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DEVELOPMENT AND POLYMORPHISM OF SIMPLE SEQUENCE REPEAT (SSR) DNA MARKERS FOR Duabanga moluccana BLUME Llew Kit Siong Master of Science 2012 .

DEVELOPMENT AND POLYMORPHISM OF SIMPLE … and polymorphism of simple... · repeats (16.7%). ... serta perfect/imperfect compounds. Kelas yang paling . IV . ... Petanda SSR yang bam

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DEVELOPMENT AND POLYMORPHISM OF SIMPLE SEQUENCE REPEAT (SSR) DNA MARKERS FOR Duabanga moluccana BLUME

Llew Kit Siong

Master of Science 2012 .

Posat Khidlllat Malduma( Akademik UNIVERSm MALAYSIA SARAWAK

DEVELOPMENT AND POLYMORPHISM OF SIMPLE SEQUENCE REPEAT (SSR) DNA MARKERS FOR Duabanga moluccana BLUME

Liew Kit Siong

A thesis submitted in fulfillment of the requirements for the degree of Master of Science

Faculty of Resource Science and Technology UNIVERSITI MALAYSIA SARA W AK

2012

ACKNOWLEDGEMENTS

Though the following dissertation is an individual work, it would not have been possible

without the support, guidance and efforts of numerous people. It is a pleasant aspect that I

have now the opportunity to express my gratitude to all of them.

I express my deepest thanks to my supervisor, Dr. Ho Wei Seng for providing an

opportunity to work in this project, continuous support, excellent supervision and

encouragement throughout this work. I also very thankful to Dr. Pang Shek Ling for her

guidance in laboratory works, suggestions and discussions during my studies.

I acknowledge the Universiti Malaysia Sarawak (UNlMAS) and Sarawak Forestry

Corporation for providing financial support for my studies. My appreciation also goes to the

Ministry of Science, Technology & Innovation (MOSTI) for providing me the Postgraduate

Studies (PASCA) Scholarship.

I would like to express my wann gratitude to Ms. Kamaliawati Bt. Yusop as a

laboratory assistant. I am also thankful to all my labmates for their friendship, support and

many interesting academic and non-academic discussions. My deepest of and genuine

gratitude is extended to my family for their unconditional support. They give me strength and

help me in countless ways. Finally, my special thanks to many others who could not be

mentioned here, but who had contributed to this work. Thanks to them, too.

ABSTRACT

.r

~ Duabanga moluccana Blume (or locally known as Sawih) is an indigenous fast growing tree

species that has been selected for planted forest development in Sarawak. It possesses great

commercial values in production of various wood products. Therefore, the development of an

array of simple sequences repeats (SSRs) or micro satellite DNA based-markers is absolutely

necessary to study the genetic makeup of this species. These molecular markers had been

rapidly used in the selection of plus trees, quality control in seed production, investigation of

population genetics and conservation management. Isolation of high-quality genomic DNA

from D. moluccana is vital for molecular marker development as well as other downstream

application) In the present study, an improved method of total DNA isolation from D.

moiuccana was established. These modifications include: 1) precipitating DNA with '/3

volwne of 5 M NaCI together with isopropanol; 2) using I% ~-mercaptoethanol in the

extraction buffer; 3) sample incubation time of 40 minutes at 65 DC, and 4) adding a CIA

extraction step. By using this method, the isolated DNA was suitable for amplification and

restriction digestion analysis. In this study, we used ISSR-suppression method to develop

simple sequence repeats (SSRs) markers for D. moiuccana. Overall, 44 SSR regions were

identified. The microsatellite motifs contained simple perfect and simple imperfect

microsatellites constituted by di- and trinucleotides and, perfect/imperfect compounds. The

most nwnerous class was the perfect compound with 24 (54.5%) occurrences, followed by the

imperfect compounds with 8 (18.2%), simple perfect with 8 (18.2%), and the simple imperfect

repeats with 4 (9.1 %). Majority of the dinucleotide microsatellites found in the Sawih genome

was AG/GA/CT/TC repeats (83.3%) followed by ACICAITG/GT repeats (16.7%). Primer

pairs were designed for 43 SSR regions. The newly identified SSR markers were

11

r I ,....

characterized by screening DNA templates from 20 individuals of D. moluccana seedlings.

Among 43 primer pairs, 25 (58.1 %) SSR markers amplified the expected fragments size while

17 (39.5%) produced unexpected PCR products or multiple bands. One primer did not

generate amplification products in most of the Sawih samples. A total of 115 alleles were

detected across 25 loci analysed. The number of alleles per locus ranged from 2 to 8, with a

mean value of 4.60. Polymorphism Information Content (PIC) values ranged from 0.225 to

0.792, with an average of 0.604. A success rate of transferability of D. moluccana

microsatellite markers varied, ranging from 84% in Duabanga grand~flora, 36% in

Neolamarckia cadamba, 24% in Canarium odontophyllum and 28% in Shorea parvifolia. The

development of an array of microsatellite markers herein could be applied to generate useful

baseline genetic information for effective selection of plus trees, provenance trials, and

establislunent of forest seed production areas (SPAs) of D. moluccana in the selected forest

reserves for tree plantation and improvement activities. Besides, the transferability of the

newly developed microsatellites markers across a range of species and genera suggests their

potential usefulness for a variety of population genetic studies.

Keywords: Duabanga molllccana Blume, simple sequences repeats markers development,

ISSR-suppression method

III

PEMBANGUNAN DAN POLIMORFISME PETANDA DNA SIMPLE SEQUENCE

REPEA TS (SSR) UNTUK Duabanga moluccana BLUME

ABSTRAK

Duabanga moluccana Blume (atau nama tempatan yang dikenali sebagai Sawih) adalah

spesies pokok asli yang cepat tumbuh dan telah dipilih untuk tujuan pembangunan hutan di

Sarawak. Ia mempunyai nilai-nilai komersial yang tinggi dalam penghasilan pelbagai prodllk

kayu. Oleh itu, pembangllnan satu set petanda DNA iaitu simple sequence repeats (SSRs) atau

mikrosatelit adalah amat diperlukan untuk mengkaji komposisi genetik bag; spesis ini. Kini,

penanda molekul in; telah pesat digunakan dalam pemilihan pokok yang unggul, kawalan

kualiti dalam pengeluaran biji benih, penyiasatan genetik populasi dan pengurllsan

pemuliharaan. Pemencilan DNA genomik yang berkualiti tinggi daripada D. moluccana juga

adalah penting untuk pembangunan penanda molekul serta aplikasi-aplikasi lanjutan. Dalam

kajian ini, kaedah yang optimal pengasingan DNA telah ditllbuhkan untuk D. moluccana.

Pengubahsuaian ini adalah termasuk: J) pemendakan DNA dengan Ih isipadu 5 M NaCl

bersama-sama dengan isopropanol; 2) menggunakan J% fJ-mercaptoethanol dalam larutan

pemencilan; 3) masa pengeraman sampel, 40 minit pada 65°C, dan 4) menambah langkah

pengekstrakan CIA. Dengan menggunakan kaedah ini: DNA yang telah dipencilkan adalah

sesllai untuk amplifikasi dan enzim penyekatan analisa. Selain itu, kami telah menggunakan

kaedah ISSR-suppression untuk membangunkan simple sequences repeats (SSRs) petanda

bagi D. molliccana. Secara keselunthan, 44 SSR lokasi telah dikenalpasti. Mikrosatelit mott!

yang dikenalpasti terdiri daripada simple pelfeet dan simple imperfect mikrosatelit

(mengandungi di- dan trinucleotides) serta perfect/imperfect compounds. Kelas yang paling

IV

banyak adalah pelfect compound dengan jumlah bilangan 24 (54.5%), diikuti imperfect

compounds dengan 8 (18.2%), simple pelfect dengan 8 (18.2%), dan simple impelfect repeats

dengan 4 (9.1%). Majoriti mikrosatelit dinukleotida yang ditemui dalam genom Sawih adalah

AGIGAICTITC repeat (83.3%) diikllti oleh ACICAITGIGT repeat (16.7%). Pasangan primer

telah direka untuk 43 SSR lokasi. Petanda SSR yang bam dikenal pasti telah dis!fatkan

dengan menggunakan 20 D. moluccana semai individu. Di kalangan 43 pasangan primer, 25

(58.1%) SSR penanda telah mengamplijikasikan saiz serpihan yang dijangka manakala 17

(39.5%) menghasilkan produk PCR yang tidak dijangka atallpun band berganda. Manakala

satu primer tidak menghasilkan produk dalam kebanyakan sampel Sawih. Sebanyak 115 aIel

telah dikesan di selunth 25 lokus yang dianalisis. Bilangan aiel per lokus adalah antara 2 - 8

dengan min 4.60. Nilai PIC adalah antara 0.225 - 0.792 dengan min 0.604. Kadar

kebolehpindaan penanda mikrosatelit D. moluccana adalah berbeza, dengan 84% pada

Dliabanga grandiflora, 36% pada Neolamarckia cadamba, 24% pada Canarillm

odontophyllum dan 28% pada Shorea parvifolia. Pembangunan satu set penanda mikrosatelit

dari kajian ini boleh digunakan lIntuk menghasilkan garis dasar maklumat genetik yang

berguna untuk pemilihan pokok yang zmggul, percubaan asal mula, dan penubuhan kawasan­

kawasan hlltan pengeluaran benih D. moluccana dalam hutan simpan yang dipilih untuk

perladangan pokok dan peningkatan aktiviti. Di samping itu, kebolehan pemindahan petanda

mikrosatelit yang baru dibangunkan melintasi pelbagai spesies dan genus telah menunjukkan

potensi mereka lIntuk pelbagai kajian genetik populasi.

Kata Klinci: Duabanga moluccana, pembangzl11an petanda simple sequences repeats, kaedah

ISSR-s uppress ion

v

,.. Pusat Khidmat Maklumat Akademik UNlVERSm MALAYSIA· SARAWAK

TABLE OF CONTENTS

ACKNOWLEDGMENTS

ABSTRACT 11

ABSTRAK IV

TABLE OF CONTENTS VI

LIST OF TABLES IX

LIST OF FIGURES X

LIST OF ABBREVIATIONS XV11

CHAPTER I

CHAPTER II

2.1 Duabanga moluccana Blume 6

2.2 Molecular Genetic Markers 9

2.3 Microsatelli tes 14

INTRODUCTION

LITERATURE REVIEW

2.2.1 Molecular Markers in Forestry Research 12

2.3.1 General Characters of Microsatelli tes 14

2.3.2 Genome Distribution of Microsatellites 18

2.3.3 Polymorphism of Microsatellites 20

2.3.4 Theoretical Mutation Models for Microsatellites 23

2.3.5 Functional Roles of Microsatellites in the Genome 28

2.3.6 Advantages of Microsatellite Markers 31

2.3.7 Strategies for Development of Microsatellites Markers 34

2.3 .8 Applications of Microsatellite Markers 40

VI

CHAPTER III MATERIALS AND METHODS 44

3.1 Total Genomic DNA Isolation 44

3.1.1 Plant Materials 44

3.1.2 Chemicals Reagents and Solutions 44

3.1.3 Optimization of DNA Isolation Protocol 45

3.1.4 DNA Purification Protocol 46

3.1.5 Genomic DNA Analysis and Quantification 46

3.2 Development of Simple Sequence Repeats (SSRs) DNA Markers 47

3.2.1 Cloning and Sequencing ISSR Amplified Fragments and Primer 48 Design

3.2.1.1 Optimization oflSSR-PCR Conditions 48

3.2.1.2 PCR Products Purification 49

3.2.1.3 Ligation of ISSR-PCR Products 50

3.2.1.4 Bacterial Transformation 51

3.2.1.5 Blue and White Colony Screening 51

3.2.1.6 Plasmid Isolation and Purification 52

3.2.1.7 Confirmation for Desired Insert 53

3.2.1.8 Sequencing and Primer Design 54

3.2.2 Constructions of DNA Libraries 55

3.2.3 Identification ofthe Other Sequence Flanking the SSR Region 56

3.2.4 SSR Regions Identification and Primer Design 57

3.2.5 SSR Markers Validation 58

3.2.6 Analysis of Polymorphism of SSR Markers 59

Vll

CHAPTER IV

4.1

4.2

4.3

CHAPTER V

REFERENCES

APPENDIX

RESULTS AND DISCUSSION

Genomic DNA Isolation

4.1.1 Genomic DNA Isolation Using a Modified DNA Isolation Protocol

Development of Simple Sequence Repeats (SSRs) DNA Markers

4.2.1 Cloning and Sequencing of ISSR Fragments and Primer Design

4.2.1.1 Optimization of ISSR-PCR Conditions

4.2.1.2 Cloning ofISSR-PCR Products

4.2.1.3 Sequencing and Primer Design

4.2.2 Construction of DNA Libraries

4.2.3 Identification of the Other Sequence Flanking the SSR Region

4.2.4 SSR Repeats Identification and Primer Design

4.2.5 SSR Markers Validation

4.2.6 Polymorphism of SSR Markers

Sawih SSR Markers Transferability

CONCLUSIONS

Appendix A

(a) pGEM'!\'-T Easy vector map. (b) The promoter and multiple cloning sequence of the pGEM~l-T Easy vectors. (Source: Promega Manual ofpGEM®-T and pGEM®-T Easy Vector Systems, 2005).

60

60

61

67

67

67

70

75

85

86

90

100

113

119

124

126

167

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TABLE NO.

Table 2.1

Table 3.1

Table 3.2

Table 3.3

Table 3.4

Table 3.5

Table 3.6

Table 3.7

Table 3.8

Table 3.9

Table 4.1

Table 4.2

Table 4.3

Table 4.4

Table 4.5

Table 4.6

LIST OF TABLES

PAGE

Comparison of different characteristics of molecular markers 11 techniques

Thennal cycling profile for PCR reaction 48

Ligation reaction mixture and volume 50

Thennal cycling profile for colony PCR reaction 52

Restriction digestion reaction mixture and volume 53

PCR reaction mixture, concentration and volume 54

Ligation reaction mixture and volume 56

Thennal cycling profile for PCR reaction 56

Thennal cycling profile for PCR reaction 57

Thennal cycling profile for PCR reaction 59

Optimum ISSR-PCR conditions for different primers 67

Primer sequences, complexity, type, size (bp) of each identified 96 SSR repeat moti f based on Lian et al. (200 I) method

Primer sequences, complexity, type, size (bp) of each identified 98 SSR repeat motif based on a modified protocol Lian et al. (2006)

Polymorphism of 25 microsatellite loci in 20 Sawih genotypes

Allelic variation among SSR loci 115

Cross-species amplification of Sawih microsatellite markers in 122 four different tree species

IX

,..

FIGURE NO.

Figure 2.1

Figure 2.2

Figure 2.3

Figure 2.4

Figure 2.5

Figure 2.6

Figure 2.7

Figure 4.1

Figure 4.2

Figure 4.3

LIST OF FIGURES

Dllabanga molliccana (a) Seedlings, (b) Flowers, (c) Matured fruits and (d) Mature tree.

Example of microsatellites made up from mono-, di-, tri, tetra-, penta-, and hexanucleotide repeats, respectively.

Example of microsatellite repeats in D. molliccana (a) Perfect dinucleotide repeat - (AG)n; (b) Imperfect dinucleotide repeat ­(AG)6GG(AG)3 interrupted by (G) and (c) Compound SSR ­(ACMAG)s.

Model of the unequal crossing over between homologous chromosomes. Repeat units are denoted by arrows. Numbers refer to the unit number within each strand. Adapted from Park et al. (2009).

Model of the SSM mutation process at microsatellite loci. Repeat units are denoted by arrows. Numbers refer to the unit number within each strand. Bulging is the presence of non-base-pair base residues interrupting a regular 2-strand DNA helix. Adapted from Belkum et al. (1998) .

Schematic representation of traditional methods for microsatellites isolation and the alternative PIMA approach. Adapted from Zane et al. (2002).

Schematic representation of microsatellite enrichment by selective hybridization. Adapted from Hussain et al. (2009) .

Electrophoresis of unpurified DNA samples on 0.8% agarose gel. Lanes 1 & 2: Genomic DNA isolated from D. moluccana leaves.

Electrophoresis of DNA samples on 0.8% agarose gel (a) Unpurified genomic DNA. (b) Purified genomic DNA. Lanes 1 and 2: Genomic DNA isolated from D. moluccana leaves.

Electrophoresis of PCR amplified ISSR products on 1.5% agarose gel using (AC)IO primer with different DNA concentrations. Lane I: 2ng/JlI, Lane 2: 20ng/JlI, Lane 3: 30ng/JlI, Lane 4: 40ng/JlI and Lane 5: SOng/ill. Lane M: 1 kb DNA ladder (Promega, USA).

I

PAGE

8

15

16

21

22

36

38

61

62

x

63

Figure 4.4 Restriction enzyme analysis of total genomic DNA isoiated from Sawih on a 0.8% agarose gel. Lane 1: AluI, Lane 2: EcoRV, Lane 3: HaeIII, Lane 4: RsaI and Lane 5: SspI. Lane P: Undigested genomic DNA (Negative control).

63

Figure 4.5 Electrophoresis of PCR amplified ISSR products on 1.5% agarose gel using (GTG)6 primer. (a) Ta optimization (55 - 65°C) (b) MgCIz optimization. Lanes I: 1.5 mM MgCIz,2: 2.0 mM MgClz; 3: 2.5 mM MgCl2 and 4: 3.0 mM MgCI2. Lanes M: I kb DNA ladder (Promega, USA).

68

Figure 4.6 Electrophoresis of PCR amplified ISSR products on 1.5% agarose gel using (AG)1O primer. (a) Ta optimization (55 - 65°C), (b) MgCh optimization. Lanes I: 1.5 mM MgCI2; 2: 2.0 mM MgCI2; 3: 2.5 mM MgCIz and 4: 3.0 mM MgCIz. Lanes M: I kb DNA ladder (Promega, USA).

68

Figure 4.7 Electrophoresis of PCR amplified ISSR products on 1.5% agarose gel using (AC)1O primer. Ta optimization and MgCIz optimization. Lanes 1: 2.0 mM MgClz; 2: 2.5 mM MgCIz and 3: 3.0 mM MgCIz. Lanes M: I kb DNA ladder (Promega, USA).

69

Figure 4.8 Electrophoresis of PCR amplified ISSR products on 1.5% agarose gel using (AC)6(AG)5 primer. Ta optimization (55 - 65°C). Lane M: 100 bp DNA ladder (Promega, USA).

69

Figure 4.9 Electrophoresis of PCR amplified ISSR products on 1.5% agarose gel using (TC)6(AC)5 primer. Ta optimization (55 - 65°C) (b) MgCIz optimization. Lane M: I kb DNA ladder (Promega, USA).

70

Figure 4.10 Gel electrophoresis of ISSR-PCR products using (GTG)6 primer on 1.5% agarose gel. (a) Unpurified ISSR-PCR product. (b) Purified ISSR-PCR product. Lane I: 485 bp; Lane 2: 601 bp and Lane 3: 712 bp. Lane M 1: 1 kb DNA ladder (Promega, USA). Lane M2: A HindlII DNA marker (Promega, USA).

71

Figure 4.11 (a) Growth observed on a LB culture plate containing ampicillin, IPTG and X-gal. (b) Electrophoresis ·of PCR products on 1.5% agarose gel using M 13 reverse and forward sequence primers. (i) Positive control. (ii) White colony with insert (485 bp). (iii) White colony with insert (601 bp). (iv) White colony with insert (712 bp). Lane M 1: I kb DNA ladder (Promega, USA). Lane M2 : 100 bp DNA ladder (Promega, USA).

72

Figure 4.12 Gel electrophoresis of recombinant plasmid DNA on 0.8% agarose gel. Lanes 1: 485 bp (GTG)6; 2: 601 bp (GTG)6 and 3: 712 bp (GTG)6. Lane M: Supercoiled DNA ladder (Invitrogen, USA).

73

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I Figure 4.13 Gel electrophoresis of PCR products on 1.5% agarose gel using M13 74

reverse and forward sequence primers. Lanes 1-2: 485 bp (GTG)6; 3­4: 601 bp (GTG)6 and 5-6: 712 bp (GTGk Lane M,: I kb DNA ladder (Promega, USA). Lane M2 : 100 bp DNA ladder (Promega, USA).

Figure 4.14 Gel electrophoresis of EcoRI restriction analysis of the recombinant 75 plasm ids on 1.0% agarose gel. Lane M,: I kb DNA ladder. Lane M2 :

100 bp DNA ladder (Promega, USA).

Figure 4.l5 (a) ISSR fragment containing the microsatellite sequence at only one 76 end (b) ISSR fragment flanked by two microsatellite sequence at the both ends with opposite orientations as highlighted in grey.

Figure 4.16 Three different ISSR sequences amplified by using a microsatellite 77 (GTG)6 primer.

Figure 4.17 ISSR-PCR sequence amplified by using a microsatellite (AC)IO 78 primer. IP I and IP2 primers were designed based on ISSR sequence flanking the SSR region as highlighted in grey.

Figure 4.18 ISSR-PCR sequence amplified by using a microsatellite (AG)IO 79 primer. IP I and IP2 primers were designed based on ISSR sequence flanking the SSR region as highlighted in grey.

Figure 4.19 ISSR-PCR sequence amplified by using a microsatellite (GTG)6 80 primer. IP I and IP2 primers were designed based on ISSR sequence flanking the SSR region as highlighted in grey.

Figure 4.20 ISSR-PCR sequence amplified by using a microsatellite (GTG)6 81 primer. IP I and IP2 primers were designed based on ISSR sequence flanking the SSR region as highlighted in grey.

Figure 4.21 ISSR-PCR sequence amplified by using a microsatellite (GTG)6 82 primer. IP I and IP2 primers were designed based on ISSR sequence flanking the SSR region as highlighted in grey.

Figure 4.22 ISSR-PCR sequence amplified by using a microsatellite (AG)IO 83 primer. IP I and IP2 primers were designed based on ISSR sequence flanking the SSR region as highlighted in grey.

Figure 4.23 ISSR-PCR sequence amplified by using a microsatellite (AC)IO 84 primer. IPI and IP2 primers were designed based on ISSR sequence flanking the SSR region as highlighted in grey.

XlI

Figure 4.24

Figure 4.25

Figure 4.26

Figure 4.27

Figure 4.28

Figure 4.29

Figure 4.30

Figure 4.31

Figure 4.32

Example of amplification PCR products obtained using a walking 87 method (Siebert et al., 1995) to detennine the other flanking region ofa microsatellite. (a) Primary PCR products amplified with the API and AG473 IP1. (b) Nested PCR products amplified with the AP2 and AG473 IP2. Lanes 1-5: PCR products obtained from the Lane 1: AluI; Lane 2: EcoRV; Lane 3: HaeIII; Lane 4: RsaI and Lane 5: SspI restricted-DNA libraries, respectively. Lanes M: 100 bp DNA ladder (Promega, USA).

Example of amplification PCR products obtained using a walking 87 method (Siebe11 et al., 1995) to detennine the other flanking region of a microsatellite. (a) Primary PCR products amplified with the AP 1 and AC584 IP1. (b) Nested PCR products amplified with the AP2 and AC584 IP2. Lanes 1-5: PCR products obtained from the Lane 1: AluI; Lane 2: EcoRV; Lane 3: HaeIII; Lane 4: RsaI and Lane 5: SspI restricted-DNA libraries, respectively. Lanes M: 100 bp DNA ladder (Promega, USA).

Nested PCR products amplified with the AP2 and AC584 IP2 for 89 restricted DNA library Alui. Lane 1: 55.0 °C; Lane 2: 55.2 °C; Lane 3: 55 .7 °C; Lane 4: 56.6 °C; Lane 5: 57.8 °C; Lane 6: 59.1 °C; Lane 7: 60.5 °C; Lane 8: 61.8 °C; Lane 9: 63.1 °C; Lane 10: 64.2 °C; Lane 11: 65.0 °C; Lane 12: 65 .5 0c. Lane M: 100 bp DNA ladder (Promega, USA).

Nested PCR products amplified with AP2 and DMAC584 IP2 for 89 restricted-DNA library All/I. Lanes 1-10: Serial dilution (10- 1 to 10­10). Lane M: 100 bp DNA ladder (Promega, USA).

Frequency of microsatellites identified based on two different 90 methods (a) Lian et al. (2001) and a modified protocol of Lian et al. (2006) .

Frequency of different types of SSR repeat motifs identified in Sawih 91 genome.

Frequency of SSR loci obtained from five different ISSR primers. 94

Forward and reverse primers binding sites flanking the SSR repeat - 95 (GA)3CACC(GA)7 as marked in bold.

Electrophoresis of SSR-PCR product on 3.5% metaphor gel by using 100 (a) DMAC02; (b) DMAC03; (c) DMAC04 and (d) DMGTG02 microsatellite primers. Lanes 1-12: Ta optimization (50 - 60°C). Lanes M: 100 bp DNA ladder (Prom ega, USA).

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Figure 4.33 Electrophoresis of SSR-PCR product on 3.5% metaphor gel by using DMTCAC02 microsatellite pnmer with different annealing temperature (55 - 65°C). Lane M: 100 bp DNA ladder (Promega, USA).

101

Figure 4.34 Polymorphism of a microsatellite marker DMTCAC 11. Electrophoresis of amplified products on 3.5% metaphor agarose gel. M 1: 100 bp DNA ladder (Prom ega, USA). M2: 25 bp DNA ladder (Invitrogen, USA).

102

Figure 4.35 Polymorphism of a microsatellite marker DMACAGOI. Electrophoresis of amplified products on 3.5% metaphor agarose gel. M1: 100 bp DNA ladder (Promega, USA). M2: 25 bp DNA ladder (Invitrogen, USA).

102

Figure 4.36 Polymorphism of a microsatellite marker DMACOI. Electrophoresis of amplified products on 3.5% metaphor agarose gel. M: 25 bp DNA ladder (Invitrogen, USA).

103

Figure 4.37 Polymorphism of a microsatellite marker DMAC02. Electrophoresis of amplified products on 3.5% metaphor agarose gel. M: 25 bp DNA ladder (Invitrogen, USA).

103

Figure 4.38 Polymorphism of a microsatellite marker DMAC03. Electrophoresis of amplified products on 3.5% metaphor agarose gel. M: 25 bp DNA ladder (Invitrogen, USA).

103

Figure 4.39 Polymorphism of a microsatellite marker DMAC04. Electrophoresis of amplified products on 3.5% metaphor agarose gel. M1: 25 bp DNA ladder (Invitrogen, USA). M2: 100 bp DNA ladder (Promega, USA).

104

Figure 4.40 Polymorphism of a microsatellite marker DMAC05 . Electrophoresis of amplified products on 3.5% metaphor agarose gel. M 1: 25 bp DNA ladder (Invitrogen, USA). M2: 100 bp DNA ladder (Promega, USA).

104

Figure 4.41 Polymorphism of a microsatelIite marker DMAG02. Electrophoresis of amplified products on 3.5% metaphor agarose gel. M 1: 25 bp DNA ladder (Invitrogen, USA). M2: 100 bp DNA ladder (Promega, USA).

104

Figure 4.42 Polymorphism of a microsatellite marker DMGTG02. Electrophoresis of amplified products on 3.5% metaphor agarose gel. M 1: 25 bp DNA ladder (Invitrogen, USA). M2: 100 bp DNA ladder (Promega, USA).

105

Figure 4.43 Polymorphism of a microsatellite marker DMAG06. Electrophoresis of amplified products on 3.5% metaphor agarose gel. M 1: 100 bp DNA ladder (Promega, USA). M2: 25 bp DNA ladder (Invitrogen, USA).

105

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Figure 4.44 Polymorphism of a microsatellite marker DMAG07. Electrophoresis of amplified products on 3.5% metaphor agarose gel. M1: 25 bp DNA ladder (Invitrogen, USA). M2: 100 bp DNA ladder (Promega, USA).

105

Figure 4.45 Polymorphism of a microsatellite marker DMAG09. Electrophoresis of amplified products on 3.5% metaphor agarose gel. M 1: 25 bp DNA ladder (Invitrogen, USA). M2: 100 bp DNA ladder (Promega, USA).

106

Figure 4.46 Polymorphism of a microsatellite marker DMTCAC04. Electrophoresis of amplified products on 3.5% metaphor agarose gel. M1: 25 bp DNA ladder (Invitrogen, USA). M2: 100 bp DNA ladder (Promega, USA).

[06

Figure 4.47 Polymorphism of a microsatellite marker DMTCAC 13. Electrophoresis of amplified products on 3.5% metaphor agarose gel. M1: 25 bp DNA ladder (Invitrogen, USA). M2: 100 bp DNA ladder (Promega, USA).

106

Figure 4.48 Frequency of null alleles detected on each SSR primer. 107

Figure 4.49 Polymorphism of a microsatellite marker DMAG04. Electrophoresis of amplified products on 3.5% metaphor agarose gel. M 1: 25 bp DNA ladder (Invitrogen, USA). M2: 100 bp DNA ladder (Promega, USA).

110

Figure 4.50 Polymorphism of a microsatellite marker DMAG05. Electrophoresis of amplified products on 3.5% metaphor agarose gel. M: 25 bp DNA ladder (Invitrogen, USA).

110

Figure 4.51 Sequence alignments of three microsatellite alleles per Sawih individual amplified by DMAG05. Asterisks (*) indicate nucleotide conservation. The repeat regions are marked in bold and point mutation is highlighted in grey. Gaps (-) indicate the absence of nucleotides in given aHeles.

111

Figure 4.52 Sequence alignment of microsatellite alleles from two different individual Sawih trees. Asterisks (*) indicate nucleotide conservation. The repeat regions are marked in bold and point mutations are highlighted in grey. Gaps (-) indicate tne absence of nucleotides in given alleles.

112

Figure 4.53 A positive correlation between PIC 0.7349).

and number of alleles (R2 = 116

Figure 4.54 Cross-species amplification of SSR loci . Twenty-five primer pairs were tested for amplification in Duabanga grandiflora (DG), Neolamarckia cadamba (NC), Canarium odontophyllum (CO) and Shorea parvifolia (SP). Successful amplification in each species is shown as a percentage of the total number of primer pairs screened.

120

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Figure 4.55 Electrophoresis of peR products amplified with different Sawih SSR 123 markers. Lane 1 represents the D. grandiflora tree 1. Lane 2 represents the D. grandiflora tree 2. Lane M: 100 bp DNA ladder (Invitrogen, USA).

XVI

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LIST OF ABBREVATIONS

CIA

CTAB

ddH20

dNTP

DNA

EDTA

EtBr

IPTG

LB

MgCh

NaCI

NH40Ac

ISSR-PCR

PIC

PVP

RNA

RNase

TAE

TBE

TE

UV

X-gal

Chlorofonn-Isoamyl Alcohol

Cetyl trim ethyl ammonium Bromide

Double Distilled Water

Deoxynucleotide Triphosphate

Deoxyribonucleic Acid

Ethylenediamine Tetraacetic Acid

Ethidium Bromide

Isopropyl P-D-I-thiogalactopyranoside

Luria Broth

Magnesium Chloride

Sodium Chloride

Ammonium acetate

Inter-Simple Sequence Repeats-Polymerase Chain Reaction

Polymorphism Infonnation Content

Polyvinylpyrrilodone

Ribonucleic Acid

Ribonuclease

Tris-acetate-EDTA

Tris-borate-EDT A

Tris-EDTA

Ultraviolet

5-bromo-4-chloro-3-indolyl-b-D-galactopyranoside

XVIl

CHAPTER I

INTRODUCTION

The demand for quality wood is projected to increase dramatically in line with global

consumption requirements. This increasing demand is mainly forced by global population

growth and rise in socio-economic levels (F AO, 2010). The global consumption of industrial

round wood is estimated increase from 1707 million m3 in 1990 to 2436 million m3 in 2030

(FAO, 2009). However, the slow-growing of natural forests are unable to meet current global

demand for wood, resulting in the loss and degradation of natural forests (F enning and

Gershenzon, 2002). They further stated that the development of high-yielding with short

rotation plantation forests is vital to supply the bulk of humanity ' s wood needs on a long-term

basis. As reported by Datuk Len Talif Salleh (Sarawak State Forestry Department director),

the planted forests can generate more volume from a small area about 10 to 20 times more

than the natural forests and at the same time reduce dependency on natural forest (Borneo Post,

2010).

In line with these trends, Sarawak state government is targeting one million hectares of

land for planted forests development by year 2020. To date, state government has issued 43

licenses for planted forests and about 250,000 ha of planted forests have been achieved

(Borneo Post, 20 10). In Sarawak, planted forest development has been recognized as

sustainable method to supply raw materials for the timber-based industry, one of the ten

priority industries in Sarawak Corridor of Renewable Energy (SCORE). They also can

provide a number of social and environmental services such as rehabilitation of degraded

lands, soil and water protection, sequestering and storing carbon and, conservation of

biological diversity. In addition, planted forests also can create rural employment, help

communities raise their standard of living and contribute to sustainable development (F AO,

2010).

An important issue which should be addressed by any forest plantation programme is

the selection of plus stands for improved seed production. The development of site-specific

quality seeds is one of the most important approaches in any tree improvement programme to

maximize adaptability and yield potentials under stress-site condition (Goel and Behl, 200 I).

It is also important to ensure a sustainable supply of high-genetic quality seedlings as

approximately 30 million planting materials are required annually for planted forest

development in Sarawak.

In this regards, forest genetics and tree improvement researches will help respond to

the need to develop adequate tools for producing good quality seedlings that are of faster

growth, high-yield and high wood quality in the shortest of time at a reasonable cost.

Advances in genomics research, there has been a remarkable progress in the development of

an array of potential molecular markers, including RAPD, RFLP, AFLP, SSRs and other

markers for monitoring forest tree improvement activities ~uch as, measuring genetic variation

in breeding populations, gennplasm identification, verifying controlled crosses and estimating

seed orchard efficiencies (Neale et al., 1992). As explained by Westman and Kresovich

(1997), DNA-based markers play a vital role to detect variation for both coding and non­

coding DNA sequences from nuclear and organelle genomes. Nowadays, these molecular

2

markers bave proven their utility in fields like taxonomy, physiology, embryology, genetic

I

engineering, etc (Joshi et al., 1999; Mondini et al., 2009).

Simple Sequence Repeats (SSRs) or microsatellites are becoming a popular DNA

marker for genetic analysis in plants. According to Saha et al. (2003), microsatellites are a

class of repetitive DNA that is a ubiquitous component of eukaryotic genomes. Such loci are

found scattered throughout the genome and inherited in a Mendelian fashion (Moon et aI.,

1999). Microsatellites are consisting of a short motifs, typically mono-, di-, tri-, or

tetranucleotide repeats, which are repeated several times (Mahalakshmi et aI., 2002). They

almost invariably show extensive polymorphism, due to the variability in SSR repeat length as

a consequence of slippage during DNA replication or unequal-crossing over. The

hypervariability (with mutation rates ranging from 10-2 - 10-6 per locus per generation) in

species and populations is the key feature of SSRs as molecular markers (Chistiakov et aI.,

2006). To exploit microsatellites as DNA based-markers, they are assayed by PCR with

specifically designed primers to match unique sequences flanking the SSR region.

Conventionally, isolation of microsatellite loci involves construction of a genomic

library, screening with repeat oligonucleotide probes for the identification of positive clones,

designing and synthesis of primers (Roy et aI., 2004). However, these tasks are usually

labour-intensive, time-consuming and expensive because the proportional of microsatellites to

the entire genome is generally low (Lian et aI., 2001). In addition, the recovery rate of useful

SSRs is low due to non-specific amplification and monomorphic loci (Hayden and Sharp,

2001). An alternative method is by searching the SSR-containing sequences from the

available databases, e.g. EMBL and GenBank. This method is cost-effective, simple and

3

relatively quick but only applicable to species that are well represented in the databases

(Rakoczy-Trojanowska and Bolibok, 2004; Westman and Kresovich, 1997). In this study, we

used two different methods for SSR markers development in Sawih; namely Lian et al. (2001)

and a modified protocol of Lian et al. (2006). As explained by Lian et al. (200 I), such

methods are relatively simple without enrichment and screening procedures.

Of these PCR-based markers, SSRs display a high information content, as they are

codominant and highly multiallelic. Furthermore, they are usually transferable across closely

related species and it has been reported some classes of SSR constitute an important source of

quantitative genetic variation, coding for functional elements of protein molecules and serve

as regulatory elements of transcription (Kashi et al., 1997; Collevatti et aI., 1999; Yasodha et

al., 2005). Therefore, these markers have contributed greatly to the understanding of mating

systems and pollen dispersal patterns (Garcia et aI., 2005), construction of genetic maps

(Brondani et aI., 2006) and forensics (Craft et aI., 2007). Additionally, the attractive attribute

ofthis marker is especially in the case of species which show a low level of genetic variation,

inbred populations and geographically close populations (Rakoczy-Trojanowska and Bolibo,

2004). Butcher et al. (1999) also reported the use of SSR markers in monitoring the genetic

effects of forest management practices and fragmentation on genetic diversity and gene flow

in several forest tree species.

A large number of studies have been reported on the development and use of SSR

maricers, for example in Pinus contorta (Hicks et al., 1998), Shorea curtisii and other

Dipterocarpaceae species (Ujino et al., 1998), Acacia magnium (Butcher et al., 2000), Picea

abies (Scotti et al., 2000), Populus trichocarpa (Tuskan et al., 2004), and Cryptomeria

4

•Pusat Khidmat Maldumat Akademik UNIVERSm MALAYSIA SARAWAK

japonica (Tani et ai. , 2004). However, further study is required in order to evaluate the

generality of SSR conservation, to understand the evaluation of SSR markers during

speciation and the genetic mechanisms (Ujino et ai., 1998). Additionally, such isolation and

characterization of SSR markers in other tropical timber species is relatively lacking thus far.

Duabanga moluccana Blume, or locally known as Sawih is a timber species belonging

to the family Sonneratiaceae. The wood of D. moluccana confers various advantages for the

timber industry including production of wood works and products, such as plywood, veneer,

blockboard and interior joinery. Additionally, it is suitable for interior paneling, matches,

moulding and pulping (ClRAD, 2003). Owing to its fast-growing ability, D. moluccana has

been now identified as a species of great potential for planted forests development in Sarawak.

To date, the genetic information and molecular markers of this species are still scanty. Thus,

the objectives of this study are (I) to establish an efficient protocol for isolating pure and

high-molecular weight genomic DNA from D. moluccana; (2) to develop a set of simple

sequence repeats markers specific for genotyping D. moluccana trees and; (3) to investigate

the characteristics and polymorphisms of each newly developed SSR marker.

5