Abstract
Omics referring to a group of biological tools has greatly influenced today’s world of modern research. Genomics, transcriptomics, proteomics, and metabolomics together they help to bring out the best of characters in plants and other organisms for its improvement and enhancement of important bioactive compounds. Genomic study for finding chromosome location, phenotypic analysis by QTL mapping, genome-wide association studies (GWAS), etc. are being practiced along with the development of genome editing by CRISPERCas9 for a variety of crop plants under stress conditions from the past few years. Studies made on yeast and Arabidopsis, transcriptome profiling, and microarray-based studies could detect the significant alteration of gene expression and some rare novel transcript to map out the physiological pathways. Mass spectroscopy-based approaches like NMR, MALDI, and GC-MS came into being to simplify protein and metabolite studies, its structure, and its function which reciprocate in many important biological signalling cascades. Physiological and morphological changes in an organism due to environmental stress are an ongoing issue and newest addition to the research field, and with time, changes in the entire genome are a matter to look into where only molecular approaches can answer it. Thus, in this chapter we tried to summarize various aspects of omics tools and its future scope which can be utilize in climate change research.
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References
Aardema M, Grego MTJ (2002) Toxicology and genetic toxicology in the new era of “toxicogenomics”: impact of “-omics” technologies. Mutat Res 499:13–25
Abdelrahmana M, Burrittc DJ, Tran L-SP (2017) The use of metabolomic quantitative trait locus mapping and osmotic adjustment traits for the improvement of crop yields under environmental stresses. Semin Cell Dev Biol. https://doi.org/10.1016/j.semcdb.2017.06.020
Acuñagalindo MA, Mason RE, Subramanian NK, Hays DB (2015) Meta-analysis of wheat QTL regions associated with adaptation to drought and heat stress. Crop Sci 55(2):477–492. https://doi.org/10.2135/cropsci2013.11.0793
Avonce N, Leyman B, Mascorro-Gallardo JO, Van Dijck P, Thevelein JM, Iturriaga G (2004) The Arabidopsis trehalose-6-P synthase AtTPS1 gene is a regulator of glucose, abscisic acid, and stress signaling. Plant Physiol 136(3):3649–3659. https://doi.org/10.1104/pp.104.052084
Beck S, Olek A, Walter J (1999) From genomics to epigenomics: a loftier view of life. Nat Biotechnol 17(12):1144
Benina M, Obata T, Mehterov N, Ivanov I, Petrov V, Toneva V, Fernie AR, Gechev TS (2013) Comparative metabolic profiling of Haberlea rhodopensis, Thellungiella halophyla, and Arabidopsis thaliana exposed to low temperature. Front Plant Sci 4. https://doi.org/10.3389/fpls.2013.00499
Bhagirath D, Yang TL, Dahiya R, Majid S, Saini S (2019) Epigenetics of prostate cancer and novel chemopreventive and therapeutic approaches. Transl Epigenetics 8:287–308. https://doi.org/10.1016/B978-0-12-812494-9.00014-7
Bigot S, Buges J Gilly L, Jacques C, Boulch L P, Berger M , Delcros P, Domergue B J, Koeh A, Ley-Ngardiga B, Canh VTL, Couée I (2018) Pivotal roles of environmental sensing and signaling mechanisms in plant responses to climate change. https://doi.org/10.1111/gcb.14433
Bihaqi SW (2019) Early life exposure to lead (Pb) and changes in DNA methylation: relevance to Alzheimer’s disease. Rev Environ Health 34(2):187–195
Boyko A, Kovalchuk I (2011) Genome instability and epigenetic modification —heritable responses to environmental stress? Curr Opin Plant Biol 14(3):260–266. https://doi.org/10.1016/j.pbi.2011.03.003
Chang WC, Hsu GS, Chiang SM, Su MC (2006) Heavy metal removal from aqueous solution by wasted biomass from a combined AS-biofilm process. Bioresour Technol 97:1503–1508
Chen S, Harmon AC (2006) Advances in plant proteomics. Proteomics 20:5504–5516
Chen C, Harst A, You W, Xu J, Ning K, Poetsch A (2019) Proteomic study uncovers molecular principles of single-cell-level phenotypic heterogeneity in lipid storage of Nannochloropsis oceanica. Biotechnol Biofuels 12:21
Cho S, Yu S, Park J, Mao Y, Zhu J, Lee B (2017) Accession-dependent CBF gene deletion by CRISPR/Cas system in Arabidopsis. Front Plant Sci 8:1–11. https://doi.org/10.3389/fpls.2017.01910
D’Amelia L, Dell’Aversana E, Woodrow P, Ciarmiello LF, Carillo P (2018) Metabolomics for crop improvement against salinity stress. Salinity Responses Tolerance Plants 2:267–287. https://doi.org/10.1007/978-3-319-90318-7_11
Dass A, Abdin MZ, Reddy VS, Leelavathi S (2017) Isolation and characterization of the dehydration stress-inducible GhRDL1 promoter from the cultivated upland cotton (Gossypium hirsutum). J Plant Biochem Biotechnol 26(1):113–119. https://doi.org/10.1007/s13562-016-0369-3
Davies H (2010) A role for “omics” technologies in food safety assessment. Food Control 21:1601–1610
Debbarma J, Sarkia YN, Saikia B, Boruah DPH, Singha DL, Chikkaputtaiah C (2019) Ethylene response factor (ERF) family proteins in abiotic stresses and CRISPR–Cas9 genome editing of ERFs for multiple abiotic stress tolerance in crop plants: a review. Mol Biotechnol 61:153–172. https://doi.org/10.1007/s12033-018-0144-x
Depledge PD, Srinivas PK, Sadaoka T, Bready D, Mori Y, Placantonakis GD, Mohr I, Wilson CA (2019) Direct RNA sequencing on nanopore arrays redefines the transcriptional complexity of a viral pathogen. Nat Commun 10:754
Deshmukh R, Sonah H, Patil G, Chen W, Prince S, Mutava R, Vuong T, Valliyodan B, Nguyen HT (2014) Integrating omic approaches for abiotic stress tolerance in soybean. Front Plant Sci 5:244. https://doi.org/10.3389/fpls.2014.00244
Du Q, Bert SA, Armstrong NJ, Caldon CE, Song JZ, Nair SS, Gould CM, Luu PL, Peters T, Khoury A, Qu W, Zotenko E, Stirzaker C, Clark SJ (2019) Replication timing and epigenome remodeling are associated with the nature of chromosomal rearrangements in cancer. Nat Commun 10:416. https://doi.org/10.1038/s41467-019-08302-1
Escandón M, Meijón M, Valledor L, Pascual J, Pinto G, Cañal MJ (2018) Metabolome integrated analysis of high-temperature response in Pinus radiata. Front Plant Sci 9:485. https://doi.org/10.3389/fpls.2018.00485
Esfahani MN, Kusano M, Nguyen KH, Watanabe Y, Ha CV, Saito K, Suliema S, Herrera-Estrellah L, Tran LS (2016) Adaptation of the symbiotic Mesorhizobium–chickpea relationship to phosphate deficiency relies on reprogramming of whole-plant metabolism. Proc Natl Acad Sci 113(32):E4610–E4619. https://doi.org/10.1073/pnas.1609440113
Fiehn O (2001) Combining genomics, metabolome analysis, and biochemical modelling to understand metabolic networks. Comp Funct Genomics 2(3):155–168. https://doi.org/10.1002/cfg.82
Finnegan EJ, Genger RK, Peacock WJ, Dennis ES (1998) DNA methylation in plants. Annu Rev Plant Physiol Plant Mol Biol 49:223–247
Finnegan EJ, Peacock WJ, Dennis ES (2000) DNA methylation, a key regulator of plant development and other processes. Curr Opin Genet Dev 10:217–223
Franks SJ, Hoffmann AA (2012) Genetics of climate change adaptation. Ann Rev Genet 46(1):185–208. https://doi.org/10.1146/annurev-genet-110711-155511
Franssena SU, Gua J, Bergmannb N, Wintersa G, Klostermeierc UC, Rosenstielc P, Bornberg-Bauera E, Reuschb TBH (2011) Transcriptomic resilience to global warming in the seagrass Zostera marina, a marine foundation species. Proc Natl Acad Sci 108(48):19276–19281. https://doi.org/10.1073/pnas.1107680108
Garcia-Cela E, Verheecke-Vaessen C, Magan N, Medina A (2018) The “-omics” contributions to the understanding of mycotoxin production under diverse environmental conditions. Curr Opin Food Sci. https://doi.org/10.1016/j.cofs.2018.08.005
Ge Y, Wang DZ, Chiu JF, Cristoba S, Sheehan D, Silvestre F, Peng X, Li H, Gong Z, Lam SH, Wentao H, Iwahashi H, Liu J, Mei N, Shi L, Bruno M, Foth H, Teichman K (2013) Environmental OMICS: current status and future directions. J Integr Omics 3(2):75–87
Giavalisco P, Nordhoff E, Kreitler T, Klöppel KD, Lehrach H, Klose J, Gobom J (2005) Proteome analysis of Arabidopsis thaliana by two dimensional gel electrophoresis and matrix-assisted laser desorption/ionisation-time of flight mass spectrometry. Proteomics 5:1902–1913
Guo J, Wu J, Ji Q, Wang C, Luo L, Yuan Y, Wang Y, Wang J (2008) Genome-wide analysis of heat shock transcription factor families in rice and Arabidopsis. J Genet Genomics 35(2):105–118. https://doi.org/10.1016/s1673-8527(08)60016-8
Gupta B, Sengupta A, Saha J, Gupta K (2013) Plant abiotic stress: ‘omics’ approach. Plant Biochem Physiol 1:3. https://doi.org/10.4172/2329-9029.1000e108
Haque E, Taniguchi H, Hassan MM, Bhowmik P, Karim MR, Śmiech M et al (2018) Application of CRISPR/Cas9 genome editing technology for the improvement of crops cultivated in tropical climates: recent progress, prospects, and challenges. Front Plant Sci 9:1–12. https://doi.org/10.3389/fpls.2018.00617
Hashiguchi A, Ahsan N, Komatsu S (2010) Proteomics application of crops in the context of climatic changes. Food Res Int 43(7):1803–1813. https://doi.org/10.1016/j.foodres.2009.07.033
Horgan RP, Kenny LC (2011) SAC review ‘Omic’ technologies: genomics, transcriptomics, proteomics and metabolomics. Obstet Gynaecol 13(1):189–195. https://doi.org/10.1576/toag.13.3.189.27672
Hossain MA, Bhattacharjee S, Armin S-M, Qian P, Xin W, Li H-Y, Burritt DJ, Fujita M, Tran LS (2015) Hydrogen peroxide priming modulates abiotic oxidative stress tolerance: insights from ROS detoxification and scavenging. Front Plant Sci 6:420. https://doi.org/10.3389/fpls.2015.00420
Islam MS, Ontoy J, Subudhi PK (2019) Meta-analysis of quantitative trait loci associated with seedling-stage salt tolerance in Rice (Oryza sativa L.). Plan Theory 8(2):33. https://doi.org/10.3390/plants8020033
Jaenisch R, Bird A (2003) Epigenetic regulation of gene expression: how the genome integrates intrinsic and environmental signals. Nat Genet 33:245–254
Jorge TF, Rodrigues JA, Caldana C, Schmidt R, Dongen JTV, Thomas-Oates J, Antonio C (2016) Mass spectrometry-based plant metabolomics:metabolite responses to abiotic stress. Mass Spectrom Rev 35(5):620–649. https://doi.org/10.1002/mas.21449
Kaplan F, Kopka J, Haskell WD, Zhao W, Schiller KC, Gatzke N, Sung DY, Guy CL (2004) Exploring the temperature-stress metabolome of Arabidopsis. Plant Physiol 136:4159–4168
Kavi Kishor PB, Hong Z, Miao GC, Hu CAA, Verma DPS (1995) Overexpression of [delta]1-pyrroline-5-carboxylate synthetase increases proline production and confers osmotolerance in transgenic plants. Plant Physiol 108(4):1387–1394. https://doi.org/10.1104/pp.108.4.1387
Khan N, Bano A, Rahman MA, Rathinasabapathi B, Babar MA (2019) UPLC-HRMS-based untargeted metabolic profiling reveals changes in chickpea (Cicer arietinum) metabolome following long-term drought stress. Plant Cell Environ 42:115–132. https://doi.org/10.1111/pce.13195
Kim ST, Kim SG, Hwang DH, Kang SY, Kim HJ, Lee BH, Lee JJ, Kang KY (2004) Proteomic analysis of pathogen-responsive proteins from rice leaves induced by rice blast fungus Magnaporthe grisea. Proteomics 4:3569–3578. https://doi.org/10.1002/pmic.200400999
Kim YH, Cho K, Yun SH, Kim JY, Kwon KH, Yoo JS, Kim S (2006) Analysis of aromatic catabolic pathways in Pseudomonas putida KT 2440 using a combined proteomic approach: 2-DE/MS and cleavable isotope-coded affinity tag analysis. Proteomics 6:1301–1318. https://doi.org/10.1002/pmic.200500329
Kole C, Muthamilarasan M, Henry R, Edwards D, Sharma R, Abberton M et al (2015) Application of genomics-assisted breeding for generation of climate resilient crops: progress and prospects. Front Plant Sci 6:563. https://doi.org/10.3389/fpls.2015.00563
Kumar R, Kumari M (2018) Adaptive mechanisms of medicinal plants along altitude gradient:contribution of proteomics. Biol Plant 62(4):630–640. https://doi.org/10.1007/s10535-018-0817-0
Langridge P, Fleury D (2011) Making the most of ‘omics’ for crop breeding. Trends Biotechnol 29:33–40
Langridge P, Reynolds MP (2015) Genomic tools to assist breeding for drought tolerance. Curr Opin Biotechnol 32:130–135. https://doi.org/10.1016/j.copbio.2014.11.027
Li R, Liu C, Zhao R, Wang L, Chen L, Yu W, Zhang S, Sheng J, Shen L (2019) CRISPR/Cas9-mediated SlNPR1 mutagenesis reduces tomato plant drought tolerance. BMC Plant Biol 19(1):38. https://doi.org/10.1186/s12870-018-1627-4
Lighten J, Incarnato D, Ward BJ, van Oosterhout C, Bradbury I, Hanson M, Bentzen P (2016) Adaptive phenotypic response to climate enabled by epigenetics in a K-strategy species, the fish Leucoraja ocellata (Rajidae). R Soc Open Sci 3:160299
Liu AQ (2013) The impact of climate change on plant epigenomes. Trends Genet 29(9):503–505
Liu D, Chen X, Liu J, Ye J, Guo Z (2012) The rice ERF transcription factor OsERF922 negatively regulates resistance to Magnaporthe oryzae and salt tolerance. J Exp Bot 63:3899–3911. https://doi.org/10.1093/jxb/err313
Ly D, Huet S, Gauffreteau A, Rincent R, Touzy G, Mini A, Jannink JL, Cormier F, Paux E, Lafarge S, Gouis JL, Charmet G (2018) Whole-genome prediction of reaction norms to environmental stress in bread wheat (Triticum aestivum L.) by genomic random regression. Field Crop Res 216:32–41. https://doi.org/10.1016/j.fcr.2017.08.020
Mackelprang R, Saleska RS, Jacobsen CS, Jansson KJ, Tas N (2016) Permafrost Meta-omics and climate change. Ann Rev Earth Planet Sci 44(1):439–462. https://doi.org/10.1146/annurev-earth-060614-105126
May P, Liao W, Wu Y, Shuai B, McCombie WR, Zhang QM, Liu QA (2013) The effects of carbon dioxide and temperature on microRNA expression in Arabidopsis development. Nat Commun 4:2145. https://doi.org/10.1038/ncomms3145
McLean TI (2013) “Eco-omics”: a review of the application of genomics, transcriptomics, and proteomics for the study of the ecology of harmful algae. Microb Ecol 65:901–915
Meena KK, Sorty AM, Bitla UM, Choudhary K, Gupta P, Pareek A, Singh DP, Prabha R, Sahu PK, Gupta VK, Singh HB, Krishanani KK, Minhas PS (2017) Abiotic stress responses and microbe-mediated mitigation in plants: the omics strategies. Front Plant Sci 8:172. https://doi.org/10.3389/fpls.2017.00172
Meng L, Tong Z, Sisi G, Scott P, Li H, Chen S (2019) Comparative proteomics and metabolomics of JAZ7-mediated drought tolerance in Arabidopsis. J Proteome 196:81–91
Miao H, Sun P, Liu Q, Liu J, Xu B, Jin Z (2017) The AGPase family proteins in banana: genome-wide identification, phylogeny, and expression analyses reveal their involvement in the development, ripening, and abiotic/biotic stress responses. Int J Mol Sci 18(8):1–17. https://doi.org/10.3390/ijms18081581
Mittler R, Vanderauwera S, Gollery M, Breusegem FV (2004) Reactive oxygen gene network of plants. Trends Plant Sci 9(10):490–498. https://doi.org/10.1016/j.tplants.2004.08.009
Muthuramalingam P, Krishnan RS, Pandian S, Ramesh M (2017) Emerging trends on abiotic stress tolerance investigation in crop plants. Adv Biotechnol Microbiol 6(1):555678. https://doi.org/10.19080/AIBM.2017.06.555678
My T, Hoang L, Tran TN, Kieu T, Nguyen T, Williams B, Wurm P, Bellaires S, Mundree S (2016) Improvement of salinity stress tolerance in rice: challenges and opportunities. Agronomy 6:54. https://doi.org/10.3390/agronomy6040054
Nakabayashi R, Saito K (2015) Integrated metabolomics for abiotic stress responses in plants. Curr Opin Plant Biol 24(6):10–16
Ni Z, Li H, Zhao Y, Peng H, Hu Z, Xin M, Sun Q (2018) Genetic improvement of heat tolerance in wheat: recent progress in understanding the underlying molecular mechanisms. Crop J 6(1):32–34
Noctor G, Mhamdi A, Foyer CH (2014) The roles of reactive oxygen metabolism in drought: not so cut and dried. Plant Physiol 164(4):1636–1648. https://doi.org/10.1104/pp.113.233478
Obata T, Fernie AR (2012) The use of metabolomics to dissect plant responses to abiotic stresses. Cell Mol Life Sci 69(19):3225–3243. https://doi.org/10.1007/s00018-012-1091-5
Ou W, Mao X, Huang C, Tie W, Yan Y, Ding Z et al (2018) Genome-wide identification and expression analysis of the KUP family under abiotic stress in cassava (Manihot esculenta Crantz). Front Physiol 9:1–11. https://doi.org/10.3389/fphys.2018.00017
Pandey A, Mann M (2000) Proteomics to study genes and genomes. Nature 405(6788):837–846
Rahamana M, Mamidib S, Rahmana M (2018) Genome-wide association study of heat stress tolerance traits in spring-type Brassica napus L. under controlled conditions. Crop J 6(2):115–125. https://doi.org/10.1016/j.cj.2017.08.003
Ren B, Robert F, Wyrick JJ, Aparicio O, Jennings EG, Simon I, Zeitlinger J, Schreiber J, Hannett N (2000) Genome-wide location and function of DNA-binding proteins. Science 290:2306–2309
Rodziewicz P, Swarcewicz B, Chmielewska K, Wojakowska A, Stobiecki M (2014) Influence of abiotic stresses on plant proteome and metabolome Changes. Acta Physiol Plant 36(1):1–19. https://doi.org/10.1007/s11738-013-1402-y
Russ GL, Ungaro P (2019) Epigenetic mechanisms of quercetin and other flavonoids in cancer therapy and prevention. Transl Epigenetics 8:187–202. https://doi.org/10.1016/B978-0-12-812494-9.00009-3
Scheben A, Yuan Y, Edwards D (2016) Advances in genomics for adapting crops to climate change. Curr Plant Biol 6:2–10. https://doi.org/10.1016/j.cpb.2016.09.001
Seki M, Umezawa T, Urano K, Shinozak K (2007) Regulatory metabolic networks in drought stress responses. Curr Opin Plant Biol 10(3):296–302. https://doi.org/10.1016/j.pbi.2007.04.014
Sevillano GAM, García-Barrera T, Abril N, Pueyo C, López-Barea J, Gómez-Ariza LJ (2014) Omics technologies and their applications to evaluate metal toxicity in mice Mus spretus as a bioindicator. J Proteome 104:4–23
Shah T, Xu J, Zou X, Cheng Y, Nasir M, Zhang X (2018) Omics approaches for engineering wheat production under abiotic stresses. Int J Mol Sci 19(8):2390. https://doi.org/10.3390/ijms19082390
Singh S, Singhal NK, Srivastava G, Singh PM (2010) Omics in mechanistic and predictive toxicology. Toxicol Mech Methods 20(7):355–362
Skinner KM (2015) Environmental epigenetics and a unified theory of the molecular aspects of evolution: a neo-Lamarckian concept that facilitates neo-Darwinian evolution. Genome Biol Evol 7(5):1296–1302
Skinner JS, Szucs P, Zitzewitz JV, Marquez-Cedillo L, Filichkin T, Stockinger EJ, Thomashow MF, HH CT, Hayes PM (2006) Mapping of barley homologs to genes that regulate low temperature tolerance in Arabidopsis. Theoritical Appl Genet 112(5):832–842. https://doi.org/10.1007/s00122-005-0185-y
Stillman JH, Armstrong E (2015) Genomics are transforming our understanding of responses to climate change. Bioscience 65(3):237–246. https://doi.org/10.1093/biosci/biu219
Stylianou E (2013) Epigenetics: the fine-tuner in inflammatory bowel disease. Curr Opin Gastroenterol 29:370–377
Stylianou E (2019) Epigenetics of chronic inflammatory diseases. J Inflamm Res 12:1–14
Sun QX, Quick JS (1991) Chromosomal locations of genes for heat tolerance in tetraploid wheat. Cereal Res Commun 19(4):431–437
Szabados L, Savoure A (2010) Proline: a multifunctional amino acid. Trends Plant Sci 15(2):89–97. https://doi.org/10.1016/j.tplants.2009.11.009
Taji T, Ohsumi C, Iuchi S, Seki M, Kasuga M, Kobayashi M, Yamaguchi-Shinozaki K, Shinozaki K (2002) Important roles of drought- and cold-inducible genes for galactinol synthase in stress tolerance in Arabidopsis thaliana. The. Plant J 29(4):417–426. https://doi.org/10.1046/j.0960-7412.2001.01227.x
Todgham EA, Hofmann EG (2009) Transcriptomic response of sea urchin larvae Strongylocentrotus purpuratus to CO2-driven seawater acidification. J Exp Biol 212:2579–2594
Tripathy JN, Zhang J, Robin S, Nguyen HT (2000) QTLs for cell-membrane stability mapped in rice (Oryza sativa L.) under drought stress. Theoritical Appl Genet 100(8):1197–1202. https://doi.org/10.1007/s001220051424
Tyers M, Mann M (2003) From genomics to proteomics. Nature 422(6928):193–197
Urano K, Maruyama K, Ogata Y, Morishita Y, Takeda M, Sakurai N, Suzuki H, Saito K, Shibata D, Kobayashi M, Yamaguchi-Shinozaki K, Shinozaki K (2009) Characterization of the ABA-regulated global responses to dehydration in Arabidopsis by metabolomics. Plant J 57(6):1065–1078. https://doi.org/10.1111/j.1365-313X.2008.03748.x
Urano K, Kurihara Y, Seki M, Shinozaki K (2010) ‘Omics’ analyses of regulatory networks in plant abiotic stress responses. Curr Opin Plant Biol 13(1):132–138. https://doi.org/10.1016/j.pbi.2009.12.006
Valliyodan B, Nguyen HT (2006) Understanding regulatory networks and engineering for enhanced drought tolerance in plants. Curr Opin Plant Biol 9(2):189–195. https://doi.org/10.1016/j.pbi.2006.01.019
Valluru R, Reynolds MP, Davies WJ, Sukumaran S (2017) Phenotypic and genome-wide association analysis of spike ethylene in diverse wheat genotypes under heat stress. New Phytol 214(1):271–283. https://doi.org/10.1111/nph.14367
Varin T, Lovejoy C, Jungblut AD, Vincent WF, Corbeil J (2011) Metagenomic analysis of stress genes in microbial Mat communities from Antarctica and the high Arctic. Appl Environ Microbiol 78(2):549–559. https://doi.org/10.1128/AEM.06354-11
Verbruggen N, Hermans C (2008) Proline accumulation in plants: a review. Amino Acids 35(4):753–759. https://doi.org/10.1007/s00726-008-0061-6
Virzì MG, Clementi A, Broccal A, Cal DM, Ronco C (2017) Epigenetics: a potential key mechanism involved in the pathogenesis of cardiorenal syndromes. J Nephrol 31(3):333–341. https://doi.org/10.1007/s40620-017-0425-7
Vlaanderen J, Moore EL, Smith TM, Lan Q, Zhang L, Skibola FC, Rothman N, Vermeulen R (2010) Application of OMICS technologies in occupational and environmental health research; current status and projections. Occup Environ Med 67:136–143. https://doi.org/10.1136/oem.2008.042788
Wang Z, Gerstein M, Snyder M (2009) RNA-Seq: a revolutionary tool for transcriptomics. Nat Rev Genet 10:57
Wang X, Xua Y, Huc Z, Xua C (2018) Genomic selection methods for crop improvement:current status and prospects. Crop J 6(4):330–340. https://doi.org/10.1016/j.cj.2018.03.001
Whayne FT (2014) Epigenetics in the development, modification, and prevention of cardiovascular disease. Mol Biol Rep 42(4):765–776. https://doi.org/10.1007/s11033-014-3727-z
Wilkins MR, Williams KL, Appel RD, Hochstrasser DF (1997) Proteome research: new frontiers in functional genomics. Springer, Berlin. https://doi.org/10.1007/978-3-662-03493-4_5
Xu R, Sun Q, Zhang S (1996) Chromosomal location of genes for heat tolerance as measured by membrane thermostability of common wheat cv. Hope. Hereditas 18(4):1–3
Yan X, Hu Z, Feng Y, Hu X, Yuan J, Zhao SD et al (2015) Comprehensive genomic characterization of long non-coding RNAs across human cancers. Cancer Cell 28:529–540
Zhang W, Li F, Nie L (2010) Integrating multiple ‘omics’ analysis for microbial biology: application and methodologies. Microbiology 156:287–301
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All authors are highly grateful to the higher authority of respective department and institution for their help and support. Author (PK) would like to thanks DST-SERB (file no ECR/2017/001143) for the financial support.
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Author PK and MK conceived and designed the manuscript. HB, SB writes the manuscript. ZK helps in the writing of the manuscript. AK, MK, VT, PK critically reviewed the manuscript and did the require editing.
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Bora, H. et al. (2019). Current Status and Future Prospects of Omics Tools in Climate Change Research. In: Tripathi, V., Kumar, P., Tripathi, P., Kishore, A., Kamle, M. (eds) Microbial Genomics in Sustainable Agroecosystems. Springer, Singapore. https://doi.org/10.1007/978-981-32-9860-6_12
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