Publications

Found 7 results
Filters: Author is C. He  [Clear All Filters]
2012
Z. P. Zheng, Liu, X. H., Huang, Y. B., Wu, X., He, C., and Li, Z., 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.
2011
C. He, Wang, C., Chang, Z. H., Guo, B. L., Li, R., Yue, X. P., Lan, X. Y., Chen, H., and Lei, C. Z., 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
X. H. Liu, He, S. L., Zheng, Z. P., Tan, Z. B., Li, Z., and He, C., 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
2010
X. - H. Liu, Zheng, Z. - P., Tan, Z. - B., Li, Z., and He, C., 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. http://dx.doi.org/10.1007/s001220050858   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.   Xiang DQ, Cao HH, Cao YG, Yang JP, et al. (2001). Construction of a genetic map and location of quantitative trait loci for yield component traits in maize by SSR markers. Yi Chuan Xue Bao 28: 778-784. PMid:11554353   Xiao YN, Li XH, George ML and Li MS, et al. (2005). Quantitative trait locus analysis of drought tolerance and yield in maize in China. Mol. Biol. Rep.155-165.   Zhao F, Meng XB, Li WH and Xu XD, et al. (2008). Inheritance relation of maize resistant genes among foundation parent huangzaosi and its derivative lines and hybrids. J. Maize Sci. 16: 15-18
B. L. Guo, Jiao, Y., He, C., Wei, L. X., Chang, Z. H., Yue, X. P., Lan, X. Y., Chen, H., and Lei, C. Z., 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.
Brandl N, Zemann A, Kaupe I, Marlovits S, et al. (2010). Signal transduction and metabolism in chondrocytes is modulated by lactoferrin. Osteoarthritis Cartilage 18: 117-125. http://dx.doi.org/10.1016/j.joca.2009.08.012 PMid:19747587   Bullen JJ (1972). Iron-binding proteins in milk and resistance to Escherichia coli infection in infants. Proc. R. Soc. Med. 65: 1086. PMid:4568537 PMCid:1644425   Cohen MS, Britigan BE, French M and Bean K (1987). Preliminary observations on lactoferrin secretion in human vaginal mucus: variation during the menstrual cycle, evidence of hormonal regulation, and implications for infection with Neisseria gonorrhoeae. Am. J. Obstet. Gynecol. 157: 1122-1125. PMid:3120589   Cornish J (2004). Lactoferrin promotes bone growth. Biometals 17: 331-335. http://dx.doi.org/10.1023/B:BIOM.0000027713.18694.91 PMid:15222486   Cornish J, Grey AB, Naot D and Palmano KP (2005). Lactoferrin and bone: an overview of recent progress. Aust. J. Dairy Technol. 60: 53-57.   Gutteridge JM, Paterson SK, Segal AW and Halliwell B (1981). Inhibition of lipid peroxidation by the iron-binding protein lactoferrin. Biochem. J. 199: 259-261. PMid:7337708 PMCid:1163360   Jenssen H and Hancock RE (2009). Antimicrobial properties of lactoferrin. Biochimie 91: 19-29. http://dx.doi.org/10.1016/j.biochi.2008.05.015 PMid:18573312   Jeremy B (1995). Lactoferrin: a multifunctional immunoregulatory protein? Immunol. Today 16: 417-419. http://dx.doi.org/10.1016/0167-5699(95)80016-6   Kim SJ, Sohn BH, Jeong S, Pak KW, et al. (1999). High-level expression of human lactoferrin in milk of transgenic mice using genomic lactoferrin sequence. J. Biochem. 126: 320-325. http://dx.doi.org/10.1093/oxfordjournals.jbchem.a022452 PMid:10423524   Kinsella JE and Whitehead DM (1989). Proteins in whey: chemical, physical, and functional properties. Adv. Food Nutr. Res. 33: 343-438. http://dx.doi.org/10.1016/S1043-4526(08)60130-8   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 Ruminant Res. 73: 8-12. http://dx.doi.org/10.1016/j.smallrumres.2006.10.009   Leon-Sicairos N, Canizalez-Roman A, de la Garza M, Reyes-Lopez M, et al. (2009). Bactericidal effect of lactoferrin and lactoferrin chimera against halophilic Vibrio parahaemolyticus. Biochimie 91: 133-140. http://dx.doi.org/10.1016/j.biochi.2008.06.009 PMid:18625283   Li GH, Zhang Y, Sun DX and Li N (2004). Study on the polymorphism of bovine lactoferrin gene and its relationship with mastitis. Anim. Biotechnol. 15: 67-76. http://dx.doi.org/10.1081/ABIO-120037899 PMid:15248601   Liu LH, Gladwell W and Teng CT (2002). Detection of exon polymorphisms in the human lactoferrin gene. Biochem. Cell Biol. 80: 17-22. http://dx.doi.org/10.1139/o01-207 PMid:11908638   Livney YD (2010). Milk proteins as vehicles for bioactives. Curr. Opin. Colloid Interface Sci. 15: 73-83. http://dx.doi.org/10.1016/j.cocis.2009.11.002   Masson PL, Heremans JF and Dive CH (1966). An iron-binding protein common to many external secretions. Clin. Chim. Acta 14: 735-739. http://dx.doi.org/10.1016/0009-8981(66)90004-0   Mohamed JA, DuPont HL, Jiang ZD, Belkind-Gerson J, et al. (2007). A novel single-nucleotide polymorphism in the lactoferrin gene is associated with susceptibility to diarrhea in North American travelers to Mexico. Clin. Infect. Dis. 44: 945-952. http://dx.doi.org/10.1086/512199 PMid:17342646   Nei M and Roychoudhury AK (1974). Sampling variances of heterozygosity and genetic distance. Genetics 76: 379-390. PMid:4822472 PMCid:1213072   Nei M and Li WH (1979). Mathematical model for studying genetic variation in terms of restriction endonucleases. Proc. Natl. Acad. Sci. U. S. A. 76: 5269-5273. http://dx.doi.org/10.1073/pnas.76.10.5269 PMid:291943 PMCid:413122   Nichols BL, McKee KS, Henry JF and Putman M (1987). Human lactoferrin stimulates thymidine incorporation into DNA of rat crypt cells. Pediatr. Res. 21: 563-567. http://dx.doi.org/10.1203/00006450-198706000-00011 PMid:3496579   Park I, Schaeffer E, Sidoli A, Baralle FE, et al. (1985). Organization of the human transferrin gene: direct evidence that it originated by gene duplication. Proc. Natl. Acad. Sci. U. S. A. 82: 3149-3153. http://dx.doi.org/10.1073/pnas.82.10.3149 PMid:3858812 PMCid:397732   Teng CT, Pentecost BT, Marshall A, Solomon A, et al. (1987). Assignment of the lactotransferrin gene to human chromosome 3 and to mouse chromosome 9. Somat. Cell Mol. Genet. 13: 689-693. http://dx.doi.org/10.1007/BF01534490 PMid:3478818   Teng CT, Pentecost BT, Chen YH, Newbold RR, et al. (1989). Lactotransferrin gene expression in the mouse uterus and mammary gland. Endocrinology 124: 992-999. http://dx.doi.org/10.1210/endo-124-2-992 PMid:2463910   Williams J (1982). The evolution of transferrin. Trends Biochem. Sci. 7: 394-397. http://dx.doi.org/10.1016/0968-0004(82)90183-9   Yamauchi K, Tomita M, Giehl TJ and Ellison RT III (1993). Antibacterial activity of lactoferrin and a pepsin-derived lactoferrin peptide fragment. Infect. Immun. 61: 719-728. PMid:8423097 PMCid:302785   Yamauchi K, Wakabayashi H, Shin K and Takase M (2006). Bovine lactoferrin: benefits and mechanism of action against infections. Biochem. Cell Biol. 84: 291-296. http://dx.doi.org/10.1139/o06-054 PMid:16936799