with A. parthenope (EU477651.1) and its bootstrap supported values were
recorded as MLB=98, MPB=98, BPP=0.99 respectively. Clade II come up in to two
i.e. subclades, V and VI. The subclade V consisted of four species of genus Anax, our local species A. immaculifrons clustered in subclade V
and showed close resemblance with A.
junius (AY282557.1) and its supported value were recorded MLB=97, MPB=99, BPP=0.98.
While subclade VI comprised of four species belonging to four different genera
(Fig. 2).
Molecular systematics and
Phylogenetic analysis based on CO1 data
For molecular characterization the partial nucleotide
sequence of CO1 gene were obtained for
assigning the phylogenetic status of Anax
immaculifrons (Rambur 1842) and Anax
parthenope (Selys, 1839) belonging to genus Anax and
family Aeshnidae. After BLAST analysis of CO1 sequences of these species showed
99% maximum identity 99% query cover and E-value 0 and 98% maximum identity 97%
query cover and E-value 0 with A. nigrofasciatus
(KF257056.1) and A. parthenope
(KF257072.1) respectively.
Mean Pairwise
Distances (MPD) within each species were ranged from 0.08764.07%. Differences of evolutionary rate were determined
among two categories using a distinct Gamma distribution (+G+I). Mean
evolutionary rates in these categories were recorded as 0.07 and 1.93
substitutions per site.
The ML tree
obtained with highest log likelihood (-3336.2739), having bootstrap values
below the branches (Fig. 3). A total 1147 positions/characters were used, out
of them 440 were conserved, 707 were variable, 351 were parsimony informative
and 356 were singletone sites. The most parsimonious tree was obtained of
length 910 and having supported values above the branches (Fig. 3). The
consistency index (CI), the retention index (RI) and the composite index were
observed as 0.841758, 0.626943 and 0.527734 respectively. Bayesian Posterior
Probabilities (BPPs) is presented below the branches in parenthesis (Fig. 3).
The
phylogenetic tree generated two major clades, clade I and II, clade I including
four species of genus Anax Our local
species A. parthenope grouped in
clade I and showed close relationship with A.
parthenope (KF257072.1) and its supported values were recorded as MLB= 97,
MPB=98, BPP=97%. While local species A.
immaculifrons showed homology with Anax
nigrofasciatus (Gene Bank accession # KF257056.1) with supported values
MLB= 95, MPB=94, BPP=0.96%. Clade II comprised of six species under four genera
belonging to family Aeshnidae (Fig. 2).
Molecular characterization and phylogenetic analysis
based on combined CO1+16S data
The partial sequences of combined CO1+16S data set were
selected for further study. Mean Pairwise Distances (MPD) of each species were
ranged from 0.087 to 64.07%.
The discrete Gamma Distribution (+G) and invariant (+I) were found 4.0905 and
0.0000% respectively.
Fig. 1: GIS Map of Hazara Region-Pakistan
Fig. 2: Phylogenetic tree based on ML analysis of 16S gene
sequence, Parsimony bootstrap values are given
above the branches, Maximum likelihood bootstrap
values are presented below the branches and values from posterior probabilities
of Bayesian analysis are showed below the branches in parenthesis. Scale bar
presented 5 changes per 100 characters (Sequences of the current study)
Fig. 3: Phylogenetic
tree based on ML analysis of CO1 gene sequence, Parsimony bootstrap values are given above the branches, Maximum likelihood bootstrap values are presented
below the branches and values from posterior probabilities of Bayesian analysis
are showed below the branches in parenthesis. Scale bar presented 5 changes per
100 characters (Sequences of the current study)
Fig.
4: Phylogenetic based on ML analysis of CO1+16S data set s,
Parsimony bootstrap values are given above the branches, Maximum likelihood
bootstrap values were presented below the branches and values from posterior
probabilities of Bayesian analysis are showed below the branches in
parenthesis. Scale bar presented 5 changes per 100 characters (Sequences of the
current study)
The ML tree
was obtained with highest log likelihood -10903.7856 having bootstrap values
below the branches (Fig. 4). Out of 971 characters/positions, 3 conserved, 968
variable, 940 parsimony informative and 31 singletone sites. The most
parsimonious tree was found having length 3228, with bootstrap values above the
branches (Fig. 4). The consistency index (CI), retention index (RI) and
composite index was recorded as 0.614312, 0.434348 and 0.266825 respectively.
Bayesian Posterior Probabilities (BPPs) are presented below the branches in
parenthesis (Fig. 4).
Phylogenetic
tree generated into two major clades i.e. clade I and II. The clade I further
subdivided into two subclades. Subclade I comprised of three sequences,
covering three species under genus Aeshna,
whereas subclade II consisted of two species, including our local species Anax immaculifrons and it showed genetic
affinities with A. junius having
supported values as MLB=94%, MPB=95%, BPP=0.95%. The result of combined COI+16S
data set of A. immaculifrons was
found similar to the outcomes of 16S but differ from CO1 data. Clade II
included five sequences covering four species under the genus Anax, including our local species A. parthenope and this species shared
genetic similarity with A. parthenope with
supported values i.e., MLB=100%,
MPB=99%, BPP=1%. The outcomes of combined COI+16S data set similar to findings
of CO1 and 16S individual data analysis with slightly variation of bootstrap
supported values (Fig. 4).
Genetic distance
among genera of family aeshnidae
The average number of nucleotide differences (D) and the
average number of nucleotide substitutions per site between genotypes (Dxy)
were observed. The lowest distance was estimated between Rhinoaeschna and Hemianax (D= 8.000 and
Dxy= 0.02439) followed by Rhinoaeschna and Caliaeshna (D=10.000 and
Dxy-0.03049) while the highest distances were recorded between Anax and Anaciaeshna (D=147.250 and
Dxy=0.32081) followed by Gynacanth and Anaciaeshna (D=147.000 and
Dxy= 0.32081) (Table 1).
Genetic diversity among genera of family aeshnidae
Table 1: Average
pair wise differences between genera of family Aeshnidae
Anax |
Aeshna |
Anaciaeshna |
Hemianax |
Caliaeshna |
Gynacanth |
Rhinoaesc |
Austrogyn |
Boyeia |
|
Anax |
- |
46.571 |
147.250 |
75.667 |
81.833 |
84.833 |
38.833 |
41.333 |
84.500 |
Aeshna |
0.16935 |
- |
86.429 |
28.571 |
31.714 |
33.143 |
29.571 |
36.286 |
40.000 |
Anaciaeshna |
0.32081 |
0.29199 |
- |
140.500 |
145.000 |
147.000 |
97.000 |
99.500 |
144.000 |
Hemianax |
0.16378 |
0.09653 |
0.29271 |
- |
17.000 |
20.000 |
8.000 |
12.000 |
27.000 |
Caliaeshna |
0.17751 |
0.10714 |
0.30146 |
0.03448 |
- |
26.000 |
10.000 |
16.000 |
27.000 |
Gynacanth |
0.18362 |
0.11197 |
0.30498 |
0.04040 |
0.05253 |
- |
15.000 |
14.000 |
38.000 |
Rhinoaesc |
0.12901 |
0.09990 |
0.30218 |
0.02439 |
0.03049 |
0.04573 |
- |
19.000 |
19.000 |
Austrogyn |
0.13508 |
0.12300 |
0.30615 |
0.03614 |
0.04819 |
0.04217 |
0.05810 |
- |
27.000 |
Boyeia |
0.19470 |
0.13514 |
0.31718 |
0.05806 |
0.05794 |
0.08137 |
0.05882 |
0.08385 |
- |
Average
number of nucleotide differences between populations D (above) Average number
of nucleotide substitution per site between populations, Dxy (below) The
data was analyzed using DnaSP 5.10 software
Table 2: Values of Genetic diversity of Genus Anax, Aeshna and other genra of family Aeshnidae
Species |
Anax |
Aeshna |
Other Aeshnidae |
Total |
No of sequences |
7 |
7 |
8 |
22 |
No of haplotypes |
6 |
7 |
8 |
20 |
Nucleotide diversity |
0.17 |
0.18 |
0.16 |
0.16 |
Standard deviation of nucleotide diversity |
0.10 |
0.11 |
0.09 |
0.05 |
Haplotype (gene diversity) |
0.95 |
1.00 |
1.00 |
0.99 |
Variance of haplotype diversity |
0.01 |
0.01 |
0.00 |
0.00 |
Standard deviation of haplotype diversity |
0.10 |
0.08 |
0.06 |
0.02 |
Average number of nucleotide differences k |
46.76 |
53.05 |
54.82 |
44.28 |
Theta |
0.23 |
0.25 |
0.25 |
0.20 |
Raggedness index |
0.17 |
0.13 |
0.05 |
0.03 |
Fus Fs test |
2.81 |
0.77 |
0.46 |
-1.36 |
Tajimas D test |
-1.61* |
-1.65* |
-1.73* |
-0.85 |
Genetic diversity among 22 genotypes of family Aeshnidae
were estimated, it was revealed that 20 haplotypes resulted with
Nucleotide diversity of Anax, Aeshna and other genera 0.17, 0.18 and
0.18 respectively. Haplotype gene diversity was observed i.e., Anax, Aeshna and other genera 0.95, 1.00 and 1.00
respectively. Whereas average number of nucleotide differences k resulted for Anax, Aeshna and other genera 46.76, 53.05 and
54.82 respectively. Fus Fs test also calculated and it revealed for Anax,
Aeshna and other genera 2.81, 0.77 and 0.46
respectively. The value of Tajimas D test was yielded for Anax, Aeshna and
other genera -1.61*, -1.65* and
-1.73* respectively, (Table 2).
Discussion
Molecular and Phylogenetic results
presented here and those of many recent workers (Fleck et al. 2008; Dumont et al.
2010) have clearly supported genus Anax
as monophyletic. Our findings based on 16S data revealed the clustering of A. parthenope and A. immaculifrons with A.
parthenope (EU477651.1) and A. junius
(AY282557.1) respectively.
Whereas analysis of CO1 data showed homology of A. parthenope and A. immaculifrons with A.
parthenope (KF257072.1) and A.
nigrofasciatus (KF257056.1) respectively. The findings of the present
molecular study have been justified with previous molecular works of Misof et al. (2001), Ware et al. (2007a, b), Fleck et
al. (2008) and Davis et al.
(2011) with miner difference of supported values. While the analysis of
combined CO1+16S data sets recognized the position of A. parthenope and A.
immaculifrons with A. parthenope and
A. junius respectively. Similar
study was carried out by Bybee
et al. (2008) and Carle et al. (2015) have conducted the
Phylogenetic studies of Anisoptera and recorded the evolutionary relationship
of Anax and Aeshna as supported values (MLB=78%, BPP=99%) and (BP =20, PP=27)
respectively. Similarly, Saux et al.
(2003) conducted phylogenetic study of Aeshnidae while, Kohli et al. (2014) conducted study on genus Boyeria using morphological and
molecular markers. Whereas many previous workers studied the molecular
characterizations of odonata including members of Aeshnidae i.e., (Misof et al. 2000; Artiss et al. 2001;
Misof et al. 2001; Hesgawa et al. 2006; Ware et al. 2008; Elizabeth et al. 2011; Kim et al. 2014;
Bybee et al. 2016; Das 2016; Suvorov 2018; Kalavanti and Jethva 2019).
The genetic distance and diversity among the genera of
Aeshnidae based on molecular data is presently insufficient to entirely explain
the evolutionary relationship among the genera of Aeshnidae. However, the
morphological analysis has done by Ellenrieder (2002) provides a topology for
evaluation. Whereas according to our findings the genea i.e., Anaciaeshna, Boyeria, Brachytron and Aeshna
reusuted as the sister group in constructed phylogenetic tree (Fig. 2, Subclade
I and II). While Aeshna also showed genetic affinities with Anax (Fig.
2, Subclade III, IV and V). Our results also support the genus Brachytron and
Aeshna in same clade as sister group as described by Ellenrieder (2002).
However, the topologies differ in that Boyeria and Caliaeschna do
not form a monophyletic group. Two genera Anax and Hemianax were
not nested within same clade in our result during the present study. Whereas,
Ellenrieder (2002) showed them as close related group. During the present study
the genera, i.e., Austrogynacantha, Rhionaeshna, Hemianax, Caliaeshna
and Anax were reulted group togather (Fig. 2, Subclade V and VI),
similar topology and evolutionary relationship also described by Carle (2012).
Conclusion
Present work is the first molecular data of Aeshnidae
from Hazara region of Pakistan. The molecular techniques of CO1, 16S and
combined (CO1+16S) presented the superlative outcomes at all. Whereas
investigation of (CO1+16S) data set produced the more precise consequences and
Phylogenetic relationship than seperate/single analysis of CO1 and 16S.
Throughout the current molecular research Maximum likelihood (ML) Maximum
parsimony (MP) and Bayesisn analysis (BA) were used to check the reliability of
each method. These methods demonstrated similar evolutionary relationship and
topologies only variations were that for some nodes and with minor differences
of bootstrap values.
Author Contributions
SAM & MSA carried research work, AZ & MS,
prepared the manuscript, WK & WAP data analyzed and SA proof read the final
version of the manuscript for publication
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