Skip to main content

Functional Genomic Approaches in Plant Research

  • Chapter
  • First Online:
Plant Bioinformatics

Abstract

The ultimate goal of the present-day plant breeders is to generate improved versions of crops to achieve food and nutritional security. The timely development of various functional genomic strategies has been instrumental in approaching this century-long goal. Tremendous acceleration in the forward and reverse genetics research is being witnessed owing to the recent developments in next-generation sequencing (NGS) platforms and big data analyses. RNAseq has revolutionized the transcriptomic research and has remarkable role in analyzing splice variants. Similarly, the development of gel-free proteomic platforms has provided the opportunity to study posttranslational modifications (PTMs), deepening the understanding of the proteome . The various targeted and untargeted metabolomic strategies have been handy in unraveling both the global and tissue-specific potential candidate metabolites. Therefore, there is an inevitable need to comprehend various functional genomic strategies to accomplish continuous progress in crop improvement. Hence, the main focus of this chapter is to provide detailed insights into various genomic, proteomic, and metabolomic strategies and their impact in crop improvement.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

References

  • Abbai R, Rajagopalan VR, Nallathambi JS, Dubey H, Selvaraj S, Varalakshmi B et al (2016) Proteomic analysis of compatible and incompatible interactions of wheat with Puccinia triticina. Physiol Mol Plant Pathol 96:36–46

    Article  CAS  Google Scholar 

  • Aleman F, Yazaki J, Lee M, Takahashi Y, Kim AY, Li Z et al (2016) An ABA-increased interaction of the PYL6 ABA receptor with MYC2 transcription factor: a putative link of ABA and JA signaling. Sci Rep 6:28941

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Al-Yassin A, Khademian R (2015) Allelic variation of salinity tolerance genes in barley ecotypes (natural populations) using EcoTILLING: a review article

    Google Scholar 

  • Ao Y, Li Z, Feng D, Xiong F, Liu J, Li JF et al (2014) OsCERK1 and OsRLCK176 play important roles in peptidoglycan and chitin signaling in rice innate immunity. Plant J 80(6):1072–1084. %@ 365-313X

    Article  CAS  PubMed  Google Scholar 

  • Arentz G, Weiland F, Oehler MK, Hoffmann P (2015) State of the art of 2D DIGE. PROTEOMICS-Clin Appl 9(3–4):277–288

    Article  CAS  PubMed  Google Scholar 

  • Bajaj D, Srivastava R, Nath M, Tripathi S, Bharadwaj C, Upadhyaya HD, et al (2016) EcoTILLING-based association mapping efficiently delineates functionally relevant natural allelic variants of candidate genes governing agronomic traits in chickpea. Front Plant Sci (7):1–9

    Google Scholar 

  • Bassel GW, Gaudinier A, Brady SM, Hennig L, Rhee SY, De Smet I (n.d., 2012) Systems analysis of plant functional, transcriptional, physical interaction, and metabolic networks. Plant Cell 24(10):3859–3875. (1532-298X (Electronic))

    Google Scholar 

  • Bauer D, Muüller H, Reich J, Riedel H, Warthoe P, Strauss M (1993) Identification of differentially expressed mRNA species by an improved display technique (DDRT-PCR). Nucleic Acids Res 21(18):4272–4280. %@ 0305-1048

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Bayer EM, Bottrill AR, Walshaw J, Vigouroux M, Naldrett MJ, Thomas CL et al (2006) Arabidopsis cell wall proteome defined using multidimensional protein identification technology. Proteomics 6(1):301–311

    Article  CAS  PubMed  Google Scholar 

  • Baysal C, Bortesi L, Zhu C, Farré G, Schillberg S, Christou P (2016) CRISPR/Cas9 activity in the rice OsBEIIb gene does not induce off-target effects in the closely related paralog OsBEIIa. Mol Breed 36(8):1–11

    Article  CAS  Google Scholar 

  • Bortesi L, Fischer R (2015) The CRISPR/Cas9 system for plant genome editing and beyond. Biotechnol Adv 33(1):41–52

    Article  CAS  PubMed  Google Scholar 

  • Breyne P, Dreesen R, Cannoot B, Rombaut D, Vandepoele K, Rombauts S et al (2003) Quantitative cDNA-AFLP analysis for genome-wide expression studies. Mol Gen Genomics 269(2):173–179

    CAS  Google Scholar 

  • Cao H, He M, Zhu C, Yuan L, Dong L, Bian Y et al (2016) Distinct metabolic changes between wheat embryo and endosperm during grain development revealed by 2D-DIGE-based integrative proteome analysis. Proteomics 16(10):1515–1536

    Article  CAS  PubMed  Google Scholar 

  • Chan EK, Rowe HC, Corwin JA, Joseph B, Kliebenstein DJ (2011) Combining genome-wide association mapping and transcriptional networks to identify novel genes controlling glucosinolates in Arabidopsis thaliana. PLoS Biol 9(8):e1001125

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Chanda B, Xia Y, Mandal MK, Yu K, Sekine KT, Gao Q-M et al (2011) Glycerol-3-phosphate is a critical mobile inducer of systemic immunity in plants. Nat Genet 43(5):421–427

    Article  CAS  PubMed  Google Scholar 

  • Chaudhary S, Sharma PC (2015) DeepSAGE based differential gene expression analysis under cold and freeze stress in seabuckthorn (Hippophae rhamnoides L.) PLoS One 10(3):e0121982

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Chen W, Gao Y, Xie W, Gong L, Lu K, Wang W et al (2014) Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism. Nat Genet 46(7):714–721

    Article  CAS  PubMed  Google Scholar 

  • Choudhary MK, Nomura Y, Shi H, Nakagami H, Somers DE (2016) Circadian profiling of the Arabidopsis proteome using 2D-DIGE. Front Plant Sci 7:1007

    Article  PubMed  PubMed Central  Google Scholar 

  • Chuang T-J, Yang M-Y, Lin C-C, Hsieh P-H, Hung L-Y (2015) Comparative genomics of grass EST libraries reveals previously uncharacterized splicing events in crop plants. BMC Plant Biol 15(1):1

    Article  CAS  Google Scholar 

  • Colignon B, Raes M, Dieu M, Delaive E, Mauro S (2013) Evaluation of three-dimensional gel electrophoresis to improve quantitative profiling of complex proteomes. Proteomics 13(14):2077–2082

    Article  CAS  PubMed  Google Scholar 

  • van Dam NM, Bouwmeester HJ (2016) Metabolomics in the rhizosphere: tapping into belowground chemical communication. Trends Plant Sci 21(3):256–265

    Article  PubMed  CAS  Google Scholar 

  • Dawson AM, Ferguson JN, Gardiner M, Green P, Hubbard A, Moscou MJ (2016) Isolation and fine mapping of Rps6: an intermediate host resistance gene in barley to wheat stripe rust. Theor Appl Genet 129(4):831–843

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • De Palma M, D’Agostino N, Proietti S, Bertini L, Lorito M, Ruocco M et al (2016) Suppression subtractive hybridization analysis provides new insights into the tomato (Solanum lycopersicum L.) response to the plant probiotic microorganism Trichoderma longibrachiatum MK1. J Plant Physiol 190:79–94

    Article  PubMed  CAS  Google Scholar 

  • Diatchenko L, Lau YF, Campbell AP, Chenchik A, Moqadam F, Huang B et al (1996) Suppression subtractive hybridization: a method for generating differentially regulated or tissue-specific cDNA probes and libraries. Proc Natl Acad Sci 93(12):6025–6030. %@ 0027-8424

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Djamei A, Schipper K, Rabe F, Ghosh A, Vincon V, Kahnt J et al (2011) Metabolic priming by a secreted fungal effector. Nature 478(7369):395–398

    Article  CAS  PubMed  Google Scholar 

  • Duggan DJ, Bittner M, Chen Y, Meltzer P, Trent JM (1999) Expression profiling using cDNA microarrays. Nat Genet 21:10–14

    Article  CAS  PubMed  Google Scholar 

  • Edwards D, Batley J (2010) Plant genome sequencing: applications for crop improvement. Plant Biotechnol J 8(1):2–9

    Article  CAS  PubMed  Google Scholar 

  • Edzesi WM, Dang X, Liang L, Liu E, Zaid IU, Hong D (2016) Genetic diversity and elite allele mining for grain traits in rice (Oryza sativa L.) by association mapping. Front Plant Sci 7:787

    Article  PubMed  PubMed Central  Google Scholar 

  • Eloh K, Sasanelli N, Maxia A, Caboni P (2016) Untargeted metabolomics of tomato plants after root-knot nematode infestation. J Agric Food Chem 64(29):5963–5968

    Article  CAS  PubMed  Google Scholar 

  • Fang Y, Huang J, Huang X, Chen S, Zou P, Li W et al (2015) Generation of expressed sequence tags from a cDNA library of Coleus forskohlii for identification of genes involved in terpene biosynthesis. Biol Plant 59(3):463–468

    Article  CAS  Google Scholar 

  • Feussner I, Polle A (2015) What the transcriptome does not tell—proteomics and metabolomics are closer to the plants’ patho-phenotype. Curr Opin Plant Biol 26:26–31

    Article  CAS  PubMed  Google Scholar 

  • Gardiner LJ, Bansept-Basler P, Olohan L, Joynson R, Brenchley R, Hall N et al (2016) Mapping-by-sequencing in complex polyploid genomes using genic sequence capture: a case study to map yellow rust resistance in hexaploid wheat. Plant J 87:403

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Ghannam A, Alek H, Doumani S, Mansour D, Arabi MI (2016) Deciphering the transcriptional regulation and spatiotemporal distribution of immunity response in barley to Pyrenophora graminea fungal invasion. BMC Genomics 17(1):1

    Article  CAS  Google Scholar 

  • Goff SA, Ricke D, Lan T-H, Presting G, Wang R, Dunn M et al (2002) A draft sequence of the rice genome (Oryza sativa L. ssp. japonica). Science 296(5565):92–100

    Article  CAS  PubMed  Google Scholar 

  • Gul A, Ahad A, Akhtar S, Ahmad Z, Rashid B, Husnain T (2016) Microarray: gateway to unravel the mystery of abiotic stresses in plants. Biotechnol Lett 38(4):527–543

    Article  CAS  PubMed  Google Scholar 

  • Han C, He D, Li M, Yang P (2014) In-depth proteomic analysis of rice embryo reveals its important roles in seed germination. Plant Cell Physiol 55:1826–1847

    Article  CAS  PubMed  Google Scholar 

  • Han R, Rai A, Nakamura M, Suzuki H, Takahashi H, Yamazaki M et al (2016) De novo deep transcriptome analysis of medicinal plants for gene discovery in biosynthesis of plant natural products. Methods Enzymol 576:19

    Article  CAS  PubMed  Google Scholar 

  • Hayashi-Tsugane M, Maekawa M, Tsugane K (2015) A gain-of-function Bushy dwarf tiller 1 mutation in rice microRNA gene miR156d caused by insertion of the DNA transposon nDart1. Sci Rep 5:14357

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Hsia MM, Vogel JP (2015) Transformation and T-DNA mutagenesis. Genetics and Genomics of Brachypodium: Springer, pp 147–153

    Google Scholar 

  • Huang X (2016) From genetic mapping to molecular breeding: genomics have paved the highway. Mol Plant 9:959–960

    Article  CAS  PubMed  Google Scholar 

  • Huang X, Wei X, Sang T, Zhao Q, Feng Q, Zhao Y et al (2010) Genome-wide association studies of 14 agronomic traits in rice landraces. Nat Genet 42(11):961–967

    Article  CAS  PubMed  Google Scholar 

  • Huo H, Henry IM, Coppoolse ER, Verhoef-Post M, Schut JW, Rooij H et al (2016a) Rapid identification of lettuce seed germination mutants by bulked segregant analysis and whole genome sequencing. Plant J 88:345–360

    Article  CAS  PubMed  Google Scholar 

  • Huo Y, Wang M, Wei Y, Xia Z (2016b) Overexpression of the Maize psbA gene enhances drought tolerance through regulating antioxidant system, photosynthetic capability, and stress defense gene expression in tobacco. Front Plant Sci 6:1223. http://journal.frontiersin.org/article/10.3389/fpls.2015.01223. Frontiers in Plant Science. 6(1223%M):%7%8 2016-January-12%9 Original Research %+ Zongliang Xia,State Key Laboratory of Wheat, Maize Crop Science in Henan Province, Synergetic Innovation Center of Henan Grain, xiazl08@163.com %+ Zongliang Xia, Crops, College of Life Science, Henan Agricultural University, Zhengzhou, China, xiazl08@163.com %# %! psbA confers drought tolerance %* %<

    Article  PubMed  PubMed Central  Google Scholar 

  • Iida S, Terada R (2004) A tale of two integrations, transgene and T-DNA: gene targeting by homologous recombination in rice. Curr Opin Biotechnol 15(2):132–138

    Article  CAS  PubMed  Google Scholar 

  • Ipsaro JJ, Joshua-Tor L (2015) From guide to target: molecular insights into eukaryotic RNA-interference machinery. Nat Struct Mol Biol 22(1):20–28

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Issaq HJ, Veenstra TD (2008) Two-dimensional polyacrylamide gel electrophoresis (2D-PAGE): advances and perspectives. BioTechniques 44(5):697

    Article  CAS  PubMed  Google Scholar 

  • Jangam AP, Pathak RR, Raghuram N (2016) Microarray analysis of Rice d1 (RGA1) mutant reveals the potential role of G-protein alpha subunit in regulating multiple abiotic stresses such as drought, salinity, heat, and cold. Front Plant Sci 7:11

    Article  PubMed  PubMed Central  Google Scholar 

  • Jankowicz-Cieslak J, Till BJ (2015) Forward and reverse genetics in crop breeding. Advances in plant breeding strategies: breeding, biotechnology and molecular tools. Springer, pp 215–240

    Google Scholar 

  • Jeon JS, Lee S, Jung KH, Jun SH, Jeong DH, Lee J et al (2000) T-DNA insertional mutagenesis for functional genomics in rice. Plant J 22(6):561–570

    Article  CAS  PubMed  Google Scholar 

  • Jeong D-H, An S, Kang H-G, Moon S, Han J-J, Park S et al (2002) T-DNA insertional mutagenesis for activation tagging in rice. Plant Physiol 130(4):1636–1644

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Jia X, Sun C, Zuo Y, Li G, Li G, Ren L et al (2016) Integrating transcriptomics and metabolomics to characterise the response of Astragalus membranaceus Bge. var. mongolicus (Bge.) to progressive drought stress. BMC Genomics 17(1):1

    Google Scholar 

  • Jiang W, Zhou H, Bi H, Fromm M, Yang B, Weeks DP (2013) Demonstration of CRISPR/Cas9/sgRNA-mediated targeted gene modification in Arabidopsis, tobacco, sorghum and rice. Nucleic Acids Res 41:e188

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Jin L, Lu Y, Xiao P, Sun M, Corke H, Bao J (2010) Genetic diversity and population structure of a diverse set of rice germplasm for association mapping. Theor Appl Genet 121(3):475–487

    Article  PubMed  Google Scholar 

  • Jin B, Zhou X, Jiang B, Gu Z, Zhang P, Qian Q et al (2015) Transcriptome profiling of the spl5 mutant reveals that SPL5 has a negative role in the biosynthesis of serotonin for rice disease resistance. Rice 8(1):1

    Article  CAS  Google Scholar 

  • Jogi A, Kerry JW, Brenneman TB, Leebens-Mack JH, Gold SE (2016) Identification of genes differentially expressed during early interactions between the stem rot fungus (Sclerotium rolfsii) and peanut (Arachis hypogaea) cultivars with increasing disease resistance levels. Microbiol Res 184:1–12

    Article  CAS  PubMed  Google Scholar 

  • Jorrín-Novo JV, Pascual J, Sánchez-Lucas R, Romero-Rodríguez MC, Rodríguez-Ortega MJ, Lenz C et al (2015) Fourteen years of plant proteomics reflected in proteomics: moving from model species and 2DE-based approaches to orphan species and gel-free platforms. Proteomics 15(5–6):1089–1112

    Article  PubMed  CAS  Google Scholar 

  • Jung K-H, Kim S-R, Giong H-K, Nguyen MX, Koh H-J, An G (2015) Genome-wide identification and functional analysis of genes expressed ubiquitously in rice. Mol Plant 8(2):276–289

    Article  CAS  PubMed  Google Scholar 

  • Kaneko K, Sasaki M, Kuribayashi N, Suzuki H, Sasuga Y, Shiraya T et al (2016) Proteomic and glycomic characterization of rice chalky grains produced under moderate and high-temperature conditions in field system. Rice 9(1):1–16

    Article  Google Scholar 

  • Kaul S, Koo HL, Jenkins J, Rizzo M, Rooney T, Tallon LJ et al (2000) Analysis of the genome sequence of the flowering plant Arabidopsis thaliana. Nature 408(6814):796–815

    Article  CAS  Google Scholar 

  • Kempin SA, Liljegren SJ, Block LM, Rounsley SD, Yanofsky MF, Lam E (1997) Targeted disruption in Arabidopsis. Nature 389(6653):802–803

    Article  CAS  PubMed  Google Scholar 

  • Kim S-I, Tai TH (2014) Identification of novel rice low phytic acid mutations via TILLING by sequencing. Mol Breed 34(4):1717–1729

    Article  CAS  Google Scholar 

  • Lee S, Yang DS, Uppalapati SR, Sumner LW, Mysore KS (2013) Suppression of plant defense responses by extracellular metabolites from Pseudomonas syringae pv. tabaci in Nicotiana benthamiana. BMC Plant Biol 13(1):1

    Article  Google Scholar 

  • Li X, Yan W, Agrama H, Jia L, Jackson A, Moldenhauer K et al (2012) Unraveling the complex trait of harvest index with association mapping in rice (Oryza sativa L.) PLoS One 7(1):e29350

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Li H, Peng Z, Yang X, Wang W, Fu J, Wang J et al (2013) Genome-wide association study dissects the genetic architecture of oil biosynthesis in maize kernels. Nat Genet 45(1):43–50

    Article  CAS  PubMed  Google Scholar 

  • Liao J-L, Zhou H-W, Zhang H-Y, Zhong P-A, Huang Y-J (2014) Comparative proteomic analysis of differentially expressed proteins in the early milky stage of rice grains during high temperature stress. J Exp Bot 65(2):655–671

    Article  CAS  PubMed  Google Scholar 

  • Liu JM, Park SJ, Huang J, Lee EJ, Xuan YH, Je BI et al (2016) Loose Plant Architecture1 (LPA1) determines lamina joint bending by suppressing auxin signalling that interacts with C-22-hydroxylated and 6-deoxo brassinosteroids in rice. J Exp Bot 67:1883–1895

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Lu T, Lu G, Fan D, Zhu C, Li W, Zhao Q et al (2010) Function annotation of the rice transcriptome at single-nucleotide resolution by RNA-seq. Genome Res 20(9):1238–1249

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Lu Y-B, Qi Y-P, Yang L-T, Lee J, Guo P, Ye X et al (2015) Long-term boron-deficiency-responsive genes revealed by cDNA-AFLP differ between Citrus sinensis roots and leaves. Front Plant Sci 6:585

    PubMed  PubMed Central  Google Scholar 

  • Luo J (2015) Metabolite-based genome-wide association studies in plants. Curr Opin Plant Biol 24:31–38

    Article  CAS  PubMed  Google Scholar 

  • MacBeath G (2002) Protein microarrays and proteomics. Nat Genet 32:526–532

    Article  CAS  PubMed  Google Scholar 

  • Maekawa S, Suzuki A, Sugano S, Suzuki Y (2014) RNA sequencing: from sample preparation to analysis. Trans Factor Regul Netw: Methods Protocols 1164:51–65

    Google Scholar 

  • Maghuly F, Jankowicz-Cieslak J, Till BJ, Laimer M (2013) The use of EcoTILLING for the genetic improvement of Jatropha curcas L. Jatropha, challenges for a new energy crop. Springer, pp 335–349

    Google Scholar 

  • Manzanares C, Yates S, Ruckle M, Nay M, Studer B (2016) TILLING in forage grasses for gene discovery and breeding improvement. New Biotechnol 33:594–603

    Article  CAS  Google Scholar 

  • Martins S, Dohmann EM, Dompierre J, Fischer W, Pojer F, Jaillais Y et al (2015) Dual role for ubiquitin in plant steroid hormone receptor endocytosis. Nat Commun 6:6151

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Mathiyalagan R, Subramaniyam S, Natarajan S, Kim YJ, Sun MS, Kim SY et al (2013) Insilico profiling of microRNAs in Korean ginseng (Panax ginseng Meyer). J Ginseng Res 37(2):227–247

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Matsuda F, Nakabayashi R, Yang Z, Okazaki Y, Yonemaru JI, Ebana K et al (2015) Metabolome-genome-wide association study dissects genetic architecture for generating natural variation in rice secondary metabolism. Plant J 81(1):13–23

    Article  CAS  PubMed  Google Scholar 

  • Matsumura H, Reich S, Ito A, Saitoh H, Kamoun S, Winter P et al (2003) Gene expression analysis of plant host–pathogen interactions by SuperSAGE. Proc Natl Acad Sci 100(26):15718–15723

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Mazzucato A, Cellini F, Bouzayen M, Zouine M, Mila I, Minoia S et al (2015) A TILLING allele of the tomato Aux/IAA9 gene offers new insights into fruit set mechanisms and perspectives for breeding seedless tomatoes. Mol Breed 35(1):1–15

    Article  Google Scholar 

  • Mochida K, Shinozaki K (2015) Library resources: BACs, ESTs, full-length cDNAs, and Y2H. Genetics and genomics of brachypodium. Springer, pp 171–181

    Google Scholar 

  • Moin M, Bakshi A, Saha A, Udaya Kumar M, Reddy AR, Rao K et al (2016) Activation tagging in indica rice identifies ribosomal proteins as potential targets for manipulation of water-use efficiency and abiotic stress tolerance in plants. Plant Cell Environ 39:2440–2459

    Article  CAS  PubMed  Google Scholar 

  • Muktar MS, Lübeck J, Strahwald J, Gebhardt C (2015) Selection and validation of potato candidate genes for maturity corrected resistance to Phytophthora infestans based on differential expression combined with SNP association and linkage mapping. Front Genet 6:294

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Návarová H, Bernsdorff F, Döring A-C, Zeier J (2012) Pipecolic acid, an endogenous mediator of defense amplification and priming, is a critical regulator of inducible plant immunity. Plant Cell 24(12):5123–5141

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Oladosu Y, Rafii MY, Abdullah N, Hussin G, Ramli A, Rahim HA et al (2016) Principle and application of plant mutagenesis in crop improvement: a review. Biotechnol Biotechnol Equip 30(1):1–16

    Article  CAS  Google Scholar 

  • Peters JL, Cnudde F, Gerats T (2003) Forward genetics and map-based cloning approaches. Trends Plant Sci 8(10):484–491. %@ 1360-85

    Article  CAS  PubMed  Google Scholar 

  • Popescu SC, Popescu GV, Bachan S, Zhang Z, Seay M, Gerstein M et al (2007) Differential binding of calmodulin-related proteins to their targets revealed through high-density Arabidopsis protein microarrays. Proc Natl Acad Sci 104(11):4730–4735

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Rebolledo M, Dingkuhn M, Courtois B, Gibon Y, Clément-Vidal A, Cruz DF et al (2015) Phenotypic and genetic dissection of component traits for early vigour in rice using plant growth modelling, sugar content analyses and association mapping. J Exp Bot 66(18):5555–5566

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Rutley N, Twell D (2015) A decade of pollen transcriptomics. Plant Reprod 28(2):73–89

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Sakurai T, Yamada Y, Sawada Y, Matsuda F, Akiyama K, Shinozaki K et al (2013) PRIMe update: innovative content for plant metabolomics and integration of gene expression and metabolite accumulation. Plant Cell Physiol 54(2):e5-e

    Article  CAS  Google Scholar 

  • Sander JD, Joung JK (2014) CRISPR-Cas systems for editing, regulating and targeting genomes. Nat Biotechnol 32(4):347–355

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Sathyabhama M, Viswanathan R, Nandakumar M, Malathi P, Sundar AR (2015) Understanding sugarcane defence responses during the initial phase of Colletotrichum falcatum pathogenesis by suppression subtractive hybridization (SSH). Physiol Mol Plant Pathol 91:131–140

    Article  CAS  Google Scholar 

  • Schneeberger K, Weigel D (2011) Fast-forward genetics enabled by new sequencing technologies. Trends Plant Sci 16(5):282–288. %@ 1360-85

    Article  CAS  PubMed  Google Scholar 

  • Schneeberger K, Ossowski S, Lanz C, Juul T, Petersen AH, Nielsen KL et al (2009) SHOREmap: simultaneous mapping and mutation identification by deep sequencing. Nat Methods 6(8):550–551. %@ 1548-7091

    Article  CAS  PubMed  Google Scholar 

  • Scigelova M, Makarov A (2006) Orbitrap mass analyzer–overview and applications in proteomics. Proteomics 6(S2):16–21

    Article  PubMed  CAS  Google Scholar 

  • Shiraya T, Mori T, Maruyama T, Sasaki M, Takamatsu T, Oikawa K et al (2015) Golgi/plastid-type manganese superoxide dismutase involved in heat-stress tolerance during grain filling of rice. Plant Biotechnol J 13(9):1251–1263

    Article  CAS  PubMed  Google Scholar 

  • Shu C, Chen J, Sun S, Zhang M, Wang C, Zhou E (2015) Two distinct classes of protein related to GTB and RRM are critical in the sclerotial metamorphosis process of Rhizoctonia solani AG-1 IA. Funct Integr Genomics 15(4):449–459

    Article  CAS  PubMed  Google Scholar 

  • Su X, Zhou P, Wang R, Luo Z, Xia Z (2015) Overexpression of the maize psbA gene enhances sulfur dioxide tolerance in transgenic tobacco. Plant Cell Tissue Organ Cult (PCTOC) 120(1):303–311

    Article  CAS  Google Scholar 

  • Subramaniyam S, Mathiyalagan R, Natarajan S, Kim Y-J, Jang M-G, Park J-H et al (2014) Transcript expression profiling for adventitious roots of Panax ginseng Meyer. Gene 546(1):89–96

    Article  CAS  PubMed  Google Scholar 

  • Sumner LW, Lei Z, Nikolau BJ, Saito K (2015) Modern plant metabolomics: advanced natural product gene discoveries, improved technologies, and future prospects. Nat Prod Rep 32(2):212–229

    Article  CAS  PubMed  Google Scholar 

  • Sun H, Schneeberger K (2015) SHOREmap v3. 0: fast and accurate identification of causal mutations from forward genetic screens. Plant Functional Genomics: Methods Protocol 1284:381–395

    CAS  Google Scholar 

  • Tohge T, Fernie AR (2015) Metabolomics-inspired insight into developmental, environmental and genetic aspects of tomato fruit chemical composition and quality. Plant Cell Physiol 56:1681–1696

    Article  CAS  PubMed  Google Scholar 

  • Tripathi P, Rabara RC, Rushton PJ (2014) A systems biology perspective on the role of WRKY transcription factors in drought responses in plants. Planta 239(2):255–266. %@ 0032-935

    Article  CAS  PubMed  Google Scholar 

  • Vera-Estrella R, Barkla BJ, Pantoja O (2014) Comparative 2D-DIGE analysis of salinity responsive microsomal proteins from leaves of salt-sensitive Arabidopsis thaliana and salt-tolerant Thellungiella salsuginea. J Proteome 111:113–127

    Article  CAS  Google Scholar 

  • Vuylsteke M, Peleman JD, van Eijk MJT (2007) AFLP-based transcript profiling (cDNA-AFLP) for genome-wide expression analysis. Nat Protoc 2(6):1399–1413. %@ 754-2189

    Article  CAS  PubMed  Google Scholar 

  • Walker V, Bertrand C, Bellvert F, Moënne-Loccoz Y, Bally R, Comte G (2011) Host plant secondary metabolite profiling shows a complex, strain-dependent response of maize to plant growth-promoting rhizobacteria of the genus Azospirillum. New Phytol 189(2):494–506. %@ 1469-8137

    Article  CAS  PubMed  Google Scholar 

  • Wang N, Shi L (2015) Screening of mutations by TILLING in plants. Plant Genotyping: Methods Protocol 1245:193–203

    CAS  Google Scholar 

  • Wang Z, Gerstein M, Snyder M (2009) RNA-Seq: a revolutionary tool for transcriptomics. Nat Rev Genet 10(1):57–63

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Wang Y, Cao L, Zhang Y, Cao C, Liu F, Huang F et al (2015a) Map-based cloning and characterization of BPH29, a B3 domain-containing recessive gene conferring brown planthopper resistance in rice. J Exp Bot 66(19):6035–6045

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Wang H, Meng J, Peng X, Tang X, Zhou P, Xiang J et al (2015b) Rice WRKY4 acts as a transcriptional activator mediating defense responses toward Rhizoctonia solani, the causing agent of rice sheath blight. Plant Mol Biol 89(1–2):157–171

    Article  CAS  PubMed  Google Scholar 

  • Wang Y-N, Tang L, Hou Y, Wang P, Yang H, Wei C-L (2016) Differential transcriptome analysis of leaves of tea plant (Camellia sinensis) provides comprehensive insights into the defense responses to Ectropis oblique attack using RNA-Seq. Funct Integr Genomics 16:383–398

    Article  CAS  PubMed  Google Scholar 

  • Washburn MP, Wolters D, Yates JR (2001) Large-scale analysis of the yeast proteome by multidimensional protein identification technology. Nat Biotechnol 19(3):242–247

    Article  CAS  PubMed  Google Scholar 

  • Wei R, Li G, Seymour AB (2010) High-throughput and multiplexed LC/MS/MRM method for targeted metabolomics. Anal Chem 82(13):5527–5533

    Article  CAS  PubMed  Google Scholar 

  • Wei J, Choi H, Jin P, Wu Y, Yoon J, Lee Y-S et al (2016) GL2-type homeobox gene Roc4 in rice promotes flowering time preferentially under long days by repressing Ghd7. Plant Sci 252:133–143

    Article  CAS  PubMed  Google Scholar 

  • Wen W, Li D, Li X, Gao Y, Li W, Li H et al (2014) Metabolome-based genome-wide association study of maize kernel leads to novel biochemical insights. Nat Commun 5:3438

    PubMed  PubMed Central  Google Scholar 

  • Wu B, Su X (2016) Identification of drought response genes in Zygophyllum xanthoxylum by suppression subtractive hybridization. J Plant Biol 59(4):377–385

    Article  CAS  Google Scholar 

  • Wu F, Guo Q, Zhang W, Jin W (2015a) Identification and analysis of powdery mildew-responsive miRNAs in wheat. J Phytopathol 163(4):264–270

    Article  CAS  Google Scholar 

  • Wu J, Zhang Z, Zhang Q, Han X, Gu X, Lu T (2015b) The molecular cloning and clarification of a photorespiratory mutant, oscdm1, using enhancer trapping. Front Genet 6:226

    PubMed  PubMed Central  Google Scholar 

  • Xiao D, Liu S-T, Wei Y-P, Zhou D-Y, Hou X-L, Li Y et al (2016) cDNA-AFLP analysis reveals differential gene expression in incompatible interaction between infected non-heading Chinese cabbage and Hyaloperonospora parasitica. Horticult Res 3:16034

    Article  CAS  Google Scholar 

  • Xiong Y, Peng X, Cheng Z, Liu W, Wang G-L (2016) A comprehensive catalog of the lysine-acetylation targets in rice (Oryza sativa) based on proteomic analyses. J Proteome 138:20–29

    Article  CAS  Google Scholar 

  • Xu R-F, Li H, Qin R-Y, Li J, Qiu C-H, Yang Y-C et al (2015) Generation of inheritable and “transgene clean” targeted genome-modified rice in later generations using the CRISPR/Cas9 system. Sci Rep 5:11491

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Xuan YH, Kim CM, Je BI, Liu JM, Li TY, Lee GS et al (2016) Transposon Ds-mediated insertional mutagenesis in Rice (Oryza sativa). Curr Protocol Plant Biol:466–487

    Google Scholar 

  • Yates JR, Ruse CI, Nakorchevsky A (2009) Proteomics by mass spectrometry: approaches, advances, and applications. Annu Rev Biomed Eng 11:49–79

    Article  CAS  PubMed  Google Scholar 

  • Ye H, Feng J, Zhang L, Zhang J, Mispan MS, Cao Z et al (2015) Map-based cloning of seed Dormancy1-2 identified a gibberellin synthesis gene regulating the development of endosperm-imposed dormancy in rice. Plant Physiol 169(3):2152–2165

    CAS  PubMed  PubMed Central  Google Scholar 

  • Yu H, Wang T (2016) Proteomic dissection of endosperm starch granule associated proteins reveals a network coordinating starch biosynthesis and amino acid metabolism and glycolysis in rice endosperms. Front Plant Sci 7:707

    PubMed  PubMed Central  Google Scholar 

  • Yu J, Hu S, Wang J, Wong GK-S, Li S, Liu B et al (2002) A draft sequence of the rice genome (Oryza sativa L. ssp. indica). Science 296(5565):79–92

    Article  CAS  PubMed  Google Scholar 

  • Zhang H, Zhang J, Wei P, Zhang B, Gou F, Feng Z et al (2014) The CRISPR/Cas9 system produces specific and homozygous targeted gene editing in rice in one generation. Plant Biotechnol J 12(6):797–807

    Article  CAS  PubMed  Google Scholar 

  • Zhang JJ, Wu SY, Jiang L, Wang JL, Zhang X, Guo XP et al (2015) A detailed analysis of the leaf rolling mutant sll2 reveals complex nature in regulation of bulliform cell development in rice (Oryza sativa L.) Plant Biol 17(2):437–448

    Article  CAS  PubMed  Google Scholar 

  • Zhao L, Yang M, Shen Q, Liu X, Shi Z, Wang S et al (2016) Functional characterization of three trehalase genes regulating the chitin metabolism pathway in rice brown planthopper using RNA interference. Sci Rep 6:27841

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Zhu X, Guo S, Wang Z, Du Q, Xing Y, Zhang T et al (2016) Map-based cloning and functional analysis of YGL8, which controls leaf colour in rice (Oryza sativa). BMC Plant Biol 16(1):134

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Zuo W, Chao Q, Zhang N, Ye J, Tan G, Li B et al (2015) A maize wall-associated kinase confers quantitative resistance to head smut. Nat Genet 47(2):151–157

    Article  CAS  PubMed  Google Scholar 

  • Zybailov B, Rutschow H, Friso G, Rudella A, Emanuelsson O, Sun Q et al (2008) Sorting signals, N-terminal modifications and abundance of the chloroplast proteome. PLoS One 3(4):e1994. %@ 32-6203

    Article  PubMed  PubMed Central  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Sathiyamoorthy Subramaniyam or Deok Chun Yang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Abbai, R., Subramaniyam, S., Mathiyalagan, R., Yang, D.C. (2017). Functional Genomic Approaches in Plant Research. In: Hakeem, K., Malik, A., Vardar-Sukan, F., Ozturk, M. (eds) Plant Bioinformatics. Springer, Cham. https://doi.org/10.1007/978-3-319-67156-7_8

Download citation

Publish with us

Policies and ethics