ISSR Marker Based Genetic Diversity in Morinda Spp. For Its Enhanced Collection, Conservation and Utilization

DOI: https://doi.org/10.21203/rs.3.rs-666059/v1

Abstract

Morinda (Rubiaceae) is considerably recognized for its multiple uses viz. food, medicine, dyes, firewood, tools, oil, bio-sorbent etc. The molecular characterization of such an important plant would be very useful for its multifarious enhanced utilization. In the present study, 31 Morinda genotypes belonging to two different species Morinda citrifolia and Morinda tomentosa collected from different regions of India were investigated using Inter Simple Sequence Repeat (ISSR) markers. Fifteen ISSR primers generated 176 bands with an average of 11.7 bands per primer, of which (90.34%) were polymorphic. The percentage of polymorphic bands, mean Nei’s gene diversity, mean Shannon’s information index in Morinda tomentosa and Morinda citrifolia was [(69.89%, 30.68%); (0.21 ± 0.19, 0.12 ± 0.20); (0.32 ± 0.27 0.17 ± 0.28)] respectively, revealing higher polymorphism and genetic diversity in Morinda tomentosa compared to Morinda citrifolia. Structure, and UPGMA cluster analysis placed the genotypes into well-defined separate clusters belonging to two species Morinda tomentosa and Morinda citrifolia revealing the utility of ISSR markers in species differentiation. Distinct ecotypes within a particular species could also be inferred emphasizing the collection and conservation of Morinda genotypes from different regions, in order to capture the overall diversity of respective species. Further higher diversity of M. tomentosa must be advanced for its utilization in nutraceutical, nutritional and other nonfood purposes.

Introduction

Morinda genus (Rubiaceae) is distributed throughout the tropics and subtropics. It is an important underutilized fruit plant; Morinda citrifolia (commonly known as noni) and Morinda tomentosa are its two recognized species. Its multifarious uses as food, medicine, dyes, firewood, tools, toys, bio-sorbent, oil etc. are renowned. Morinda citrifolia have broad range of therapeutic effects (Wang and Su 2001; Duke et al. 2002; McClatchey 2002). West et al. 2008, reported the utility of oil (average oil content of 124.9 g/Kg) extracted from the seeds of M. citrifolia as a potential source of vegetable oil containing healthy linoleic (59.4 %) and oleic fatty acids. In a study by Palu et al. (2012), the utility of noni seed oil for human skin health was also reported. There is another study in which, potential application of noni oil as whipped-soft margarine or salad oil as well as in nonfood industries was reported (Lee et al. 2015). Regarding Morinda tomentosa (syn. Morinda coreia Buch; M. tinctoria Roxb.) its fruits are consumed; wood is useful for making dishes, plates and toys and a red dye is made from its root bark (Anonymous 1962; Jukema et al. 1991). Morinda tomentosa is also being fed to cattle and buffaloes to improve milk yield by livestock owners in tribal and semiarid belt of east of Gujarat (Rangnekar 1991). There are also reports available on its usage as an environmentally safe bio-sorbent (Suneetha and Ravindhranath 2012; Vijayalakshmi et al. 2013). Keeping in view such a wide significance of Morinda species, genetic diversity and species differentiation studies using molecular markers would give way for its superior conservation as well as utilization. Molecular markers like RAPD, ISSR, SCoT (Singh et al. 2011; Arya et al. 2013; Arya et al. 2014; Bordello et al. 2017) have been used to characterize the genetic diversity of Morinda.

In the present study, ISSR markers were used for molecular characterization of such an important plant in order to estimate the genetic variation among Morinda genotypes belonging to two different species (Morinda citrifolia and Morinda tomentosa).

Materials And Methods

Plant material

The experimental material (leaves) used in the present study consisted of 31 Morinda genotypes collected from Gujarat, Rajasthan, Kerala and Dharampuri (Tamil Nadu) regions of India (Table 1). Genotypes collected from Kerala and Rajasthan (Jodhpur) belonged to Morinda citrifolia species, while genotypes from Gujarat, Rajasthan (Kota and Bundi) and Dharmpuri (Tamil Nadu) belonged to Morinda tomentosa species (Fig. 1A and Fig. 1B).

Table 1

List of Morinda tomentosa and M. citrifolia used in the present study

Name of sample

Species

Habitat

Place of Collection

State

Gujarat 1

Morinda tomentosa

Disturbed roadside

Dudhwa

Gujarat

Gujarat 1A

Morinda tomentosa

Disturbed roadside

Popatpura

Gujarat

Gujarat 2

Morinda tomentosa

Disturbed roadside

Moholia

Gujarat

Gujarat 3

Morinda tomentosa

Disturbed roadside

Panchkhobala

Gujarat

Gujarat 4

Morinda tomentosa

Disturbed roadside

Dang

Gujarat

Gujarat 5

Morinda tomentosa

Disturbed roadside

Simalia

Gujarat

Rajasthan 1

Morinda tomentosa

Partly disturbed

Nayapura, Kota

Rajasthan

Rajasthan 2

Morinda tomentosa

Partly disturbed

Nayapura, Kota

Rajasthan

Rajasthan 3

Morinda tomentosa

Partly disturbed

Nayapura, Kota

Rajasthan

Rajasthan 4

Morinda tomentosa

Partly disturbed

Nayapura, Kota

Rajasthan

Rajasthan 5

Morinda tomentosa

Partly disturbed

Nayapura, Kota

Rajasthan

Rajasthan 6

Morinda tomentosa

Partly disturbed

Nayapura, Kota

Rajasthan

Rajasthan 7

Morinda tomentosa

Partly disturbed

Roadside Bundi

Rajasthan

Rajasthan 8

Morinda tomentosa

Partly disturbed

Roadside Bundi

Rajasthan

Kerala 1

Morinda citrifolia

Saline habitat, Partly disturbed

Thambakkadavu,Thrissur

Kerala

Kerala 2

Morinda citrifolia

Saline habitat, Partly disturbed

Thalikkulam, Thrissur

Kerala

Kerala 3

Morinda citrifolia

Saline habitat, Partly disturbed

Natika, Thrissur

Kerala

Kerala 4

Morinda citrifolia

Saline habitat, Partly disturbed

Valappadu, Thrissur

Kerala

Kerala 5

Morinda citrifolia

Saline habitat, Partly disturbed

Kerayamparambu, Thrissur

Kerala

Kerala 6

Morinda citrifolia

Saline habitat, Partly disturbed

Kerayamparambu, Thrissur

Kerala

Kerala 7

Morinda citrifolia

Saline habitat, Partly disturbed

Kerayamparambu, Thrissur

Kerala

Kerala 8

Morinda citrifolia

Saline habitat, Partly disturbed

Kerayamparambu, Thrissur

Kerala

Kerala 9

Morinda citrifolia

Saline habitat, Partly disturbed

Kerayamparambu, Thrissur

Kerala

Kerala 10

Morinda citrifolia

Saline habitat, Partly disturbed

Thambakkadavu, Thrissur

Kerala

Kerala 11

Morinda citrifolia

Saline habitat, Partly disturbed

Kothakulam, Thrissur

Kerala

Kerala 12

Morinda citrifolia

Saline habitat, Partly disturbed

 

Kerala

Dharampuri

Morinda tomentosa

Disturbed roadside

Near railway station, Dharmpuri, Salem

Tamilnadu

Mogra Kalav

Morinda citrifolia

Partly disturbed

Mogra Kalav, Jodhpur

Rajasthan

Jodhpur city1

Morinda citrifolia

Partly disturbed

Jodhpur

Rajasthan

Jodhpur city2

Morinda citrifolia

Partly disturbed

Jodhpur

Rajasthan

Kalau

Morinda citrifolia

Partly disturbed

Kalau, Jodhpur

Rajasthan

DNA extraction

DNA was extracted from 100 mg of leaf samples of Morinda spp. using AuPrep DNA easy plant mini kit. DNA quantification was done using NANODROP 1000 (Thermo Scientific) spectrophotometer. Stock DNA was stored at -20°C and 20 ng working DNA solution was prepared for ISSR profiling.

ISSR analysis

PCR amplification was carried out with 100 ng of genomic DNA, 2.5 mM MgCl2, 1U Taq DNA polymerase, 1x PCR buffer without MgCl2, 1.0 µM ISSR primer and 0.2 mM dNTP mix. The volume was made up to 25 µl with sterile distilled water. Thermocycling conditions used for PCR were as follows: denaturation at 94°C for 5 min; thirty-five cycles of denaturation at 94°C for 1 min, primer annealing at 48 to 55°C for 1 min and primer extension at 72°C for 2 min and final extension step at 72°C for 7 min. PCR products were run on 1.6 % agarose gel and photographs were taken on SYNGENE G: Box Chemi XT4 Gel Documentation unit.

Data analysis

ISSR bands were scored as absent (0) or present (1). Genetic similarity among genotypes was evaluated by calculating the Jaccard’s similarity coefficient and cluster analysis was performed using the UPGMA (Unweighted Pair Group Method of Arithmetic Means) algorithm (Rohlf 1998). Genetic parameters were estimated by Nei’s gene diversity statistics (Nei 1973) using POPGENE version 1.32 (Yeh et al. 2000). Structure 2.3.4 (Prichard et al. 2000) and Structure Harvester (Earl and vonHoldt 2012) were used to know the genetic structure existing among the Morinda genotypes at K ranging from 1 to 10 with five iterations each (burn-in period of 100000 and number of Markov Chain Monte Carlo (MCMC) repetitions of 100000) using the admixture model.

Results

ISSR analysis

Fifteen ISSR primers were used to profile 31 Morinda genotypes belonging to two different species and yielded a total of 176 clear and bright bands and the number of bands varied from 5 (GT)8YG to 22 (AG)8T with an average of 11.7 bands per primer. Of 176 bands, 159 bands (90.34%) were found to be polymorphic and average number of polymorphic bands was 10.6. In case of Morinda tomentosa and Morinda citrifolia the %polymorphism was 69.89% and 30.68% respectively showing higher polymorphism in Morinda tomentosa.

Genetic diversity and differentiation

The mean Nei’s gene diversity value for all the 31 genotypes was 0.27 ± 0.18 and Shannon’s information index ranged from 0.03 to 0.52 with a mean of 0.42 ± 0.24 (Table 2) revealing considerable genetic diversity in Morinda spp. This may be due to the reason that genotypes used in this study belonged to two different species and different geographical locations of India (Gujarat, Rajasthan, Tamil Nadu and Kerala). Averaged over all the markers and genotypes, Morinda tomentosa displayed higher genetic variation (0.21 ± 0.19) as compared to Morinda citrifolia (0.12 ± 0.20) and also higher mean Shannon’s information index for Morinda tomentosa (0.32 ± 0.27) as compared to Morinda citrifolia (0.17 ± 0.28). The ISSR primers varied in their power to detect diversity and the primers BDB(CA)7, (GT)6AY, (AC)8YT, HVH(TG)7 and (AC)8YA were selected as the most informative markers based on high Nei’s gene diversity. And the least informative primer was (GT)8YG, as it showed very low Nei’s gene diversity.

Table 2

Characteristics of ISSR markers used for diversity analysis in Morinda spp.

Primers

Total

Bands

(no.)

No. of

Polymorphic

bands

%

Polymorphism

Size range of bands (bp)

Nei's gene diversity

Shannon's Information Index

(AC)8YT

14

12

85.71

275–1500

0.33

0.48

(GA)9AT

12

12

100.00

350–2500

0.29

0.43

BDB(CA)7

17

17

100.00

250–950

0.35

0.53

(AGC)4Y

14

14

100.00

250–2250

0.34

0.51

HVH(TG)7

9

9

100.00

300–1000

0.36

0.53

(CA)6 RG

14

13

92.86

275–1800

0.27

0.41

(AG)8T

22

20

90.91

275–2000

0.21

0.34

VHV(GT)7

11

10

90.91

260–1100

0.29

0.44

(GT)8YG

5

2

40.00

260–500

0.01

0.03

(GT)6AY

6

6

100.00

450–1250

0.35

0.52

(GA)8T

8

7

87.50

260–950

0.23

0.36

(AC)8YA

9

7

77.78

250–750

0.32

0.46

AC)8T

11

7

63.64

300–3000

0.14

0.23

(GA)8C

6

5

83.33

325–900

0.23

0.37

(AG)8C

18

18

100.00

250–2000

0.25

0.39

Average

11.7

10.6

90.34

 

0.27 ± 0.18

0.42 ± 0.24

Cluster Analysis

Genetic similarity was calculated among the 31 Morinda genotypes belonging to Morinda citrifolia and Morinda tomentosa species based on 176 scored bands. Genetic similarity coefficient between pairs of genotypes was obtained from the marker data based on Jaccard’s coefficients using NTSYS-pc. ver. 2.1 software. Jaccard’s similarity coefficients among the 31 genotypes ranged from a maximum of 1.0 (‘Kerala 2’ and ‘Kerala 4’) to a minimum of 0.186 (Dharampuri and Jodhpur City 2) with an average of 0.55. Two Kerala samples of Morinda citrifolia were showing maximum similarity and genotypes from Tamil Nadu (Morinda tomentosa) and Rajasthan (Morinda citrifolia) were found most distant.

Jaccard’s similarity coefficients generated from the ISSR marker data were used to construct a dendrogram. UPGMA clustering reflected the grouping of 31 genotypes into two clusters (Fig. 2). The cluster ‘I’ consisted of 15 genotypes, including Dharampuri (Tamil Nadu) genotype as outliers of cluster I. Cluster I genotypes belonged to Morinda tomentosa species. Cluster I was further subdivided into two subgroups Ia and Ib. All the genotypes except one from Gujarat were present in subgroup Ia and genotypes from Rajasthan were placed in subgroup Ib and further in subgroup Ib also two genotypes from Bundi were present as outliers of Ib and all the genotypes from Kota were grouped together in Ib. The cluster ‘II’ consisted of 16 genotypes, from Morinda citrifolia species. Cluster II was further subdivided into two subgroups IIa and IIb. In subgroup IIb all the genotypes were from Jodhpur, Rajasthan. In subgroup IIa all the genotypes were from Kerala.

Structure Analysis

STRUCTURE analysis revealed two groups G1 and G2 based on delta K value which was settled at 2. G1 (Ia and Ib of UPGMA cluster) contained all the genotypes from Morinda tomentosa and G2 (IIa and IIb of UPGMA cluster) genotypes were from Morinda citrifolia (Fig. 3). These results were consistent with UPGMA cluster analysis.

Discussion

Morinda tomentosa and Morinda citrifolia, the flowering plant species of the genus Morinda are known for their immense health benefits because of the presence of secondary metabolites of medicinal importance and nutritional value due to excellent source of minerals and vitamins. Other than this, these species also provide wood, dye, oil etc. and can be used as bio-sorbents. Molecular characterization of such valuable species is essential for making strategies for their collection and conservation followed by its utilization. Molecular markers (RFLPs, AFLPs, RAPD, ISSR, SCoT, SSRs etc.) are very well recognized for assessing the level of genetic diversity (Powell et al. 1996). RAPD, ISSR and SCoT markers were used earlier to find the level of genetic diversity in Morinda spp. also (Singh et al. 2011; Singh et al. 2012; Arya et al. 2013; Arya et al. 2014). These studies predicted the level of genetic diversity in the samples collected from Andaman and Nicobar Islands, Tamil Nadu, Karnataka, Gujarat and Madhya Pradesh.

The present study was carried out to assess a) the level of genetic diversity between and within Morinda tomentosa and Morinda citrifolia collected from diverse geographical locations of India using ISSR markers b) use of ISSR markers in species differentiation in Morinda. ISSRs were chosen for the present study as these are simple to perform, more reproducible, stable than RAPD, multi-locus dominant marker system and have been used for diversity analysis, population structure analysis, DNA finger printing, phylogenetic analysis etc. in different plant species (Ansari et al. 2012; Zhang et al. 2015; Kumar et al. 2016; Ana-Cruz et al. 2017).

In the present study, ISSR markers revealed 90.34% polymorphism among the 31 Morinda genotypes belonging to Morinda tomentosa from Gujarat, Rajasthan and Tamil Nadu and Morinda citrifolia from Kerala and Rajasthan. The mean Nei’s gene diversity and Shannon’s information index values also revealed considerable genetic diversity in our genotypes.

In an earlier study by Singh et al. 2011 in 22 accessions of M. citrifolia, M. tinctoria and M. pubescens based on ISSR markers, polymorphism level of 56.02% was reported, which is very less than the polymorphism level reported in the present study. Our results indicated higher genetic variability in the Morinda genotypes collected from Gujarat, Rajasthan, Tamil Nadu and Kerala. So these regions must be explored thoroughly to collect the maximum diversity available in these regions for conservation, characterization and utilization.

Genetic relatedness analysis based on Jaccard’s similarity coefficients values revealed maximum similarity between the two genotypes of M. citrifolia from Thalikkulam and Valappadu, Thrissur, Kerala and maximum dissimilarity was observed between genotypes from Tamil Nadu (Morinda tomentosa) and Rajasthan (Morinda citrifolia).

Coming to species level, the two species M. tomentosa and M. citrifolia were grouped separately based on UPGMA as well as Structure analysis and clearly distinguished based on ISSR markers thereby confirming the utility of ISSR markers in phylogenetic analysis of Morinda genus. A recent study by Kumar et al. 2016 found ISSR markers better than psbA-trnH sequences in phylogenetic studies of Ocimum L. genus and thereby supports our study confirming the role of ISSR markers in species differentiation. Further, M. tomentosa showed higher polymorphism and genetic variation as compared to M. citrifolia. So the advantage of higher diversity in M. tomentosa must be advanced for its utilization in nutraceutical, nutritional and other purposes.

Within respective species viz. Morinda tomentosa the genotypes from Gujarat, Rajasthan and Dharampuri (Tamil Nadu) were clustered as distinct ecotypes, with Dharampuri genotypes as the most diverse among the three regions. Similarly, within Morinda citrifolia most of the genotypes from Kerayamparambu, Thrissur were separately grouped, emphasizing the utility of ISSR markers in genetic relatedness, species differentiation and geographic patterning studies. So in order to conserve the overall diversity of both the species, genotypes from all the regions should be collected. In-situ farm conservation should be promoted in the respective regions, including a substantial number of genotypes from that region.

Conclusion

Unique ISSR profiles were generated for genotypes from M. tomentosa and M. citrifolia species. Higher genetic variability and polymorphism was observed in M. tomentosa as compared to M. citrifolia. Further genotypes collected from different eco-geographical regions were clustered in well-defined groups. ISSR markers proved as excellent, informative and effective marker system for species differentiation, geographic patterning, genetic diversity and relatedness studies of Morinda spp. The information generated during the present study will certainly aid in proper management of Morinda genetic resources in terms of exploration, conservation and utilization.

Declarations

Acknowledgements

Authors are thankful to WNRF, Chennai, India for funding and Director, ICAR-NBPGR, New Delhi, India for carrying out the Research work.

Funding: Funding was provided by WNRF, Chennai, India (Grant No. 61-WNRF-GCD-VG-10)

Conflict of interest: The authors declare that they have no conflict of interest.

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