[1]Schork N J. Genetics of complex disease—Approaches, problems, and solutions. Am J Resp Crit Care, 1997, 156: S103–S109

[2]Davis B D. The isolation of biochemically deficient mutants of bacteria by means of Penicillin. Proc Natl Acad Sci USA, 1949, 35: 1–10

[3]Soule M. Phenetics of natural populations I. Phenetic relationships of insular populations of the side-blotched lizard. Evolution, 1967, 21: 584–591

[4]Conrad M, Rizki M M. The artificial worlds approach to emergent evolution. BioSystems, 1989, 23: 247–258

[5]Mahner M, Kary M. What exactly are genomes, genotypes and phenotypes? And what about phenomes? J Theor Biol, 1997, 186: 55–63

[6]Varki A, Wills C, Perlmutter D, Woodruff D, Gage F, Moore J, Semendeferi K, Bernirschke K, Katzman R, Doolittle R. Great ape phenome project? Science, 1998, 282: 239–240

[7]Strohman R C. Linear genetics, non-linear epigenetics: complementary approaches to understanding complex diseases. Integr Phys Beh Sci, 1995, 30: 273–282

[8]Dulbecco R. A turning point in cancer research: sequencing the human genome. Science, 1986, 231: 1055–1056

[9]Schilling C H, Edwards J S, Palsson B O. Toward metabolic phenomics: analysis of genomic data using flux balances. Biotechnol Prog, 1999, 15: 288–295

[10]Kelsoe J R, Niculescu A B. Finding genes for bipolar disorder in the functional genomics era: from convergent functional genomics to phenomics and back. CNS Spectr, 2002, 7: 215–226 

[11]Bader G D, Heilbut A, Andrews B, Tyers M, Hughes T, Boone C. Functional genomics and proteomics: charting a multidimensional map of the yeast cell. Trends Cell Biol, 2003, 13: 344–356

[12]Sauer U. High-throughput phenomics: experimental methods for mapping fluxomes. Curr Opin Biotech, 2004, 15: 58–63

[13]Joy T, Hegele R A. Genetics of metabolic syndrome: is there a role for phenomics? Curr Atheroscler Rep, 2008, 10: 201–208

[14]Whiteley A R, Derome N, Rogers S M, St-Cyr J, Laroche J, Labbe A, Nolte A, Renaut S, Jeukens J, Bernatchez L. The phenomics and expression quantitative trait locus mapping of brain transcriptomes regulating adaptive divergence in lake whitefish species pairs (Coregonus sp.). Genetics, 2008, 180: 147–164

[15]Bilder R M, Sabb F W, Cannon T D, London E D, Jentsch J D, Parker D S, Poldrack R A, Evans CFreimer N B. Phenomics: the systematic study of phenotypes on a genome-wide scale. Neuroscience, 2009, 164: 30–42

[16]Lanktree M B, Hassell R G, Lahiry P, Hegele R A. Phenomics: expanding the role of clinical evaluation in genomic studies. J Invest Med, 2010, 58: 700–706

[17]Houle D, Govindaraju D R, Omholt S. Phenomics: the next challenge. Nat Rev Genet, 2010, 11: 855–866

[18]Maddatu T P, Grubb S C, Bult C J, Bogue M A. Mouse phe-nome database (MPD). Nucl Acids Res, 2012, 40(D1): D887–D894

[19]Yang L, Wei G, Tang K, Nardini C, Han J D. Understanding human diseases with high-throughput quantitative measurement and analysis of molecular signatures. Sci China Life Sci, 2013, 56: 213–219

[20]Weckwerth W, Kahl G. The Handbook of Plant Metabolomics. Weinheim: Wiley-Blackwell Press, 2013. pp 1–100

[21]Hancock J M. Introduction to “Phenomics”. In: Hancock J M, ed. Phenomics. Boca Raton: CRC Press, 2014. pp 1–7

[22]Pieruschka R, Poorter H. Phenotyping plants: genes, phenes and machines Introduction. Funct Plant Biol, 2012, 39: 813–820

[23]Tester M, Langridge P. Breeding technologies to increase crop production in a changing world. Science, 2010, 327: 818–822

[24]Yang W, Duan L, Chen G, Xiong L, Liu Q. Plant phenomics and high-throughput phenotyping: accelerating rice functional genomics using multidisciplinary technologies. Curr Opin Plant Biol, 2013, 16: 180–187

[25]Dhondt S, Wuyts N, Inze D. Cell to whole-plant phenotyping: the best is yet to come. Trends Plant Sci, 2013, 18: 433–444

[26]White J W, Andrade-Sanchez P, Gore M A, Bronson K F, Coffelt T A, Conley M M, Feldmann K A, French A N, Heun J T, Hunsaker D J, Jenks M A, Kimball B A, Roth R L, Strand R J, Thorp K R, Wall G W, Wang G Y. Field-based phenomics for plant genetics research. Field Crops Res, 2012, 133: 101–112

[27]Johannsen W. The genotype conception of heredity. Am Nat, 1911, 45: 129–159

[28]Baylin S B, Gazdar A F, Minna J D, Bernal S D, Shaper J H. A unique cell-surface protein phenotype distinguishes human small-cell from non-small-cell lung cancer. Proc Natl Acad Sci USA, 1982, 79: 4650–4654

[29]Jimenez-Marin D, Dessauer H C. Protein phenotype variation in laboratory populations of Rattus norvegicus. Comp Bio-chem Phys B: Comp Biochem, 1973, 46: 487-488

[30]Pringle C, Duncan I, Stevenson M. Isolation and characteri-zation of temperature-sensitive mutants of vesicular stomatitis virus, New Jersey serotype. J Virol, 1971, 8: 836–841

[31]Frey T K, Youngner J S. Novel phenotype of RNA synthesis expressed by vesicular stomatitis virus isolated from persistent infection. J Virol, 1982, 44: 167–174

[32]Parsons P. The behavioral phenotype in mice. Am Nat, 1974, 108: 377–385

[33]De C B, Lefebvre V, Nakashima K. Regulatory mechanisms in the pathways of cartilage and bone formation. Curr Opin Cell Biol, 2001, 13: 721–728

[34]Reintanz B, Lehnen M, Reichelt M, Gershenzon J, Kowalczyk M, Sandberg G, Godde M, Uhl R, Palme K. Bus, a bushy Arabidopsis CYP79F1 knockout mutant with abolished synthesis of short-chain aliphatic glucosinolates. Plant Cell, 2001, 13: 351–367

[35]Okusu H, Ma DNikaido H. AcrAB efflux pump plays a major role in the antibiotic resistance phenotype of Escherichia coli multiple-antibiotic-resistance (Mar) mutants. J Bacteriol, 1996, 178: 306–308

[36]Fiorani F, Schurr U. Future scenarios for plant phenotyping. Annu Rev Plant Biol, 2013, 64: 267–291

[37]Geissler T, Wessjohann L A. A whole-plant microtiter plate assay for drought stress tolerance-inducing effects. J Plant Growth Regul, 2011, 30: 504–511

[38]Appels R. Plant phenome to genome: a mini-review. Funct Plant Biol, 2012, 39: 3–8

[39]Poorter H, Niinemets U, Walter A, Fiorani F, Schurr U. A method to construct dose-response curves for a wide range of environmental factors and plant traits by means of a meta-analysis of phenotypic data. J Exp Bot, 2010, 61: 2043–2055

[40]Cobb J N, DeClerck G, Greenberg A, Clark R, McCouch S. Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype–phenotype relationships and its relevance to crop improvement. Theor Appl Genet, 2013, 126: 867–887

[41]Brown T B, Cheng R, Sirault X R, Rungrat T, Murray K D, Trtilek M, Furbank R T, Badger M, Pogson B J, Borevitz J O. TraitCapture: genomic and environment modelling of plant phenomic data. Curr Opin Plant Biol, 2014, 18: 73–79

[42]Rengel D, Arribat S, Maury P, Martin-Magniette M L, Hourlier T, Laporte M, Vares D, Carrere S, Grieu P, Balzergue S, Gouzy J, Vincourt P, Langlade N B. A gene-phenotype network based on genetic variability for drought responses reveals key physiological processes in controlled and natural environments. PloS One, 2012, 7: e45249

[43]Zamir D. Where have all the crop phenotypes gone? PloS Biol, 2013, 11: e1001595

[44]Kohler S, Doelken S C, Mungall C J, Bauer S, Firth H V, Bailleul-Forestier I, Black G C M, Brown D L, Brudno M, Campbell J, FitzPatrick D R, Eppig J T, Jackson A P, Freson K, Girdea M, Helbig I, Hurst J A, Jahn J, Jackson L G, Kelly A M, Ledbetter D H, Mansour S, Martin C L, Moss C, Mumford A, Ouwehand W H, Park S M, Riggs E R, Scott R H, Sisodiya S, Van Vooren S, Wapner R J, Wilkie A O M, Wright C F, Vulto-van Silfhout A T, de Leeuw N, de Vries B B A, Washingthon N L, Smith C L, Westerfield M, Schofield P, Ruef B J, Gkoutos G V, Haendel M, Smedley D, Lewis S E, Robinson P N. The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data. Nucl Acids Res, 2014, 42(D1): D966–D974

[45]Mungall C J, Gkoutos G V, Smith C L, Haendel M A, Lewis S E, Ashburner M. Integrating phenotype ontologies across multiple species. Genome Biol, 2010, 11: R2

[46]Hu H, Zhang J Z, Sun X Y, Zhang X M. Estimation of leaf chlorophyll content of rice using image color analysis. Can J Remote Sens, 2013, 39: 185–190

[47]Rousseau C, Belin E, Bove E, Rousseau D, Fabre F, Berruyer R, Guillaumes J, Manceau C, Jacques M A, Boureau T. High throughput quantitative phenotyping of plant resistance using chlorophyll fluorescence image analysis. Plant Methods, 2013, 9: 17

[48]Feher-Juhasz E, Majer P, Sass L, Lantos C, Csiszar J, Turoczy Z, Mihaly R, Mai A, Horvath G V, Vass I, Dudits D, Pauk J. Phenotyping shows improved physiological traits and seed yield of transgenic wheat plants expressing the alfalfa aldose reductase under permanent drought stress. Acta Physiol Plant, 2014, 36: 663–673

[49]Matsuda O, Tanaka A, Fujita T, Iba K. Hyperspectral imaging techniques for rapid identification of Arabidopsis mutants with altered leaf pigment status. Plant Cell Physiol, 2012, 53: 1154–1170

[50]De S N. Machines learn phenotypes. Nat Methods, 2013, 10: 38–38