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“5-Fluorouracil induces apoptosis of colorectal cancer cells”, vol. 15, p. -, 2016.
, “5-Fluorouracil induces apoptosis of colorectal cancer cells”, vol. 15, p. -, 2016.
, “QTLs for days to silking in a recombinant inbred line maize population subjected to high and low nitrogen regimes”, vol. 11, pp. 790-798, 2012.
, Agrama HAS, Zakaria AG, Said FB and Tuinstra M (1999). Identification of quantitative trait loci for nitrogen use efficiency in maize. Mol. Breed. 5: 187-195.
http://dx.doi.org/10.1023/A:1009669507144
Bänziger M, Betran FJ and Lafitte HR (1997). Efficiency of high-nitrogen selection environments for improving maize for low-nitrogen target environments. Crop Sci. 37: 1103-1109.
http://dx.doi.org/10.2135/cropsci1997.0011183X003700040012x
Doerge RW and Churchill GA (1996). Permutation tests for multiple loci affecting a quantitative character. Genetics 142: 285-294.
PMid:8770605 PMCid:1206957
Gong Q, Wang TY, Tan XL, Shi YS, et al. (2006). QTL analysis of traits related to flowering in elite maize inbred line Dan330 with early maturity. J. Plant Genet. Resour. 7: 437-441.
Hu YM, Wu X, Li CX, Fu ZY, et al. (2008). Genetic analysis on the related traits of florescence for hybrid seed production in maize. J. Nanjing Agric. Univ. 31: 11-16.
Khairallah MM, Bohn M, Jiang C, Deutsch JA, et al. (1998). Molecular mapping of QTL for southwestern corn borer resistance, plant height and flowering in tropical maize. Plant Breed. 117: 309-318.
http://dx.doi.org/10.1111/j.1439-0523.1998.tb01947.x
Li YL, Li XH, Dong YB, Niu SZ, et al. (2007). QTL mapping of developmental stages using F2:3 and BC2S1 populations derived from the same cross in maize. Acta Agric. Boreali-Sin. 22: 38-43.
Liu XH, Tan ZB and Tan ZB (2009). Molecular mapping of a major QTL conferring resistance to SCMV based on immortal RIL population in maize. Euphytica 167: 229-235.
http://dx.doi.org/10.1007/s10681-008-9874-3
Liu X, Zheng Z, Tan Z, Li Z, et al. (2010). QTL mapping for controlling anthesis-silking interval based on RIL population in maize. Afr. J. Biotechnol. 9: 950-955.
McIntyre CL, Mathews KL, Rattey A, Chapman SC, et al. (2010). Molecular detection of genomic regions associated with grain yield and yield-related components in an elite bread wheat cross evaluated under irrigated and rainfed conditions. Theor. Appl. Genet. 120: 527-541.
http://dx.doi.org/10.1007/s00122-009-1173-4
PMid:19865806
Ribaut JM, Hoisington DA, Deutsch JA, Jiang C, et al. (1996). Identification of quantitative trait loci under drought conditions in tropical maize. 1. Flowering parameters and the anthesis-silking interval. Theor. Appl. Genet. 92: 905-914.
http://dx.doi.org/10.1007/BF00221905
Ribaut JM, Fracheboud Y, Monneveux P, Banziger M, et al. (2007). Quantitative trait loci for yield and correlated traits under high and low soil nitrogen conditions in tropical maize. Mol. Breed. 20: 15-29.
http://dx.doi.org/10.1007/s11032-006-9041-2
Sabadin PK, Souza CL Jr, Souza AP and Garcia AAF (2008). QTL mapping for yield components in a tropical maize population using microsatellite markers. Hereditas 145: 194-203.
http://dx.doi.org/10.1111/j.0018-0661.2008.02065.x
Szalma SJ, Hostert BM, Ledeaux JR, Stuber CW, et al. (2007). QTL mapping with near-isogenic lines in maize. Theor. Appl. Genet. 114: 1211-1228.
http://dx.doi.org/10.1007/s00122-007-0512-6
PMid:17308934
Tang H, Yan JB, Huang YQ, Zheng YL, et al. (2005). QTL mapping of five agronomic traits in maize. Yi. Chuan Xue. Bao. 32: 203-209.
PMid:15759869
Voorrips RE (2002). MapChart: software for the graphical presentation of linkage maps and QTLs. J. Hered. 93: 77-78.
http://dx.doi.org/10.1093/jhered/93.1.77
PMid:12011185
Wan XY, Wan JM, Jiang L, Wang JK, et al. (2006). QTL analysis for rice grain length and fine mapping of an identified QTL with stable and major effects. Theor. Appl. Genet. 112: 1258-1270.
http://dx.doi.org/10.1007/s00122-006-0227-0
PMid:16477428
Wang S, Basten CJ and Zeng ZB (2010). Windows QTL Cartographer 2.5. Department of Statistics, North Carolina State University, Raleigh. Available at [http://statgen.ncsu.edu/qtlcart/WQTLCart.htm]. Accessed March 10, 2010.
Wu JW, Liu C, Wang TY, Li Y, et al. (2008). QTL analysis of flowering related traits in maize under different water regimes. J. Maize Sci. 16: 61-65.
Yang GB, Liu XY, Gao DJ, Tan FZ, et al. (2007). Constrict factors and countermeasures of maize planting in northern premature areas of Heilongjiang. Heilongjiang Agric. Sci. 6: 18-19.
Yang X, Guo Y, Yan J, Zhang J, et al. (2010). Major and minor QTL and epistasis contribute to fatty acid compositions and oil concentration in high-oil maize. Theor. Appl. Genet. 120: 665-678.
http://dx.doi.org/10.1007/s00122-009-1184-1
PMid:19856173
Zhang JM, Liu C, Shi YS, Song YC, et al. (2004). QTL analysis of parameters related to flowering in maize under drought stress and normal irrigation condition. J. Plant Genet. Resour. 5: 161-165.
“AGPAT6 polymorphism and its association with milk traits of dairy goats”, vol. 10, pp. 2747-2756, 2011.
, Agarwal AK, Barnes RI and Garg A (2006). Functional characterization of human 1-acylglycerol-3-phosphate acyltransferase isoform 8: cloning, tissue distribution, gene structure, and enzymatic activity. Arch. Biochem. Biophys. 449: 64-76.
http://dx.doi.org/10.1016/j.abb.2006.03.014
PMid:16620771
Agarwal AK, Sukumaran S, Bartz R, Barnes RI, et al. (2007). Functional characterization of human 1-acylglycerol- 3-phosphate-O-acyltransferase isoform 9: cloning, tissue distribution, gene structure, and enzymatic activity. J. Endocrinol. 193: 445-457.
http://dx.doi.org/10.1677/JOE-07-0027
PMid:17535882
Aguado B and Campbell RD (1998). Characterization of a human lysophosphatidic acid acyltransferase that is encoded by a gene located in the class III region of the human major histocompatibility complex. J. Biol. Chem. 273: 4096-4105.
http://dx.doi.org/10.1074/jbc.273.7.4096
PMid:9461603
Beigneux AP, Vergnes L, Qiao X, Quatela S, et al. (2006). Agpat6 - a novel lipid biosynthetic gene required for triacylglycerol production in mammary epithelium. J. Lipid Res. 47: 734-744.
http://dx.doi.org/10.1194/jlr.M500556-JLR200
PMid:16449762 PMCid:3196597
Bionaz M and Loor JJ (2008). ACSL1, AGPAT6, FABP3, LPIN1, and SLC27A6 are the most abundant isoforms in bovine mammary tissue and their expression is affected by stage of lactation. J. Nutr. 138: 1019-1024.
PMid:18492828
Chen YQ, Kuo MS, Li S, Bui HH, et al. (2008). AGPAT6 is a novel microsomal glycerol-3-phosphate acyltransferase. J. Biol. Chem. 283: 10048-10057.
http://dx.doi.org/10.1074/jbc.M708151200
PMid:18238778 PMCid:2442282
Coleman RA and Lee DP (2004). Enzymes of triacylglycerol synthesis and their regulation. Prog. Lipid Res. 43: 134-176.
http://dx.doi.org/10.1016/S0163-7827(03)00051-1
Kimchi-Sarfaty C, Oh JM, Kim IW, Sauna ZE, et al. (2007). A “silent” polymorphism in the MDR1 gene changes substrate specificity. Science 315: 525-528.
http://dx.doi.org/10.1126/science.1135308
PMid:17185560
Komar AA (2007). Silent SNPs: impact on gene function and phenotype. Pharmacogenomics. 8: 1075-1080.
http://dx.doi.org/10.2217/14622416.8.8.1075
PMid:17716239
Lan XY, Pan CY, Chen H and Zhang CL (2007). An AluI PCR-RFLP detecting a silent allele at the goat POU1F1 locus and its association with production traits. Small Rumin. Res. 73: 8-12.
http://dx.doi.org/10.1016/j.smallrumres.2006.10.009
Nagle CA, Vergnes L, Dejong H, Wang S, et al. (2008). Identification of a novel sn-glycerol-3-phosphate acyltransferase isoform, GPAT4, as the enzyme deficient in Agpat6-/- mice. J. Lipid Res. 49: 823-831.
http://dx.doi.org/10.1194/jlr.M700592-JLR200
PMid:18192653 PMCid:2819352
Nei M and Roychoudhury AK (1974). Sampling variances of heterozygosity and genetic distance. Genetics 76: 379-390.
PMid:4822472 PMCid:1213072
Sambrook J and Russell DW (2001). Molecular Cloning: A Laboratory Manual. 3rd edn. Cold Spring Harbor Laboratory Press, New York.
Sham P, Bader JS, Craig I, O’Donovan M, et al. (2002). DNA Pooling: a tool for large-scale association studies. Nat. Rev. Genet. 3: 862-871.
http://dx.doi.org/10.1038/nrg930
PMid:12415316
Sukumaran S, Barnes RI, Garg A and Agarwal AK (2009). Functional characterization of the human 1-acylglycerol- 3-phosphate-O-acyltransferase isoform 10/glycerol-3-phosphate acyltransferase isoform 3. J. Mol. Endocrinol. 42: 469-478.
http://dx.doi.org/10.1677/JME-09-0010
PMid:19318427
Takeuchi K and Reue K (2009). Biochemistry, physiology, and genetics of GPAT, AGPAT, and lipin enzymes in triglyceride synthesis. Am. J. Physiol. Endocrinol. Metab. 296: E1195-E1209.
http://dx.doi.org/10.1152/ajpendo.90958.2008
PMid:19336658 PMCid:2692402
Vergnes L, Beigneux AP, Davis R, Watkins SM, et al. (2006). Agpat6 deficiency causes subdermal lipodystrophy and resistance to obesity. J. Lipid Res. 47: 745-754.
http://dx.doi.org/10.1194/jlr.M500553-JLR200
PMid:16436371 PMCid:2901549
Ye GM, Chen C, Huang S, Han DD, et al. (2005). Cloning and characterization a novel human 1-acyl-sn-glycerol-3- phosphate acyltransferase gene AGPAT7. DNA Seq. 16: 386-390.
http://dx.doi.org/10.1080/10425170500213712
PMid:16243729
“Genetic loci mapping associated with maize kernel number per ear based on a recombinant inbred line population grown under different nitrogen regimes”, vol. 10, pp. 3267-3274, 2011.
, Agrama HAS, Zakaria AG, Said FB and Tuinstra M (1999). Identification of quantitative trait loci for nitrogen use efficiency in maize. Mol. Breed. 5: 187-195.
http://dx.doi.org/10.1023/A:1009669507144
An D, Su J, Liu Q, Zhu Y, et al. (2006). Mapping QTLs for nitrogen uptake in relation to the early growth of wheat (Triticum aestivum L.). Plant Soil 284: 73-84.
http://dx.doi.org/10.1007/s11104-006-0030-3
Doerge RW and Churchill GA (1996). Permutation tests for multiple loci affecting a quantitative character. Genetics 142: 285-294.
PMid:8770605 PMCid:1206957
Duvick DN, Smith JSC and Cooper M (2004). Long-term selection in a commercial hybrid maize breeding program. Plant Breed. Rev. 24: 109-151.
Frova C, Krajewski P, di Fonzo N, Villa M, et al. (1999). Genetic analysis of drought tolerance in maize by molecular markers I. Yield components. Theor. Appl. Genet. 99: 280-288.
http://dx.doi.org/10.1007/s001220051233
Gallais A and Hirel B (2004). An approach to the genetics of nitrogen use efficiency in maize. J. Exp. Bot. 55: 295-306.
http://dx.doi.org/10.1093/jxb/erh006
PMid:14739258
Guo J, Su G, Zhang J and Wang G (2008). Genetic analysis and QTL mapping of maize yield and associate agronomic traits under semi-arid land condition. Afr. J. Biotechnol. 7: 1829-1838.
Huang YF, Madur D, Combes V, Ky CL, et al. (2010). The genetic architecture of grain yield and related traits in Zea maize L. revealed by comparing intermated and conventional populations. Genetics 186: 395-404.
http://dx.doi.org/10.1534/genetics.110.113878
PMid:20592258 PMCid:2940303
Li M, Guo X, Zhang M, Wang X, et al. (2010). Mapping QTLs for grain yield and yield components under high and low phosphorus treatments in maize (Zea mays L.). Plant Sci. 178: 454-462.
http://dx.doi.org/10.1016/j.plantsci.2010.02.019
Lian X, Xing Y, Yan H, Xu C, et al. (2005). QTLs for low nitrogen tolerance at seedling stage identified using a recombinant inbred line population derived from an elite rice hybrid. Theor. Appl. Genet. 112: 85-96.
http://dx.doi.org/10.1007/s00122-005-0108-y
PMid:16189659
Liu XH, Tan ZB and Rong TZ (2009). Molecular mapping of a major QTL conferring resistance to SCMV based on immortal RIL population in maize. Euphytica 167: 229-235.
http://dx.doi.org/10.1007/s10681-008-9874-3
Liu XH, He SL, Zheng ZP, Huang YB, et al. (2010). QTL identification for row number per ear and grain number per row in maize. Maydica 55: 127-133.
Liu ZH, Xie HL, Tian GW, Chen SJ, et al. (2008). QTL mapping of nutrient components in maize kernels under low nitrogen conditions. Plant Breed. 127: 279-285.
http://dx.doi.org/10.1111/j.1439-0523.2007.01465.x
Lu GH, Tang JH, Yan JB, Ma XQ, et al. (2006). Quantitative trait loci mapping of maize yield and its components under different water treatments at flowering time. J. Integr. Plant Biol. 48: 1233-1243.
http://dx.doi.org/10.1111/j.1744-7909.2006.00289.x
Pilet ML, Duplan G, Archipiano H, Barret P, et al. (2001). Stability of QTL for field resistance to blackleg across two genetic backgrounds in oilseed rape. Crop Sci. 41: 197-205.
http://dx.doi.org/10.2135/cropsci2001.411197x
Prasanna BM, Beiki AH, Sekhar JC, Srinivas A, et al. (2009). Mapping QTLs for component traits influencing drought stress tolerance of maize (Zea mays L) in India. J. Plant Biochem. Biotechnol. 18: 151-160.
Ribaut JM, Jiang C, Gonzalez-de-Leon D, Edmeades GO, et al. (1997). Identification of quantitative trait loci under drought conditions in tropical maize. 2. Yield components and marker-assisted selection strategies. Theor. Appl. Genet. 94: 887-896.
http://dx.doi.org/10.1007/s001220050492
Ribaut JM, Fracheboud Y, Monneveux P, Banziger M, et al. (2007). Quantitative trait loci for yield and correlated traits under high and low soil nitrogen conditions in tropical maize. Mol. Breed. 20: 15-29.
http://dx.doi.org/10.1007/s11032-006-9041-2
Sabadin PK, Souza CL Jr, Souza AP and Garcia AAF (2008). QTL mapping for yield components in a tropical maize population using microsatellite markers. Hereditas 145: 194-203.
http://dx.doi.org/10.1111/j.0018-0661.2008.02065.x
Tang J, Yan J, Ma X, Teng W, et al. (2010). Dissection of the genetic basis of heterosis in an elite maize hybrid by QTL mapping in an immortalized F2 population. Theor. Appl. Genet. 120: 333-340.
http://dx.doi.org/10.1007/s00122-009-1213-0
PMid:19936698
Trachsel S, Messmer R, Stamp P, Ruta N, et al. (2010). QTLs for early vigor of tropical maize. Mol. Breed. 25: 91-103.
http://dx.doi.org/10.1007/s11032-009-9310-y
Tuberosa R, Salvi S, Sanguineti MC, Landi P, et al. (2002). Mapping QTLs regulating morpho-physiological traits and yield: case studies, shortcomings and perspectives in drought-stressed maize. Ann. Bot. 89: 941-963.
http://dx.doi.org/10.1093/aob/mcf134
PMid:12102519
Voorrips RE (2002). MapChart: software for the graphical presentation of linkage maps and QTLs. J. Hered. 93: 77-78.
http://dx.doi.org/10.1093/jhered/93.1.77
PMid:12011185
Wang S, Basten CJ and Zeng ZB (2010). Windows QTL Cartographer 2.5. Department of Statistics, North Carolina State University, Raleigh. Available at [http://statgen.ncsu.edu/qtlcart/WQTLCart.htm]. Accessed March 10, 2010.
Xiao YN, Li XH, George ML, Li MS, et al. (2005). Quantitative trait locus analysis of drought tolerance and yield in maize in China. Plant Mol. Biol. Rep. 23: 155-165.
http://dx.doi.org/10.1007/BF02772706
“Genetic analysis of two new quantitative trait loci for ear weight in maize inbred line Huangzao4”, vol. 9, pp. 2140-2147, 2010.
, Cross HZ (1985). A selection procedure for ear drying-rates in maize. Euphytica 34: 409-418.
http://dx.doi.org/10.1007/BF00022936
Frova C, Krajewski P, di Fonzo N, Villa M, et al. (1999). Genetic analysis of drought tolerance in maize by molecular markers I. Yield components. Theor. Appl. Genet. 99: 280-288.
http://dx.doi.org/10.1007/s001220051233
Gilliland LU, Magallanes-Lundback M, Hemming C, Supplee A, et al. (2006). Genetic basis for natural variation in seed vitamin E levels in Arabidopsis thaliana. Proc. Natl. Acad. Sci. U. S. A. 103: 18834-18841.
http://dx.doi.org/10.1073/pnas.0606221103
PMid:17077148 PMCid:1693748
Guo JF, Su GQ, Zhang JP and Wang GY (2008). Genetic analysis and QTL mapping of maize yield and associate agronomic traits under semi-arid land condition. Afr. J. Biotechnol. 7: 1829-1838.
Liu XH, Tan ZB and Rong TZ (2009). Molecular mapping of a major QTL conferring resistance to SCMV based on immortal RIL population in maize. Euphytica 167: 229-235.
http://dx.doi.org/10.1007/s10681-008-9874-3
Qi X, Niks RE, Stam P and Lindhout P (1998). Identification of QTLs for partial resistance to leaf rust (Puccinia hordei) in barley. Theor. Appl. Genet. 96: 1205-1215.
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Ribaut JM, Fracheboud Y, Monneveux P and Banziger M, et al. (2007). Quantitative trait loci for yield and correlated traits under high and low soil nitrogen conditions in tropical maize. Mol. Breed. 20: 15-29.
http://dx.doi.org/10.1007/s11032-006-9041-2
Sabadin PK, Souza J, Souza AP and Garcia AAF (2008). QTL mapping for yield components in a tropical maize population using microsatellite markers. Hereditas 145: 194-203.
http://dx.doi.org/10.1111/j.0018-0661.2008.02065.x
Voorrips RE (2002). MapChart: software for the graphical presentation of linkage maps and QTLs. J. Hered. 93: 77-78.
http://dx.doi.org/10.1093/jhered/93.1.77
PMid:12011185
Wang HW, Li HJ, Zhu ZD and Wu XF, et al. (2009). Cloning and differential expression of QM-like protein homologene from maize. Acta Agron. Sin. 35: 1439-1444.
http://dx.doi.org/10.3724/SP.J.1006.2009.01439
Wang S, Basten CJ and Zeng ZB (2010). Windows QTL Cartographer 2.5.Department of Statistics, North Carolina State University, Raleigh. Available at [http://statgen.ncsu.edu/qtlcart/WQTLCart.htm]. Accessed March 10, 2010.
Wu JY, Tang JH, Xia ZL and Chen WC (2002). Molecular tagging of a new resistance gene to maize dwarf mosaic virus using microsatellite markers. Acta Bot. Sin. 44: 177-180.
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“A novel polymorphism of the lactoferrin gene and its association with milk composition and body traits in dairy goats”, vol. 9, pp. 2199-2206, 2010.
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