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Population structure of kaempferia agalanga L. from eastern India

By: Parida, Reena.
Contributor(s): Mohanty, Sujata | Nayak, Sanghamitra.
Publisher: M P Innovare Academic Sciences Pvt Ltd 2019Edition: Vol. 2(3).Description: 62-65p.Subject(s): PHARMACEUTICSOnline resources: Click here In: International journal of pharmacy and pharmaceutical scienceSummary: Objective: India has been a producer of a large number of aromatic medicinal plants which serves as a valuable genetic resource for future quality improvement to meet the ever -growing demand of human essential products. Thus, an urgent need arises for germplasm conservation of these high yielding varieties to help the pharmaceutical and other industries. For this understanding , the population structure is essential in order to explore their gene tic identification by fingerprinting and molecular characterization. Method s: In the present study DNA was isolated using modified Cetyl Trimethyl Ammonium Bromide (CTAB) method and Polymerase Chain Reaction (PCR) was performed according to standardized me thod along with its data analysis. This study was undertaken to characterize the highly medicinal Kaempferia galanga collected from 4 different populations of Odisha using the molecular markers as Random Amplified Polymorphic DNA and Inter -Simple Sequence Repeats for the first time. Result s: A dendrogram constructed through Sequential Agglomerative Hierarchical and N ested (SAHN) clustering and Unweighted Pair Group Method with Arithmetic mean (UPGMA) analysis showed an average similarity of 0.993 ranging be tween 0.967 to 1.000. Jaccard’s similarity coefficient of combined markers segregated the genotypes into two main clusters , 1 with six samples and the others at 0.98 similarity coefficient. Conclusio n: Hence, the molecular analysis could be further used fo r the identification of important novel gene present in Kaempferia galanga which can be utilized for future crop improvement as well as pharmacological activities.
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Objective:
India has been a producer of a
large
number of aromatic medicinal plants which serves as a valuable genetic resource for future quality
improvement to meet the
ever
-growing
demand
of human essential products. Thus, an urgent need arises for germplasm conservation of these high
yielding varieties to help the pharmaceutical and other industries. For this understanding
, the population
structure
is
essential in order to
explore
their gene
tic identification by fingerprinting and
molecular
characterization.
Method
s:
In the present study DNA was isolated using modified
Cetyl Trimethyl Ammonium Bromide (CTAB) method and Polymerase
Chain
Reaction (PCR) was performed according to standardized me
thod
along
with
its data analysis. This study was undertaken to characterize the highly
medicinal
Kaempferia galanga
collected from 4 different populations of Odisha using the molecular markers as Random Amplified Polymorphic
DNA and
Inter
-Simple
Sequence
Repeats for the first time.
Result
s:
A dendrogram
constructed through
Sequential
Agglomerative
Hierarchical and N
ested (SAHN) clustering
and
Unweighted
Pair
Group
Method with
Arithmetic mean (UPGMA) analysis showed an average similarity of 0.993 ranging be
tween 0.967 to 1.000.
Jaccard’s similarity
coefficient of combined markers segregated
the
genotypes into two main clusters
, 1 with six samples and the others at 0.98 similarity
coefficient.
Conclusio
n:
Hence, the molecular analysis could be further used fo
r the
identification
of important novel gene present in
Kaempferia galanga
which
can be utilized for future crop improvement as well as pharmacological activities.

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