Genotyping SNPs in lignin biosynthesis gene (CAD1) and transcription factors (MYB1 and MYB2) exhibits association with wood density in teak (Tectona grandis L.f.)

Background Teak ( Tectona grandis L.f.), an important source of tropical timber with immense economic value, is a highly outcrossing forest tree species. 150 unrelated accessions of teak ( Tectona grandis L.f.) plus trees assembled as clones at National Teak Germplasm Bank, Chandrapur, Maharashtra,...

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Published inMolecular biology reports Vol. 51; no. 1; p. 169
Main Authors Bano, Nuzhat, Mohammad, Naseer, Ansari, Mohammad Israil, Ansari, Shamim Akhtar
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.12.2024
Springer Nature B.V
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Abstract Background Teak ( Tectona grandis L.f.), an important source of tropical timber with immense economic value, is a highly outcrossing forest tree species. 150 unrelated accessions of teak ( Tectona grandis L.f.) plus trees assembled as clones at National Teak Germplasm Bank, Chandrapur, Maharashtra, India was investigated for association mapping of candidate lignin biosynthesis gene ( CAD1 ) and transcription factors ( MYB1 and MYB2 ). Methods and Results The CAD1 , MYB1 and MYB2 were amplified using specifically designed primers. The amplified sequences were then sequenced and genotyped for 112 SNPs/11 indels. We evaluated the association between SNPs and wood density in teak accessions using GLM and MLM statistical models, with Bonferroni correction applied. The teak accessions recorded an average wood density of 416.69 kg.m −3 (CV 4.97%) and comprised of three loosely structured admixed sub-populations (K = 3), containing 72.05% genetic variation within sub-populations with low intragenic LD (0–21% SNP pairs) at P  < 0.05 and high LD decay (33–934 bp) at R 2  = 0.1. GLM and MLM models discounting systematic biases (Q and K matrices) to avoid false discovery revealed five loci at rare variants (MAF 0.003) and three loci at common variants (MAF 0.05) to be significantly ( P  < 0.05) associated with the wood density. However, the stringent Bonferroni correction (4.06–7.04 × 10 –4 ) yielded only a single associated locus (B1485C/A) from exon of MYB1 transcription factor, contributing to about 10.35% phenotypic variation in wood density trait. Conclusion Scored SNP locus (B1485C/A) can be developed as a molecular probe for selection of improved planting stock with proven wood density trait for a large-scale teak plantation.
AbstractList BackgroundTeak (Tectona grandis L.f.), an important source of tropical timber with immense economic value, is a highly outcrossing forest tree species. 150 unrelated accessions of teak (Tectona grandis L.f.) plus trees assembled as clones at National Teak Germplasm Bank, Chandrapur, Maharashtra, India was investigated for association mapping of candidate lignin biosynthesis gene (CAD1) and transcription factors (MYB1 and MYB2).Methods and ResultsThe CAD1, MYB1 and MYB2 were amplified using specifically designed primers. The amplified sequences were then sequenced and genotyped for 112 SNPs/11 indels. We evaluated the association between SNPs and wood density in teak accessions using GLM and MLM statistical models, with Bonferroni correction applied. The teak accessions recorded an average wood density of 416.69 kg.m−3 (CV 4.97%) and comprised of three loosely structured admixed sub-populations (K = 3), containing 72.05% genetic variation within sub-populations with low intragenic LD (0–21% SNP pairs) at P < 0.05 and high LD decay (33–934 bp) at R2 = 0.1. GLM and MLM models discounting systematic biases (Q and K matrices) to avoid false discovery revealed five loci at rare variants (MAF 0.003) and three loci at common variants (MAF 0.05) to be significantly (P < 0.05) associated with the wood density. However, the stringent Bonferroni correction (4.06–7.04 × 10–4) yielded only a single associated locus (B1485C/A) from exon of MYB1 transcription factor, contributing to about 10.35% phenotypic variation in wood density trait.ConclusionScored SNP locus (B1485C/A) can be developed as a molecular probe for selection of improved planting stock with proven wood density trait for a large-scale teak plantation.
BACKGROUND: Teak (Tectona grandis L.f.), an important source of tropical timber with immense economic value, is a highly outcrossing forest tree species. 150 unrelated accessions of teak (Tectona grandis L.f.) plus trees assembled as clones at National Teak Germplasm Bank, Chandrapur, Maharashtra, India was investigated for association mapping of candidate lignin biosynthesis gene (CAD1) and transcription factors (MYB1 and MYB2). METHODS AND RESULTS: The CAD1, MYB1 and MYB2 were amplified using specifically designed primers. The amplified sequences were then sequenced and genotyped for 112 SNPs/11 indels. We evaluated the association between SNPs and wood density in teak accessions using GLM and MLM statistical models, with Bonferroni correction applied. The teak accessions recorded an average wood density of 416.69 kg.m⁻³ (CV 4.97%) and comprised of three loosely structured admixed sub-populations (K = 3), containing 72.05% genetic variation within sub-populations with low intragenic LD (0–21% SNP pairs) at P < 0.05 and high LD decay (33–934 bp) at R² = 0.1. GLM and MLM models discounting systematic biases (Q and K matrices) to avoid false discovery revealed five loci at rare variants (MAF 0.003) and three loci at common variants (MAF 0.05) to be significantly (P < 0.05) associated with the wood density. However, the stringent Bonferroni correction (4.06–7.04 × 10–⁴) yielded only a single associated locus (B1485C/A) from exon of MYB1 transcription factor, contributing to about 10.35% phenotypic variation in wood density trait. CONCLUSION: Scored SNP locus (B1485C/A) can be developed as a molecular probe for selection of improved planting stock with proven wood density trait for a large-scale teak plantation.
Teak (Tectona grandis L.f.), an important source of tropical timber with immense economic value, is a highly outcrossing forest tree species. 150 unrelated accessions of teak (Tectona grandis L.f.) plus trees assembled as clones at National Teak Germplasm Bank, Chandrapur, Maharashtra, India was investigated for association mapping of candidate lignin biosynthesis gene (CAD1) and transcription factors (MYB1 and MYB2). The CAD1, MYB1 and MYB2 were amplified using specifically designed primers. The amplified sequences were then sequenced and genotyped for 112 SNPs/11 indels. We evaluated the association between SNPs and wood density in teak accessions using GLM and MLM statistical models, with Bonferroni correction applied. The teak accessions recorded an average wood density of 416.69 kg.m (CV 4.97%) and comprised of three loosely structured admixed sub-populations (K = 3), containing 72.05% genetic variation within sub-populations with low intragenic LD (0-21% SNP pairs) at P < 0.05 and high LD decay (33-934 bp) at R  = 0.1. GLM and MLM models discounting systematic biases (Q and K matrices) to avoid false discovery revealed five loci at rare variants (MAF 0.003) and three loci at common variants (MAF 0.05) to be significantly (P < 0.05) associated with the wood density. However, the stringent Bonferroni correction (4.06-7.04 × 10 ) yielded only a single associated locus (B1485C/A) from exon of MYB1 transcription factor, contributing to about 10.35% phenotypic variation in wood density trait. Scored SNP locus (B1485C/A) can be developed as a molecular probe for selection of improved planting stock with proven wood density trait for a large-scale teak plantation.
Teak (Tectona grandis L.f.), an important source of tropical timber with immense economic value, is a highly outcrossing forest tree species. 150 unrelated accessions of teak (Tectona grandis L.f.) plus trees assembled as clones at National Teak Germplasm Bank, Chandrapur, Maharashtra, India was investigated for association mapping of candidate lignin biosynthesis gene (CAD1) and transcription factors (MYB1 and MYB2).BACKGROUNDTeak (Tectona grandis L.f.), an important source of tropical timber with immense economic value, is a highly outcrossing forest tree species. 150 unrelated accessions of teak (Tectona grandis L.f.) plus trees assembled as clones at National Teak Germplasm Bank, Chandrapur, Maharashtra, India was investigated for association mapping of candidate lignin biosynthesis gene (CAD1) and transcription factors (MYB1 and MYB2).The CAD1, MYB1 and MYB2 were amplified using specifically designed primers. The amplified sequences were then sequenced and genotyped for 112 SNPs/11 indels. We evaluated the association between SNPs and wood density in teak accessions using GLM and MLM statistical models, with Bonferroni correction applied. The teak accessions recorded an average wood density of 416.69 kg.m-3 (CV 4.97%) and comprised of three loosely structured admixed sub-populations (K = 3), containing 72.05% genetic variation within sub-populations with low intragenic LD (0-21% SNP pairs) at P < 0.05 and high LD decay (33-934 bp) at R2 = 0.1. GLM and MLM models discounting systematic biases (Q and K matrices) to avoid false discovery revealed five loci at rare variants (MAF 0.003) and three loci at common variants (MAF 0.05) to be significantly (P < 0.05) associated with the wood density. However, the stringent Bonferroni correction (4.06-7.04 × 10-4) yielded only a single associated locus (B1485C/A) from exon of MYB1 transcription factor, contributing to about 10.35% phenotypic variation in wood density trait.METHODS AND RESULTSThe CAD1, MYB1 and MYB2 were amplified using specifically designed primers. The amplified sequences were then sequenced and genotyped for 112 SNPs/11 indels. We evaluated the association between SNPs and wood density in teak accessions using GLM and MLM statistical models, with Bonferroni correction applied. The teak accessions recorded an average wood density of 416.69 kg.m-3 (CV 4.97%) and comprised of three loosely structured admixed sub-populations (K = 3), containing 72.05% genetic variation within sub-populations with low intragenic LD (0-21% SNP pairs) at P < 0.05 and high LD decay (33-934 bp) at R2 = 0.1. GLM and MLM models discounting systematic biases (Q and K matrices) to avoid false discovery revealed five loci at rare variants (MAF 0.003) and three loci at common variants (MAF 0.05) to be significantly (P < 0.05) associated with the wood density. However, the stringent Bonferroni correction (4.06-7.04 × 10-4) yielded only a single associated locus (B1485C/A) from exon of MYB1 transcription factor, contributing to about 10.35% phenotypic variation in wood density trait.Scored SNP locus (B1485C/A) can be developed as a molecular probe for selection of improved planting stock with proven wood density trait for a large-scale teak plantation.CONCLUSIONScored SNP locus (B1485C/A) can be developed as a molecular probe for selection of improved planting stock with proven wood density trait for a large-scale teak plantation.
Background Teak ( Tectona grandis L.f.), an important source of tropical timber with immense economic value, is a highly outcrossing forest tree species. 150 unrelated accessions of teak ( Tectona grandis L.f.) plus trees assembled as clones at National Teak Germplasm Bank, Chandrapur, Maharashtra, India was investigated for association mapping of candidate lignin biosynthesis gene ( CAD1 ) and transcription factors ( MYB1 and MYB2 ). Methods and Results The CAD1 , MYB1 and MYB2 were amplified using specifically designed primers. The amplified sequences were then sequenced and genotyped for 112 SNPs/11 indels. We evaluated the association between SNPs and wood density in teak accessions using GLM and MLM statistical models, with Bonferroni correction applied. The teak accessions recorded an average wood density of 416.69 kg.m −3 (CV 4.97%) and comprised of three loosely structured admixed sub-populations (K = 3), containing 72.05% genetic variation within sub-populations with low intragenic LD (0–21% SNP pairs) at P  < 0.05 and high LD decay (33–934 bp) at R 2  = 0.1. GLM and MLM models discounting systematic biases (Q and K matrices) to avoid false discovery revealed five loci at rare variants (MAF 0.003) and three loci at common variants (MAF 0.05) to be significantly ( P  < 0.05) associated with the wood density. However, the stringent Bonferroni correction (4.06–7.04 × 10 –4 ) yielded only a single associated locus (B1485C/A) from exon of MYB1 transcription factor, contributing to about 10.35% phenotypic variation in wood density trait. Conclusion Scored SNP locus (B1485C/A) can be developed as a molecular probe for selection of improved planting stock with proven wood density trait for a large-scale teak plantation.
ArticleNumber 169
Author Bano, Nuzhat
Ansari, Mohammad Israil
Ansari, Shamim Akhtar
Mohammad, Naseer
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  surname: Mohammad
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  givenname: Mohammad Israil
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  fullname: Ansari, Shamim Akhtar
  email: shamimansari_1@yahoo.co.uk
  organization: ICFRE-Institute of Forest Productivity
BackLink https://www.ncbi.nlm.nih.gov/pubmed/38252339$$D View this record in MEDLINE/PubMed
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Cites_doi 10.1146/annurev.arplant.54.031902.134938
10.1007/s11295-011-0426-y
10.1016/j.tplants.2010.06.005
10.15287/afr.2018.1018
10.1093/genetics/164.4.1567
10.1093/mp/ssq045
10.1186/gb-2007-8-7-r140
10.1007/s11676-018-0751-1
10.1139/cjfr-2014-0279
10.1016/0092-8674(95)90288-0
10.1007/s00425-003-1185-2
10.1016/0040-5809(88)90004-4
10.1007/s11295-006-0060-2
10.1038/sj.ejhg.5201583
10.1534/genetics.105.044420
10.1093/bioinformatics/bti282
10.2135/cropsci2005.09-0305
10.1093/molbev/msm272
10.3389/fpls.2017.00575
10.1093/jxb/ert398
10.1105/tpc.150730
10.1007/s11295-014-0787-0
10.1111/j.1469-8137.2012.04200.x
10.1079/PGR200430
10.1086/367812
10.1534/genetics.110.125781
10.1016/j.tplants.2004.05.006
10.1111/nph.14154
10.1016/j.cpb.2022.100267
10.1101/gr.2754005
10.1111/j.1365-294X.2005.02553.x
10.1007/s00438-014-0824-6
10.1093/molbev/msx251
10.1111/nph.12003
10.1111/ahg.12114
10.1093/bioinformatics/btm308
10.1038/90135
10.1093/gigascience/giz005
10.1177/194008290800100308
10.1023/A:1019817913604
10.1046/j.1365-313X.2003.01916.x
10.1534/genetics.105.042028
10.1007/BF01245622
10.1186/1471-2229-13-39
10.1111/nph.13762
10.1111/j.1469-8137.2010.03415.x
10.1038/hdy.2015.61
10.1167/iovs.11-8785
10.7554/eLife.26437
10.1007/s11295-011-0391-5
10.1515/sg-2009-0013
10.1111/nph.12422
10.1111/j.1558-5646.2007.00100.x
10.1038/hdy.2008.21
10.1038/35047544
10.1016/j.tpb.2008.05.006
10.1146/annurev-genet-110711-155511
10.1016/B978-0-12-800271-1.00002-0
10.1111/pbi.12912
10.1146/annurev.ecolsys.37.091305.110215
10.1007/s10722-021-01283-5
10.1093/jxb/ern234
10.1111/j.1365-313X.2005.02480.x
10.1038/ng.3075
10.1093/bioinformatics/btm404
10.1534/genetics.106.061127
10.1093/bioinformatics/bth457
10.1139/G10-079
10.1534/genetics.110.120873
10.1093/genetics/155.2.945
10.1023/B:PLAN.0000019066.07933.d6
10.1046/j.1365-313X.1997.11030429.x
10.1038/ng1702
10.1155/2008/574927
10.1038/nature02697
10.1007/s11295-013-0658-0
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Issue 1
Keywords Bonferroni correction
GLM and MLM model
Association mapping
Population structure
Family (genetic) kinship
Linkage disequilibrium
Language English
License 2024. The Author(s), under exclusive licence to Springer Nature B.V.
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References J Yu (9006_CR10) 2006; 38
SA Ansari (9006_CR4) 2012; 55
DB Neale (9006_CR52) 2004; 9
SC González-Martínez (9006_CR13) 2008; 101
D Zhao (9006_CR76) 2019; 8
DA Roff (9006_CR84) 2007; 61
BS Gaut (9006_CR77) 2003; 15
AM Fahrenkrog (9006_CR81) 2017; 213
V Vaishnav (9006_CR7) 2019; 30
L Excoffier (9006_CR42) 2010; 10
BIG Haussmann (9006_CR1) 2004; 2
JK Pritchard (9006_CR8) 2000; 155
G Durstewitz (9006_CR57) 2010; 53
KV Krutovsky (9006_CR75) 2005; 171
V Vaishnav (9006_CR22) 2018; 61
B Zobel (9006_CR23) 1984
IY Abdurakhmonov (9006_CR54) 2008; 2008
F Breseghello (9006_CR53) 2006; 46
C Zhu (9006_CR51) 2008; 1
BR Thumma (9006_CR11) 2005; 171
V Lauvergeat (9006_CR25) 2002; 50
TA Hall (9006_CR35) 1999; 41
D Falush (9006_CR40) 2003; 164
E Eveno (9006_CR60) 2008; 25
S Thavamanikumar (9006_CR17) 2014; 10
SK Dillon (9006_CR14) 2012; 195
C Narayanan (9006_CR34) 2009; 58
RJ Petit (9006_CR64) 2006; 37
HJ Maisuria (9006_CR6) 2022; 32
9006_CR63
A Patzlaff (9006_CR28) 2003; 53
M Lamara (9006_CR18) 2016; 210
IJ Fofana (9006_CR3) 2008; 1
TF Mackay (9006_CR82) 2001; 2
E Lacombe (9006_CR24) 1997; 11
N Mohammad (9006_CR33) 2022; 69
S Weckx (9006_CR37) 2005; 15
LM Evans (9006_CR61) 2014; 46
W Chen (9006_CR65) 2017; 8
J Beaulieu (9006_CR15) 2011; 188
I Porth (9006_CR72) 2013; 200
MD Pauly (9006_CR70) 2017; 6
JL Wegrzyn (9006_CR20) 2010; 188
G Evanno (9006_CR41) 2005; 14
J Thévenin (9006_CR26) 2011; 4
PK Gupta (9006_CR55) 2014; 85
M Goicoechea (9006_CR30) 2005; 43
HT Tran (9006_CR67) 2018; 16
F Marroni (9006_CR78) 2011; 7
SC González-Martínez (9006_CR12) 2007; 175
C Dubos (9006_CR86) 2010; 15
K Liu (9006_CR39) 2005; 21
PJ Bradbury (9006_CR43) 2007; 23
C Bomal (9006_CR31) 2008; 59
C Halpin (9006_CR50) 2007; 3
WG Hill (9006_CR46) 1988; 33
J Putterill (9006_CR85) 1995; 80
SJ Franks (9006_CR2) 2012; 46
V Vaishnav (9006_CR5) 2015; 45
Ø Hammer (9006_CR38) 2010
J Tian (9006_CR80) 2014; 289
LG Fritsche (9006_CR58) 2012; 53
DR Denver (9006_CR69) 2004; 430
A Patzlaff (9006_CR27) 2003; 36
JC Barrett (9006_CR45) 2005; 21
JM Thornsberry (9006_CR9) 2001; 28
C Lepoittevin (9006_CR16) 2012; 8
D Farré (9006_CR59) 2007; 8
XF Ma (9006_CR19) 2010; 186
WG Hill (9006_CR44) 1968; 38
F Emanuelli (9006_CR62) 2013; 13
DL Remington (9006_CR83) 2003; 164
JD Terwilliger (9006_CR73) 2006; 14
J Gomez-Maldonado (9006_CR29) 2004; 218
MA Larkin (9006_CR36) 2007; 23
W Boerjan (9006_CR49) 2003; 54
9006_CR47
FP Guerra (9006_CR79) 2013; 197
JM VanLiere (9006_CR74) 2008; 74
H Abdi (9006_CR48) 2007; 3
HT Tran (9006_CR66) 2018; 14
H Lalagüe (9006_CR21) 2014; 10
C Bomal (9006_CR32) 2014; 65
Z Li (9006_CR56) 2015; 115
M Cao (9006_CR68) 2015; 79
DM Lyons (9006_CR71) 2017; 34
References_xml – volume: 54
  start-page: 519
  issue: 1
  year: 2003
  ident: 9006_CR49
  publication-title: Annu Rev Plant Biol
  doi: 10.1146/annurev.arplant.54.031902.134938
– volume: 8
  start-page: 113
  issue: 1
  year: 2012
  ident: 9006_CR16
  publication-title: Tree Genet Genomes
  doi: 10.1007/s11295-011-0426-y
– volume: 15
  start-page: 573
  issue: 10
  year: 2010
  ident: 9006_CR86
  publication-title: Trends Plant Sci
  doi: 10.1016/j.tplants.2010.06.005
– volume: 61
  start-page: 49
  issue: 1
  year: 2018
  ident: 9006_CR22
  publication-title: Ann For Res
  doi: 10.15287/afr.2018.1018
– volume: 164
  start-page: 1567
  issue: 4
  year: 2003
  ident: 9006_CR40
  publication-title: Genetics
  doi: 10.1093/genetics/164.4.1567
– volume: 3
  start-page: 103
  year: 2007
  ident: 9006_CR48
  publication-title: Encycl Meas Stat
– volume: 4
  start-page: 70
  issue: 1
  year: 2011
  ident: 9006_CR26
  publication-title: Mol Plant
  doi: 10.1093/mp/ssq045
– volume: 8
  start-page: 1
  issue: 7
  year: 2007
  ident: 9006_CR59
  publication-title: Genome Biol
  doi: 10.1186/gb-2007-8-7-r140
– volume: 30
  start-page: 2247
  issue: 6
  year: 2019
  ident: 9006_CR7
  publication-title: J For Res
  doi: 10.1007/s11676-018-0751-1
– volume: 45
  start-page: 297
  issue: 3
  year: 2015
  ident: 9006_CR5
  publication-title: Can J For Res
  doi: 10.1139/cjfr-2014-0279
– volume: 80
  start-page: 847
  issue: 6
  year: 1995
  ident: 9006_CR85
  publication-title: Cell
  doi: 10.1016/0092-8674(95)90288-0
– volume: 218
  start-page: 1036
  issue: 6
  year: 2004
  ident: 9006_CR29
  publication-title: Planta
  doi: 10.1007/s00425-003-1185-2
– volume: 33
  start-page: 54
  issue: 1
  year: 1988
  ident: 9006_CR46
  publication-title: Theor Popul Biol
  doi: 10.1016/0040-5809(88)90004-4
– volume: 3
  start-page: 101
  issue: 2
  year: 2007
  ident: 9006_CR50
  publication-title: Tree Genet Genomes
  doi: 10.1007/s11295-006-0060-2
– volume: 14
  start-page: 426
  issue: 4
  year: 2006
  ident: 9006_CR73
  publication-title: Eur J Hum Genet
  doi: 10.1038/sj.ejhg.5201583
– volume: 171
  start-page: 2029
  issue: 4
  year: 2005
  ident: 9006_CR75
  publication-title: Genetics
  doi: 10.1534/genetics.105.044420
– volume: 21
  start-page: 2128
  issue: 9
  year: 2005
  ident: 9006_CR39
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/bti282
– volume: 46
  start-page: 1323
  issue: 3
  year: 2006
  ident: 9006_CR53
  publication-title: Crop Sci
  doi: 10.2135/cropsci2005.09-0305
– volume: 25
  start-page: 417
  issue: 2
  year: 2008
  ident: 9006_CR60
  publication-title: Mol Biol Evol
  doi: 10.1093/molbev/msm272
– volume: 8
  start-page: 575
  year: 2017
  ident: 9006_CR65
  publication-title: Front Plant Sci
  doi: 10.3389/fpls.2017.00575
– volume: 65
  start-page: 495
  issue: 2
  year: 2014
  ident: 9006_CR32
  publication-title: J Exp Bot
  doi: 10.1093/jxb/ert398
– volume: 15
  start-page: 1502
  issue: 7
  year: 2003
  ident: 9006_CR77
  publication-title: Plant Cell
  doi: 10.1105/tpc.150730
– volume: 10
  start-page: 1661
  issue: 6
  year: 2014
  ident: 9006_CR17
  publication-title: Tree Genet Genomes
  doi: 10.1007/s11295-014-0787-0
– volume: 195
  start-page: 596
  issue: 3
  year: 2012
  ident: 9006_CR14
  publication-title: New Phytol
  doi: 10.1111/j.1469-8137.2012.04200.x
– volume: 10
  start-page: 564
  issue: 3
  year: 2010
  ident: 9006_CR42
  publication-title: Mol EcolResour
– volume: 2
  start-page: 3
  year: 2004
  ident: 9006_CR1
  publication-title: Plant Genet Resour
  doi: 10.1079/PGR200430
– volume: 164
  start-page: S7
  issue: S3
  year: 2003
  ident: 9006_CR83
  publication-title: Int J Plant Sci
  doi: 10.1086/367812
– volume: 188
  start-page: 197
  issue: 1
  year: 2011
  ident: 9006_CR15
  publication-title: Genetics
  doi: 10.1534/genetics.110.125781
– volume: 9
  start-page: 325
  issue: 7
  year: 2004
  ident: 9006_CR52
  publication-title: Trends Plant Sci
  doi: 10.1016/j.tplants.2004.05.006
– volume: 213
  start-page: 799
  issue: 2
  year: 2017
  ident: 9006_CR81
  publication-title: New Phytol
  doi: 10.1111/nph.14154
– volume: 1
  start-page: 5
  issue: 1
  year: 2008
  ident: 9006_CR51
  publication-title: The Plant Genome
– volume: 55
  start-page: 11
  issue: 1
  year: 2012
  ident: 9006_CR4
  publication-title: Ann For Res
– volume: 32
  year: 2022
  ident: 9006_CR6
  publication-title: Curr Plant Biol
  doi: 10.1016/j.cpb.2022.100267
– volume: 15
  start-page: 436
  issue: 3
  year: 2005
  ident: 9006_CR37
  publication-title: Genome Res
  doi: 10.1101/gr.2754005
– volume: 14
  start-page: 2611
  issue: 8
  year: 2005
  ident: 9006_CR41
  publication-title: Mol Ecol
  doi: 10.1111/j.1365-294X.2005.02553.x
– volume: 289
  start-page: 439
  issue: 3
  year: 2014
  ident: 9006_CR80
  publication-title: Mol Genet Genomes
  doi: 10.1007/s00438-014-0824-6
– volume: 34
  start-page: 3205
  issue: 12
  year: 2017
  ident: 9006_CR71
  publication-title: Mol Biol Evol
  doi: 10.1093/molbev/msx251
– volume: 197
  start-page: 162
  issue: 1
  year: 2013
  ident: 9006_CR79
  publication-title: New Phytol
  doi: 10.1111/nph.12003
– volume: 79
  start-page: 275
  issue: 4
  year: 2015
  ident: 9006_CR68
  publication-title: Ann Hum Genet
  doi: 10.1111/ahg.12114
– volume: 23
  start-page: 2633
  issue: 19
  year: 2007
  ident: 9006_CR43
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btm308
– volume: 28
  start-page: 286
  issue: 3
  year: 2001
  ident: 9006_CR9
  publication-title: Nat Genet
  doi: 10.1038/90135
– volume: 8
  start-page: giz005
  issue: 3
  year: 2019
  ident: 9006_CR76
  publication-title: Gigascience
  doi: 10.1093/gigascience/giz005
– volume: 1
  start-page: 279
  issue: 3
  year: 2008
  ident: 9006_CR3
  publication-title: Trop Conserv Sci
  doi: 10.1177/194008290800100308
– volume: 50
  start-page: 497
  issue: 3
  year: 2002
  ident: 9006_CR25
  publication-title: Plant Mol Biol
  doi: 10.1023/A:1019817913604
– volume: 36
  start-page: 743
  issue: 6
  year: 2003
  ident: 9006_CR27
  publication-title: Plant J
  doi: 10.1046/j.1365-313X.2003.01916.x
– volume: 41
  start-page: 95
  year: 1999
  ident: 9006_CR35
  publication-title: Nucleic Acids Symp Ser
– volume: 171
  start-page: 1257
  issue: 3
  year: 2005
  ident: 9006_CR11
  publication-title: Genetics
  doi: 10.1534/genetics.105.042028
– volume: 38
  start-page: 226
  issue: 6
  year: 1968
  ident: 9006_CR44
  publication-title: Theor Appl Genet
  doi: 10.1007/BF01245622
– volume: 13
  start-page: 1
  issue: 1
  year: 2013
  ident: 9006_CR62
  publication-title: BMC Plant Biol
  doi: 10.1186/1471-2229-13-39
– volume: 210
  start-page: 240
  issue: 1
  year: 2016
  ident: 9006_CR18
  publication-title: New Phytol
  doi: 10.1111/nph.13762
– volume: 188
  start-page: 515
  issue: 2
  year: 2010
  ident: 9006_CR20
  publication-title: New Phytol
  doi: 10.1111/j.1469-8137.2010.03415.x
– volume: 115
  start-page: 556
  issue: 6
  year: 2015
  ident: 9006_CR56
  publication-title: Heredity
  doi: 10.1038/hdy.2015.61
– volume: 53
  start-page: 2112
  issue: 4
  year: 2012
  ident: 9006_CR58
  publication-title: Invest Ophthalmol Visual Sci
  doi: 10.1167/iovs.11-8785
– volume: 6
  year: 2017
  ident: 9006_CR70
  publication-title: Elife
  doi: 10.7554/eLife.26437
– volume: 7
  start-page: 1011
  issue: 5
  year: 2011
  ident: 9006_CR78
  publication-title: Tree Genet Genomes
  doi: 10.1007/s11295-011-0391-5
– volume: 58
  start-page: 97
  issue: 1–6
  year: 2009
  ident: 9006_CR34
  publication-title: Silvae Genet
  doi: 10.1515/sg-2009-0013
– volume: 200
  start-page: 710
  issue: 3
  year: 2013
  ident: 9006_CR72
  publication-title: New Phytol
  doi: 10.1111/nph.12422
– volume: 61
  start-page: 1017
  issue: 5
  year: 2007
  ident: 9006_CR84
  publication-title: Evolution
  doi: 10.1111/j.1558-5646.2007.00100.x
– volume: 101
  start-page: 19
  issue: 1
  year: 2008
  ident: 9006_CR13
  publication-title: Heredity
  doi: 10.1038/hdy.2008.21
– volume: 2
  start-page: 11
  issue: 1
  year: 2001
  ident: 9006_CR82
  publication-title: Nat Rev Genet
  doi: 10.1038/35047544
– volume: 74
  start-page: 130
  issue: 1
  year: 2008
  ident: 9006_CR74
  publication-title: Theor Popul Biol
  doi: 10.1016/j.tpb.2008.05.006
– ident: 9006_CR63
– volume: 46
  start-page: 185
  year: 2012
  ident: 9006_CR2
  publication-title: Annu Rev Genet
  doi: 10.1146/annurev-genet-110711-155511
– volume: 85
  start-page: 109
  year: 2014
  ident: 9006_CR55
  publication-title: Adv Genet
  doi: 10.1016/B978-0-12-800271-1.00002-0
– volume: 16
  start-page: 1756
  issue: 10
  year: 2018
  ident: 9006_CR67
  publication-title: Plant Biotech J
  doi: 10.1111/pbi.12912
– volume: 37
  start-page: 187
  year: 2006
  ident: 9006_CR64
  publication-title: Annu Rev EcolEvol and Syst
  doi: 10.1146/annurev.ecolsys.37.091305.110215
– volume: 69
  start-page: 1
  issue: 1
  year: 2022
  ident: 9006_CR33
  publication-title: Genet Resour Crop Evol
  doi: 10.1007/s10722-021-01283-5
– volume: 59
  start-page: 3925
  issue: 14
  year: 2008
  ident: 9006_CR31
  publication-title: J Exp Bot
  doi: 10.1093/jxb/ern234
– volume: 14
  start-page: 1
  issue: 5
  year: 2018
  ident: 9006_CR66
  publication-title: Tree Genet Genomes
– volume: 43
  start-page: 553
  issue: 4
  year: 2005
  ident: 9006_CR30
  publication-title: Plant J
  doi: 10.1111/j.1365-313X.2005.02480.x
– volume: 46
  start-page: 1089
  issue: 10
  year: 2014
  ident: 9006_CR61
  publication-title: Nat Genet
  doi: 10.1038/ng.3075
– volume: 23
  start-page: 2947
  issue: 21
  year: 2007
  ident: 9006_CR36
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btm404
– volume: 175
  start-page: 399
  issue: 1
  year: 2007
  ident: 9006_CR12
  publication-title: Genetics
  doi: 10.1534/genetics.106.061127
– volume: 21
  start-page: 263
  issue: 2
  year: 2005
  ident: 9006_CR45
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/bth457
– volume: 53
  start-page: 948
  year: 2010
  ident: 9006_CR57
  publication-title: Genome
  doi: 10.1139/G10-079
– volume-title: Morphometrics for Nonmorphometricians
  year: 2010
  ident: 9006_CR38
– volume: 186
  start-page: 1033
  issue: 3
  year: 2010
  ident: 9006_CR19
  publication-title: Genetics
  doi: 10.1534/genetics.110.120873
– volume: 155
  start-page: 945
  issue: 2
  year: 2000
  ident: 9006_CR8
  publication-title: Genetics
  doi: 10.1093/genetics/155.2.945
– volume-title: Applied Forest Tree Improvement
  year: 1984
  ident: 9006_CR23
– volume: 53
  start-page: 597
  issue: 4
  year: 2003
  ident: 9006_CR28
  publication-title: Plant Mol Biol
  doi: 10.1023/B:PLAN.0000019066.07933.d6
– volume: 11
  start-page: 429
  issue: 3
  year: 1997
  ident: 9006_CR24
  publication-title: Plant J
  doi: 10.1046/j.1365-313X.1997.11030429.x
– volume: 38
  start-page: 203
  issue: 2
  year: 2006
  ident: 9006_CR10
  publication-title: Nat Genet
  doi: 10.1038/ng1702
– ident: 9006_CR47
– volume: 2008
  start-page: 18
  year: 2008
  ident: 9006_CR54
  publication-title: Int J Plant Genomics
  doi: 10.1155/2008/574927
– volume: 430
  start-page: 679
  issue: 7000
  year: 2004
  ident: 9006_CR69
  publication-title: Nature
  doi: 10.1038/nature02697
– volume: 10
  start-page: 15
  issue: 1
  year: 2014
  ident: 9006_CR21
  publication-title: Tree Genet Genomes
  doi: 10.1007/s11295-013-0658-0
SSID ssj0004175
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Snippet Background Teak ( Tectona grandis L.f.), an important source of tropical timber with immense economic value, is a highly outcrossing forest tree species. 150...
Teak (Tectona grandis L.f.), an important source of tropical timber with immense economic value, is a highly outcrossing forest tree species. 150 unrelated...
BackgroundTeak (Tectona grandis L.f.), an important source of tropical timber with immense economic value, is a highly outcrossing forest tree species. 150...
BACKGROUND: Teak (Tectona grandis L.f.), an important source of tropical timber with immense economic value, is a highly outcrossing forest tree species. 150...
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crossref
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StartPage 169
SubjectTerms Animal Anatomy
Animal Biochemistry
Biomedical and Life Sciences
Biosynthesis
Decay
economic valuation
exons
forest trees
Gene mapping
Genetic diversity
genetic variation
Genotype
Genotyping
Germplasm
Hardwoods
Histology
India
Lamiaceae
Life Sciences
Lignin
Lignin - genetics
loci
Mathematical models
Morphology
Original Article
outcrossing
phenotypic variation
Phenotypic variations
Polymorphism, Single Nucleotide - genetics
Population genetics
Single-nucleotide polymorphism
Statistical analysis
Tectona grandis
Transcription factors
Transcription Factors - genetics
tropical wood
Wood - genetics
wood density
Title Genotyping SNPs in lignin biosynthesis gene (CAD1) and transcription factors (MYB1 and MYB2) exhibits association with wood density in teak (Tectona grandis L.f.)
URI https://link.springer.com/article/10.1007/s11033-023-09006-y
https://www.ncbi.nlm.nih.gov/pubmed/38252339
https://www.proquest.com/docview/2917419058
https://www.proquest.com/docview/2917551982
https://www.proquest.com/docview/3153599338
Volume 51
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