THE STUDY OF REPTILES IN CENTRAL ASIA AND THE MORPHOLOGICAL ANALYSIS OF SPECIES (BASED ON SCIENTIFIC COLLECTIONS)

Abstract

This study focuses on analyzing the reptile species found in Central Asia, their morphological characteristics, and the history of their research. Utilizing scientific collections, morphological differences within reptile populations were identified, and their adaptations to different habitats were evaluated. Geometric morphometric methods were employed, providing insights into species variation through statistical and mathematical shape analysis. The findings offer essential data for reptile conservation and scientific classification. Additionally, this study contributes to addressing urgent issues in ecological monitoring and biodiversity preservation.

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Karimjonov, K. . (2024). THE STUDY OF REPTILES IN CENTRAL ASIA AND THE MORPHOLOGICAL ANALYSIS OF SPECIES (BASED ON SCIENTIFIC COLLECTIONS). Academic Research in Modern Science, 3(49), 5–11. Retrieved from https://www.inlibrary.uz/index.php/arims/article/view/62001
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Abstract

This study focuses on analyzing the reptile species found in Central Asia, their morphological characteristics, and the history of their research. Utilizing scientific collections, morphological differences within reptile populations were identified, and their adaptations to different habitats were evaluated. Geometric morphometric methods were employed, providing insights into species variation through statistical and mathematical shape analysis. The findings offer essential data for reptile conservation and scientific classification. Additionally, this study contributes to addressing urgent issues in ecological monitoring and biodiversity preservation.


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THE STUDY OF REPTILES IN CENTRAL ASIA AND THE

MORPHOLOGICAL ANALYSIS OF SPECIES

(BASED ON SCIENTIFIC COLLECTIONS)

Karimjonov Kamronbek Karimjonovich

Biology teacher at School No. 9, Yunusobod District

Master’s student in "Biology" at National University of Uzbekistan

+99899 725-26-56

kkarimjonov527@gmail.com

https://doi.org/10.5281/zenodo.14413965

Abstract:

This study focuses on analyzing the reptile species found in

Central Asia, their morphological characteristics, and the history of their
research. Utilizing scientific collections, morphological differences within reptile
populations were identified, and their adaptations to different habitats were
evaluated. Geometric morphometric methods were employed, providing insights
into species variation through statistical and mathematical shape analysis. The
findings offer essential data for reptile conservation and scientific classification.
Additionally, this study contributes to addressing urgent issues in ecological
monitoring and biodiversity preservation.

Keyword:

Central Asia, Reptiles, Scientific collections, Morphological

analysis, MorpoJ,

Eremias velox

, Species variation

Аннотация:

Данное исследование направлено на анализ видов

рептилий, обитающих в Центральной Азии, их морфологических
характеристик и истории их изучения. Используя научные коллекции,
были выявлены морфологические различия в популяциях рептилий, а
также оценены их адаптации к различным средам обитания. Для
исследования применялись методы геометрической морфометрии,
которые обеспечили понимание вариаций между видами через
статистический

и

математический

анализ

формы.

Результаты

предоставляют важные данные для сохранения рептилий и их научной
классификации. Кроме того, данное исследование вносит вклад в решение
актуальных проблем экологического мониторинга и сохранения
биоразнообразия.

Ключевые слова:

Центральная Азия, Рептилии, Научные коллекции,

Морфологический анализ, MorphoJ,

Eremias velox

, Вариации видов

Introduction:

Reptiles represent a significant component of biodiversity,

playing a crucial role in maintaining the stability of various ecosystems. Central
Asia serves as a biodiversity hotspot for reptiles, making the study of these


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species both scientifically and ecologically important. This research aims to
analyze the morphological characteristics of reptile species in Central Asia and
investigate their adaptation mechanisms to diverse habitats.
The study utilized geometric morphometric methods based on specimens
preserved in scientific collections. These methods provide accurate and reliable
data for identifying morphological differences between species. The findings
contribute to the scientific classification of species, understanding their
ecological roles, and developing important recommendations for biodiversity
conservation.

The study of morphological variation in organisms has been significantly

advanced through the use of geometric morphometric methods, facilitated by
tools such as MorphoJ. Developed by Chris Klingenberg, MorphoJ has been
instrumental in analyzing biological shapes and understanding their
evolutionary, ecological, and developmental dynamics. Klingenberg's work has
focused on key areas, including the morphological variation in populations, the
dynamics of shape changes during ontogenesis, and evolutionary
transformations of shapes [1].

MorphoJ is not only used for evolutionary studies but also extends to other

biological disciplines. For instance, Dean C. Adams has employed geometric
morphometric techniques, including MorphoJ, to investigate evolutionary
changes in size and shape within populations and to analyze biological shapes
statistically [2]. In the field of paleontology, Norman MacLeod utilized MorphoJ
to analyze the morphological structures of fossils, such as dinosaurs, exploring
the mechanisms driving shape changes during evolutionary and ecological
processes [3]. Similarly, Julia C. Boughner applied MorphoJ in her studies of skull
shapes in humans and primates, linking morphological data to genetic influences
[4]. In aquatic systems, Brian Sidlauskas used MorphoJ to examine fish
morphology, revealing how their shapes adapt to ecological pressures and
genetic variation within populations [5].
In herpetology, Valéria A. Goulart and Emma Sherratt contributed significantly
to understanding the morphological variation in reptiles and amphibians.
Goulart explored the geographic variability of their shapes and correlated it with
ecological data using MorphoJ [6]. Sherratt examined the evolutionary patterns
in amphibians and reptiles, focusing on how environmental and spatial factors
influence shape changes [7].
The integration of MorphoJ into such diverse studies demonstrates its
robustness and versatility, making it a crucial tool for modern biological


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research. This study builds on these foundations, using MorphoJ to analyze
morphological variations in reptiles from Central Asia, contributing to their
conservation and classification.

Materials and Methods

The

Eremias velox

, or "rapid racerunner," is a species found in countries such as

Central Asia, Northern China, Iran, Afghanistan, and Russia. Its habitat primarily
includes desert and semi-desert regions. Belonging to the Lacertidae family, this
species is known for its speed and agility.
The

Eremias velox

is a terrestrial reptile and oviparous, laying eggs for

reproduction. Its diet consists of insects and other small invertebrates, reflecting
its dependence on local food resources. The young are highly independent and
mobile upon hatching, increasing their survival rates.
This species is classified as "Least Concern" on the IUCN Red List, indicating a
stable population. Ecologically, it plays an essential role in controlling insect
populations and other small organisms in the food chain.
Additionally,

Eremias velox

is a valuable subject in scientific research due to its

morphological diversity and adaptability. Genetic analyses provide insights into
its regional variations and internal diversity, contributing to the development of
conservation strategies for the species.
The research focused on

Eremias velox

specimens from the herpetological

collection of the Zoological Institute under the Academy of Sciences of
Uzbekistan. Morphological analysis of the head region was conducted on five
specimens in a 2D format, using 18 landmarks.
The specimens were first selected, and their dorsal sides were photographed.
These images were then digitized using TPSUtil64 software and processed in
TPSDig2. In this software, landmarks were precisely marked on the dorsal
images of each specimen. After completing the landmark placement for all
specimens, the data were saved in a file format compatible with MorphoJ.
In MorphoJ, the data were analyzed to identify morphological variations and
shape differences among the specimens. The research outcomes provide
essential information for understanding the species' ecological role and
contribute to its scientific classification and conservation.

Result and Discussion:

Lmk.

Axis 1 (x)

Axis 2 (y)

1

0.08551734

-0.43195705

2

0.04386930

-0.31304184

3

0.09544329

-0.33750082


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4

0.07376568

-0.33543555

5

0.04836965

-0.22186674

6

-0.00321151

-0.07486292

7

0.02011843

-0.08916298

8

-0.00005943

0.08599525

9

-0.03071810

0.15194023

10

-0.09757962

0.24274151

11

-0.03393132

0.21701243

12

0.03493495

0.22299093

13

-0.07518346

0.13510129

14

0.12855204

0.20845236

15

-0.08152092

0.10982436

16

-0.17311688

0.09459077

17

-0.05141227

0.16392530

18

0.01616285

0.17125347

The square of the variation of the modules = 1.5492958858254995
The square of the variation of the tangent = 0.9367001027018484
The covariance matrix of the Principal Component Analysis is provided below:

Eigenvalue%

Variation

Cumulative %

1.

0.12480687

53.296

53.296

2.

0.05141109

21.954

75.251

3.

0.03628347

15.494

90.745

4.

0.02167359

9.255

100.000

Total variation = 0.23417503
Confidence level = 0.0005716376617
The 4 coefficients of the principal analysis are given below:

PC1

PC2

PC3

PC4

x1

-0.036444

-0.010825

0.035323

-0.055853

y1

0.092167

0.053681

-0.010372

0.046996

x2

-0.037469

-0.022284

0.134883

-0.089008

y2

0.058890

0.034984

0.101524

-0.060490

x3

-0.036331

-0.229321

-0.069694

0.233679

y3

0.087404

-0.010759

-0.035832

0.038575

x4

-0.021296

0.198147

-0.018221

-0.203056

y4

0.111679

0.071310

-0.106497

0.030158

x5

-0.013594

-0.013763

0.012778

0.004062


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y5

0.034186

0.021171

-0.020715

0.034869

x6

0.018789

-0.107569

0.232994

0.219664

y6

-0.236972

0.034728

0.110861

0.002323

x7

0.127140

0.095334

-0.267279

-0.180113

y7

-0.161618

-0.297162

-0.178933

-0.302975

x8

-0.047541

0.187088

0.060078

0.149081

y8

-0.024838

-0.450825

-0.137405

-0.288972

x9

-0.058180

-0.144491

-0.049570

-0.124145

y9

0.270351

0.078387

-0.031331

0.082240

x10

0.074375

-0.108592

-0.066355

-0.076388

y10

0.457784

0.050839

-0.011452

0.017064

x11

-0.135475

-0.069004

0.170698

0.144633

y11

0.200185

-0.057708

-0.023366

0.045078

x12

-0.252995

0.074117

-0.111638

-0.138942

y12

0.173920

-0.027780

-0.033273

-0.002346

x13

0.145261

0.123695

0.454558

-0.165488

y13

-0.175239

0.057728

-0.146424

0.175225

x14

0.172915

-0.210665

0.019796

-0.254670

y14

-0.263698

0.115167

-0.227261

0.278203

x15

0.032002

-0.083027

-0.033433

-0.030384

y15

-0.318465

-0.024784

0.091216

-0.005585

x16

-0.134173

0.135835

0.069359

0.066214

y16

-0.346098

0.036144

0.064494

-0.028299

x17

0.141561

-0.301346

-0.104552

0.566880

y17

0.024285

0.077925

0.320083

-0.012343

x18

0.061456

0.486671

-0.469728

-0.066165

y18

0.016076

0.236954

0.274683

-0.049720


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When analyzing Pica 1 and Pica 2, it was determined that the distribution of
organisms belonging to the species

Eremias velox

falls within a coefficient range

of 0.4. The first sample is within the coefficient range of 0.2 to 0.4. The second
sample is within the coefficient range of 0.2 to 0.3. The third sample is within the
coefficient range of 0.1 to 0.3. The fourth sample is within the coefficient range
of 0.2 to 0.3.

Summary of the Article

The research focuses on the reptile species of Central Asia, with an emphasis on
their morphological characteristics, adaptations, and the historical context of
their study. The study used geometric morphometric methods, supported by
tools like MorphoJ, to analyze shape variations statistically and mathematically.
These methods enable precise identification of species differences, aiding in
ecological and evolutionary studies. The findings not only support scientific
classification but also provide critical data for biodiversity conservation and
ecological monitoring.
A significant portion of the research is dedicated to the species

Eremias velox

(rapid racerunner), a terrestrial reptile found in arid and semi-arid regions
across Central Asia, Northern China, and other adjacent areas. This species,
classified as "Least Concern" by the IUCN, plays an essential ecological role by
regulating insect populations. Its adaptability and morphological diversity make
it a valuable subject for scientific studies.
The study utilized specimens from the Zoological Institute of Uzbekistan.
Morphological analyses were conducted on the dorsal sides of the specimens'
head regions using advanced tools like TPSUtil64 and TPSDig2. These images


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were processed in MorphoJ to assess shape differences through landmark-based
evaluations. The results highlight significant morphological variations, with
detailed statistical data provided through Principal Component Analysis (PCA).
For example, PC1 and PC2 accounted for the majority of the observed variations,
providing insights into the shape distribution of

Eremias velox

.

Overall, the research underscores the importance of morphological studies in
understanding species' ecological roles and evolutionary adaptations. The
methodologies and findings contribute to the broader fields of taxonomy,
conservation, and ecological management, with

Eremias velox

serving as a model

organism for such studies.

References Used:

1. Klingenberg, C. P. (2011). MorphoJ: An integrated software package for
geometric morphometrics. Molecular Ecology Resources, 11(2), 353-357.
2. Adams, D. C., Rohlf, F. J., & Slice, D. E. (2013). Geometric morphometrics: Ten
years of progress following the 'revolution.' Italian Journal of Zoology, 71(1), 5-
16.
3. MacLeod, N. (2005). The analysis of shape. In D. E. Brown & R. J. Ewing (Eds.),
The Paleontological Society Papers, Volume 11 (pp. 67-98). The Paleontological
Society.
4. Boughner, J. C., & Hallgrímsson, B. (2013). Developmental approaches to
human evolution. Wiley Interdisciplinary Reviews: Developmental Biology, 2(2),
231-246.
5. Sidlauskas, B. (2008). Continuous and arrested morphological evolution in
sister groups of characiform fishes: A phylogenetic comparative study.
Evolution, 62(12), 3145-3166.
6. Goulart, V. D. L. R., & Vieira, L. G. (2007). The influence of ecological and
geographic factors on morphometric variability in lizards. Acta Biologica
Colombiana, 12(3), 109-120.
7. Sherratt, E. (2014). Evolutionary trends in the morphometrics of amphibians
and reptiles. Biological Journal of the Linnean Society, 113(2), 270-290.

References

Klingenberg, C. P. (2011). MorphoJ: An integrated software package for geometric morphometrics. Molecular Ecology Resources, 11(2), 353-357.

Adams, D. C., Rohlf, F. J., & Slice, D. E. (2013). Geometric morphometrics: Ten years of progress following the 'revolution.' Italian Journal of Zoology, 71(1), 5-16.

MacLeod, N. (2005). The analysis of shape. In D. E. Brown & R. J. Ewing (Eds.), The Paleontological Society Papers, Volume 11 (pp. 67-98). The Paleontological Society.

Boughner, J. C., & Hallgrímsson, B. (2013). Developmental approaches to human evolution. Wiley Interdisciplinary Reviews: Developmental Biology, 2(2), 231-246.

Sidlauskas, B. (2008). Continuous and arrested morphological evolution in sister groups of characiform fishes: A phylogenetic comparative study. Evolution, 62(12), 3145-3166.

Goulart, V. D. L. R., & Vieira, L. G. (2007). The influence of ecological and geographic factors on morphometric variability in lizards. Acta Biologica Colombiana, 12(3), 109-120.

Sherratt, E. (2014). Evolutionary trends in the morphometrics of amphibians and reptiles. Biological Journal of the Linnean Society, 113(2), 270-290.