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Items: 42

1.

Genome-Wide Analysis and Prediction of Resistance to Goss's Wilt in Maize.

Cooper JS, Rice BR, Shenstone EM, Lipka AE, Jamann TM.

Plant Genome. 2019 Jun;12(2). doi: 10.3835/plantgenome2018.06.0045.

2.

Stability Analysis of Kernel Quality Traits in Exotic-Derived Doubled Haploid Maize Lines.

Vanous A, Gardner C, Blanco M, Martin-Schwarze A, Wang J, Li X, Lipka AE, Flint-Garcia S, Bohn M, Edwards J, Lübberstedt T.

Plant Genome. 2019 Mar;12(1). doi: 10.3835/plantgenome2017.12.0114.

3.
4.

Knowledge, attitudes, and perceived barriers towards genetic testing across three rural Illinois communities.

Fogleman AJ, Zahnd WE, Lipka AE, Malhi RS, Ganai S, Delfino KR, Jenkins WD.

J Community Genet. 2019 Jul;10(3):417-423. doi: 10.1007/s12687-019-00407-w. Epub 2019 Jan 23.

5.

polyRAD: Genotype Calling with Uncertainty from Sequencing Data in Polyploids and Diploids.

Clark LV, Lipka AE, Sacks EJ.

G3 (Bethesda). 2019 Mar 7;9(3):663-673. doi: 10.1534/g3.118.200913.

6.

An assessment of the performance of the logistic mixed model for analyzing binary traits in maize and sorghum diversity panels.

Shenstone E, Cooper J, Rice B, Bohn M, Jamann TM, Lipka AE.

PLoS One. 2018 Nov 21;13(11):e0207752. doi: 10.1371/journal.pone.0207752. eCollection 2018.

7.

An assessment of true and false positive detection rates of stepwise epistatic model selection as a function of sample size and number of markers.

Chen AH, Ge W, Metcalf W, Jakobsson E, Mainzer LS, Lipka AE.

Heredity (Edinb). 2019 May;122(5):660-671. doi: 10.1038/s41437-018-0162-2. Epub 2018 Nov 15.

8.

Genetic Architecture of Soybean Yield and Agronomic Traits.

Diers BW, Specht J, Rainey KM, Cregan P, Song Q, Ramasubramanian V, Graef G, Nelson R, Schapaugh W, Wang D, Shannon G, McHale L, Kantartzi SK, Xavier A, Mian R, Stupar RM, Michno JM, An YC, Goettel W, Ward R, Fox C, Lipka AE, Hyten D, Cary T, Beavis WD.

G3 (Bethesda). 2018 Oct 3;8(10):3367-3375. doi: 10.1534/g3.118.200332.

9.

Association Mapping of Flowering and Height Traits in Germplasm Enhancement of Maize Doubled Haploid (GEM-DH) Lines.

Vanous A, Gardner C, Blanco M, Martin-Schwarze A, Lipka AE, Flint-Garcia S, Bohn M, Edwards J, Lübberstedt T.

Plant Genome. 2018 Jul;11(2). doi: 10.3835/plantgenome2017.09.0083.

10.

Novel Loci Underlie Natural Variation in Vitamin E Levels in Maize Grain.

Diepenbrock CH, Kandianis CB, Lipka AE, Magallanes-Lundback M, Vaillancourt B, Góngora-Castillo E, Wallace JG, Cepela J, Mesberg A, Bradbury PJ, Ilut DC, Mateos-Hernandez M, Hamilton J, Owens BF, Tiede T, Buckler ES, Rocheford T, Buell CR, Gore MA, DellaPenna D.

Plant Cell. 2017 Oct;29(10):2374-2392. doi: 10.1105/tpc.17.00475. Epub 2017 Oct 2.

11.

Selinene Volatiles Are Essential Precursors for Maize Defense Promoting Fungal Pathogen Resistance.

Ding Y, Huffaker A, Köllner TG, Weckwerth P, Robert CAM, Spencer JL, Lipka AE, Schmelz EA.

Plant Physiol. 2017 Nov;175(3):1455-1468. doi: 10.1104/pp.17.00879. Epub 2017 Sep 20.

12.

Brassinosteroid and gibberellin control of seedling traits in maize (Zea mays L.).

Hu S, Sanchez DL, Wang C, Lipka AE, Yin Y, Gardner CAC, Lübberstedt T.

Plant Sci. 2017 Oct;263:132-141. doi: 10.1016/j.plantsci.2017.07.011. Epub 2017 Jul 19.

PMID:
28818369
13.

Gibberellins Promote Brassinosteroids Action and Both Increase Heterosis for Plant Height in Maize (Zea mays L.).

Hu S, Wang C, Sanchez DL, Lipka AE, Liu P, Yin Y, Blanco M, Lübberstedt T.

Front Plant Sci. 2017 Jun 20;8:1039. doi: 10.3389/fpls.2017.01039. eCollection 2017.

14.

Time dependent genetic analysis links field and controlled environment phenotypes in the model C4 grass Setaria.

Feldman MJ, Paul RE, Banan D, Barrett JF, Sebastian J, Yee MC, Jiang H, Lipka AE, Brutnell TP, Dinneny JR, Leakey ADB, Baxter I.

PLoS Genet. 2017 Jun 23;13(6):e1006841. doi: 10.1371/journal.pgen.1006841. eCollection 2017 Jun.

15.

NLR locus-mediated trade-off between abiotic and biotic stress adaptation in Arabidopsis.

Ariga H, Katori T, Tsuchimatsu T, Hirase T, Tajima Y, Parker JE, Alcázar R, Koornneef M, Hoekenga O, Lipka AE, Gore MA, Sakakibara H, Kojima M, Kobayashi Y, Iuchi S, Kobayashi M, Shinozaki K, Sakata Y, Hayashi T, Saijo Y, Taji T.

Nat Plants. 2017 May 26;3:17072. doi: 10.1038/nplants.2017.72.

PMID:
28548656
16.

Engaging rural communities in genetic research: challenges and opportunities.

Dean C, Fogleman AJ, Zahnd WE, Lipka AE, Malhi RS, Delfino KR, Jenkins WD.

J Community Genet. 2017 Jul;8(3):209-219. doi: 10.1007/s12687-017-0304-x. Epub 2017 May 5.

17.

GAPIT Version 2: An Enhanced Integrated Tool for Genomic Association and Prediction.

Tang Y, Liu X, Wang J, Li M, Wang Q, Tian F, Su Z, Pan Y, Liu D, Lipka AE, Buckler ES, Zhang Z.

Plant Genome. 2016 Jul;9(2). doi: 10.3835/plantgenome2015.11.0120.

18.

Genome-Wide Association Study of Brown Stem Rot Resistance in Soybean across Multiple Populations.

Rincker K, Lipka AE, Diers BW.

Plant Genome. 2016 Jul;9(2). doi: 10.3835/plantgenome2015.08.0064.

19.

Characterization of Biosynthetic Pathways for the Production of the Volatile Homoterpenes DMNT and TMTT in Zea mays.

Richter A, Schaff C, Zhang Z, Lipka AE, Tian F, Köllner TG, Schnee C, Preiß S, Irmisch S, Jander G, Boland W, Gershenzon J, Buckler ES, Degenhardt J.

Plant Cell. 2016 Oct;28(10):2651-2665. Epub 2016 Sep 23.

20.

Genomic Prediction of Single Crosses in the Early Stages of a Maize Hybrid Breeding Pipeline.

Kadam DC, Potts SM, Bohn MO, Lipka AE, Lorenz AJ.

G3 (Bethesda). 2016 Nov 8;6(11):3443-3453. doi: 10.1534/g3.116.031286. Erratum in: G3 (Bethesda). 2017 Oct 5;7(10 ):3557-3558.

21.

ERα-XPO1 Cross Talk Controls Tamoxifen Sensitivity in Tumors by Altering ERK5 Cellular Localization.

Wrobel K, Zhao YC, Kulkoyluoglu E, Chen KL, Hieronymi K, Holloway J, Li S, Ray T, Ray PS, Landesman Y, Lipka AE, Smith RL, Madak-Erdogan Z.

Mol Endocrinol. 2016 Oct;30(10):1029-1045. Epub 2016 Aug 17.

22.

Variance in disease risk: rural populations and genetic diversity.

Jenkins WD, Lipka AE, Fogleman AJ, Delfino KR, Malhi RS, Hendricks B.

Genome. 2016 Jul;59(7):519-25. doi: 10.1139/gen-2016-0077. Epub 2016 May 24. Review.

PMID:
27334395
23.
24.

ZEAXANTHIN EPOXIDASE Activity Potentiates Carotenoid Degradation in Maturing Seed.

Gonzalez-Jorge S, Mehrshahi P, Magallanes-Lundback M, Lipka AE, Angelovici R, Gore MA, DellaPenna D.

Plant Physiol. 2016 Jul;171(3):1837-51. doi: 10.1104/pp.16.00604. Epub 2016 May 6.

25.

Characterization of Disease Resistance Loci in the USDA Soybean Germplasm Collection Using Genome-Wide Association Studies.

Chang HX, Lipka AE, Domier LL, Hartman GL.

Phytopathology. 2016 Oct;106(10):1139-1151. Epub 2016 Jul 11. Review.

26.

Genome-wide association and genomic prediction identifies associated loci and predicts the sensitivity of Tobacco ringspot virus in soybean plant introductions.

Chang HX, Brown PJ, Lipka AE, Domier LL, Hartman GL.

BMC Genomics. 2016 Feb 29;17:153. doi: 10.1186/s12864-016-2487-7.

27.

Field-Based High-Throughput Plant Phenotyping Reveals the Temporal Patterns of Quantitative Trait Loci Associated with Stress-Responsive Traits in Cotton.

Pauli D, Andrade-Sanchez P, Carmo-Silva AE, Gazave E, French AN, Heun J, Hunsaker DJ, Lipka AE, Setter TL, Strand RJ, Thorp KR, Wang S, White JW, Gore MA.

G3 (Bethesda). 2016 Apr 7;6(4):865-79. doi: 10.1534/g3.115.023515.

28.

Identification of haplotypes at the Rsv4 genomic region in soybean associated with durable resistance to soybean mosaic virus.

Ilut DC, Lipka AE, Jeong N, Bae DN, Kim DH, Kim JH, Redekar N, Yang K, Park W, Kang ST, Kim N, Moon JK, Saghai Maroof MA, Gore MA, Jeong SC.

Theor Appl Genet. 2016 Mar;129(3):453-68. doi: 10.1007/s00122-015-2640-8. Epub 2015 Dec 9.

PMID:
26649868
29.

From association to prediction: statistical methods for the dissection and selection of complex traits in plants.

Lipka AE, Kandianis CB, Hudson ME, Yu J, Drnevich J, Bradbury PJ, Gore MA.

Curr Opin Plant Biol. 2015 Apr;24:110-8. doi: 10.1016/j.pbi.2015.02.010. Epub 2015 Mar 17. Review.

PMID:
25795170
30.

Genome-wide association study based on multiple imputation with low-depth sequencing data: application to biofuel traits in reed canarygrass.

Ramstein GP, Lipka AE, Lu F, Costich DE, Cherney JH, Buckler ES, Casler MD.

G3 (Bethesda). 2015 Mar 12;5(5):891-909. doi: 10.1534/g3.115.017533.

31.

Accelerating the switchgrass (Panicum virgatum L.) breeding cycle using genomic selection approaches.

Lipka AE, Lu F, Cherney JH, Buckler ES, Casler MD, Costich DE.

PLoS One. 2014 Nov 12;9(11):e112227. doi: 10.1371/journal.pone.0112227. eCollection 2014.

32.

Accumulation of 5-hydroxynorvaline in maize (Zea mays) leaves is induced by insect feeding and abiotic stress.

Yan J, Lipka AE, Schmelz EA, Buckler ES, Jander G.

J Exp Bot. 2015 Feb;66(2):593-602. doi: 10.1093/jxb/eru385. Epub 2014 Sep 30.

33.

A foundation for provitamin A biofortification of maize: genome-wide association and genomic prediction models of carotenoid levels.

Owens BF, Lipka AE, Magallanes-Lundback M, Tiede T, Diepenbrock CH, Kandianis CB, Kim E, Cepela J, Mateos-Hernandez M, Buell CR, Buckler ES, DellaPenna D, Gore MA, Rocheford T.

Genetics. 2014 Dec;198(4):1699-716. doi: 10.1534/genetics.114.169979. Epub 2014 Sep 25.

34.

Carotenoid cleavage dioxygenase4 is a negative regulator of β-carotene content in Arabidopsis seeds.

Gonzalez-Jorge S, Ha SH, Magallanes-Lundback M, Gilliland LU, Zhou A, Lipka AE, Nguyen YN, Angelovici R, Lin H, Cepela J, Little H, Buell CR, Gore MA, Dellapenna D.

Plant Cell. 2013 Dec;25(12):4812-26. doi: 10.1105/tpc.113.119677. Epub 2013 Dec 24.

35.

Genome-wide analysis of branched-chain amino acid levels in Arabidopsis seeds.

Angelovici R, Lipka AE, Deason N, Gonzalez-Jorge S, Lin H, Cepela J, Buell R, Gore MA, Dellapenna D.

Plant Cell. 2013 Dec;25(12):4827-43. doi: 10.1105/tpc.113.119370. Epub 2013 Dec 24.

36.

Natural variation in maize aphid resistance is associated with 2,4-dihydroxy-7-methoxy-1,4-benzoxazin-3-one glucoside methyltransferase activity.

Meihls LN, Handrick V, Glauser G, Barbier H, Kaur H, Haribal MM, Lipka AE, Gershenzon J, Buckler ES, Erb M, Köllner TG, Jander G.

Plant Cell. 2013 Jun;25(6):2341-55. doi: 10.1105/tpc.113.112409. Epub 2013 Jun 28.

37.

Genome-wide association study and pathway-level analysis of tocochromanol levels in maize grain.

Lipka AE, Gore MA, Magallanes-Lundback M, Mesberg A, Lin H, Tiede T, Chen C, Buell CR, Buckler ES, Rocheford T, DellaPenna D.

G3 (Bethesda). 2013 Aug 7;3(8):1287-99. doi: 10.1534/g3.113.006148. Erratum in: G3 (Bethesda). 2014 Dec;4(12):2553.

38.

Lessons from Dwarf8 on the strengths and weaknesses of structured association mapping.

Larsson SJ, Lipka AE, Buckler ES.

PLoS Genet. 2013;9(2):e1003246. doi: 10.1371/journal.pgen.1003246. Epub 2013 Feb 21.

39.

Switchgrass genomic diversity, ploidy, and evolution: novel insights from a network-based SNP discovery protocol.

Lu F, Lipka AE, Glaubitz J, Elshire R, Cherney JH, Casler MD, Buckler ES, Costich DE.

PLoS Genet. 2013;9(1):e1003215. doi: 10.1371/journal.pgen.1003215. Epub 2013 Jan 17.

40.

GAPIT: genome association and prediction integrated tool.

Lipka AE, Tian F, Wang Q, Peiffer J, Li M, Bradbury PJ, Gore MA, Buckler ES, Zhang Z.

Bioinformatics. 2012 Sep 15;28(18):2397-9. Epub 2012 Jul 13.

PMID:
22796960
41.

Species dependence of [64Cu]Cu-Bis(thiosemicarbazone) radiopharmaceutical binding to serum albumins.

Basken NE, Mathias CJ, Lipka AE, Green MA.

Nucl Med Biol. 2008 Apr;35(3):281-6. doi: 10.1016/j.nucmedbio.2007.11.009. Epub 2008 Jan 30.

42.

Effect of width of disk fenestration and a ventral slot on biomechanics of the canine C5-C6 vertebral motion unit.

Fauber AE, Wade JA, Lipka AE, McCabe GP, Aper RL.

Am J Vet Res. 2006 Nov;67(11):1844-8.

PMID:
17078744

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