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207 related items for PubMed ID: 20364377
1. Identification of differentially expressed genes at two key endosperm development stages using two maize inbreds with large and small grain and integration with detected QTL for grain weight. Liu YY, Li JZ, Li YL, Wei MG, Cui QX, Wang QL. Theor Appl Genet; 2010 Aug; 121(3):433-47. PubMed ID: 20364377 [Abstract] [Full Text] [Related]
2. A MYB-related transcription factor ZmMYBR29 is involved in grain filling. Wu JW, Wang XY, Yan RY, Zheng GM, Zhang L, Wang Y, Zhao YJ, Wang BH, Pu ML, Zhang XS, Zhao XY. BMC Plant Biol; 2024 May 27; 24(1):458. PubMed ID: 38797860 [Abstract] [Full Text] [Related]
3. Identification of differentially expressed genes in leaf and root between wheat hybrid and its parental inbreds using PCR-based cDNA subtraction. Yao Y, Ni Z, Zhang Y, Chen Y, Ding Y, Han Z, Liu Z, Sun Q. Plant Mol Biol; 2005 Jun 27; 58(3):367-84. PubMed ID: 16021401 [Abstract] [Full Text] [Related]
4. Kernel size-related genes revealed by an integrated eQTL analysis during early maize kernel development. Pang J, Fu J, Zong N, Wang J, Song D, Zhang X, He C, Fang T, Zhang H, Fan Y, Wang G, Zhao J. Plant J; 2019 Apr 27; 98(1):19-32. PubMed ID: 30548709 [Abstract] [Full Text] [Related]
5. Verification of QTL for grain starch content and its genetic correlation with oil content using two connected RIL populations in high-oil maize. Yang G, Dong Y, Li Y, Wang Q, Shi Q, Zhou Q. PLoS One; 2013 Apr 27; 8(1):e53770. PubMed ID: 23320103 [Abstract] [Full Text] [Related]
6. Identification of genes involved in bamboo fiber development. Rai V, Ghosh JS, Pal A, Dey N. Gene; 2011 Jun 01; 478(1-2):19-27. PubMed ID: 21272623 [Abstract] [Full Text] [Related]
7. Identification of quantitative trait loci that affect endoreduplication in maize endosperm. Coelho CM, Wu S, Li Y, Hunter B, Dante RA, Cui Y, Wu R, Larkins BA. Theor Appl Genet; 2007 Nov 01; 115(8):1147-62. PubMed ID: 17912496 [Abstract] [Full Text] [Related]
8. Identification of differentially-expressed genes potentially implicated in drought response in pitaya (Hylocereus undatus) by suppression subtractive hybridization and cDNA microarray analysis. Fan QJ, Yan FX, Qiao G, Zhang BX, Wen XP. Gene; 2014 Jan 01; 533(1):322-31. PubMed ID: 24076355 [Abstract] [Full Text] [Related]
9. Identification of transcriptome induced in roots of maize seedlings at the late stage of waterlogging. Zou X, Jiang Y, Liu L, Zhang Z, Zheng Y. BMC Plant Biol; 2010 Aug 25; 10():189. PubMed ID: 20738849 [Abstract] [Full Text] [Related]
10. Genetic dissection of the maize kernel development process via conditional QTL mapping for three developing kernel-related traits in an immortalized F2 population. Zhang Z, Wu X, Shi C, Wang R, Li S, Wang Z, Liu Z, Xue Y, Tang G, Tang J. Mol Genet Genomics; 2016 Feb 25; 291(1):437-54. PubMed ID: 26420507 [Abstract] [Full Text] [Related]
11. Identification and characterization of microRNAs in the developing maize endosperm. Gu Y, Liu Y, Zhang J, Liu H, Hu Y, Du H, Li Y, Chen J, Wei B, Huang Y. Genomics; 2013 Feb 25; 102(5-6):472-8. PubMed ID: 24021532 [Abstract] [Full Text] [Related]
12. Isolation and analysis of water stress induced genes in maize seedlings by subtractive PCR and cDNA macroarray. Zheng J, Zhao J, Tao Y, Wang J, Liu Y, Fu J, Jin Y, Gao P, Zhang J, Bai Y, Wang G. Plant Mol Biol; 2004 Aug 25; 55(6):807-23. PubMed ID: 15604718 [Abstract] [Full Text] [Related]
13. Mapping quantitative trait loci for yield-related traits and predicting candidate genes for grain weight in maize. Zhao Y, Su C. Sci Rep; 2019 Nov 06; 9(1):16112. PubMed ID: 31695075 [Abstract] [Full Text] [Related]
14. Comparison of RNA expression profiles based on maize expressed sequence tag frequency analysis and micro-array hybridization. Fernandes J, Brendel V, Gai X, Lal S, Chandler VL, Elumalai RP, Galbraith DW, Pierson EA, Walbot V. Plant Physiol; 2002 Mar 06; 128(3):896-910. PubMed ID: 11891246 [Abstract] [Full Text] [Related]
15. Endosperm-preferred expression of maize genes as revealed by transcriptome-wide analysis of expressed sequence tags. Verza NC, E Silva TR, Neto GC, Nogueira FT, Fisch PH, de Rosa VE, Rebello MM, Vettore AL, da Silva FR, Arruda P. Plant Mol Biol; 2005 Sep 06; 59(2):363-74. PubMed ID: 16247562 [Abstract] [Full Text] [Related]
16. Combined meta-genomics analyses unravel candidate genes for the grain dietary fiber content in bread wheat (Triticum aestivum L.). Quraishi UM, Murat F, Abrouk M, Pont C, Confolent C, Oury FX, Ward J, Boros D, Gebruers K, Delcour JA, Courtin CM, Bedo Z, Saulnier L, Guillon F, Balzergue S, Shewry PR, Feuillet C, Charmet G, Salse J. Funct Integr Genomics; 2011 Mar 06; 11(1):71-83. PubMed ID: 20697765 [Abstract] [Full Text] [Related]
17. Fine mapping and candidate gene prediction of a pleiotropic quantitative trait locus for yield-related trait in Zea mays. Liu R, Jia H, Cao X, Huang J, Li F, Tao Y, Qiu F, Zheng Y, Zhang Z. PLoS One; 2012 Mar 06; 7(11):e49836. PubMed ID: 23185451 [Abstract] [Full Text] [Related]
18. Fine-mapping of qGW4.05, a major QTL for kernel weight and size in maize. Chen L, Li YX, Li C, Wu X, Qin W, Li X, Jiao F, Zhang X, Zhang D, Shi Y, Song Y, Li Y, Wang T. BMC Plant Biol; 2016 Apr 12; 16():81. PubMed ID: 27068015 [Abstract] [Full Text] [Related]
19. Identification of candidate genes associated with cell wall digestibility and eQTL (expression quantitative trait loci) analysis in a Flint x Flint maize recombinant inbred line population. Shi C, Uzarowska A, Ouzunova M, Landbeck M, Wenzel G, Lübberstedt T. BMC Genomics; 2007 Jan 18; 8():22. PubMed ID: 17233901 [Abstract] [Full Text] [Related]
20. The Zea mays mutants opaque-2 and opaque-7 disclose extensive changes in endosperm metabolism as revealed by protein, amino acid, and transcriptome-wide analyses. Hartings H, Lauria M, Lazzaroni N, Pirona R, Motto M. BMC Genomics; 2011 Jan 18; 12():41. PubMed ID: 21241522 [Abstract] [Full Text] [Related] Page: [Next] [New Search]