Skip to main content Accessibility help
×
Hostname: page-component-8448b6f56d-t5pn6 Total loading time: 0 Render date: 2024-04-19T17:28:31.645Z Has data issue: false hasContentIssue false

13 - Utilizing next generation sequencing for evo-devo study of plant traits

from Part III - Next Generation Challenges and Questions

Published online by Cambridge University Press:  05 June 2016

Rachel H. Walker
Affiliation:
University of Cambridge, UK
Paula J. Rudall
Affiliation:
Royal Botanic Gardens, Kew, UK
Beverley J. Glover
Affiliation:
University of Cambridge, UK
Peter D. Olson
Affiliation:
Natural History Museum, London
Joseph Hughes
Affiliation:
University of Glasgow
James A. Cotton
Affiliation:
Wellcome Trust Sanger Institute, Cambridge
Get access

Summary

Introduction

Evolutionary developmental biology (evo-devo) involves the integration of developmental genetics, phylogenetics and morphology in order to understand how the diversity of life evolved. The origin of developmental processes and their subsequent modifications underlie the plasticity necessary to generate novel features and patterns, which in turn underpin species diversification. Interdisciplinary cohesion between systematic and developmental fields for the study of morphological evolution remains at best patchy. An integrated approach is necessary to understand the genetic basis of developmental traits and their evolutionary significance within a phylogenetic framework. The wealth of opportunity that NGS can provide for systematics and evo-devo offers a timely opportunity to further integrate these fields.

Here, we discuss how NGS can be utilized to address several aspects of plant biology, revolutionizing both the systematic study of species and the genetic basis of the developmental traits that they exhibit. We use the South African daisy Gorteria diffusa Thunb. (Asteraceae) to illustrate the potential of a systematic evo-devo approach to study petal spot development and also discuss the importance of considering homology when generating comparative sequence datasets, as well as related topics.

Integrating systematic and evo-devo studies using NGS

Evo-devo has much to offer systematics because it can provide developmental and functional contexts for traits whose homologies are difficult to assess on the basis of morphology. More fundamentally, it also provides a perspective for understanding evolutionary processes. Plant evo-devo should be a synthesis between developmental genetics, comparative morphology and phylogenetic systematics (Hawkins 2002). Such a synthesis of fields can provide a deeper understanding of traits, illuminating the genetic basis of development and morphology within an evolutionary framework. The data to reconstruct phylogenies have never been more readily available and will become increasingly so with the continuing development of NGS technologies.

However, in practical terms, systematic and developmental fields have not been widely integrated, particularly with regard to the use of phylogenetic estimates for evo-devo studies, which, by definition, should incorporate a phylogenetic context to address the formation and modification of developmental processes and networks. Phylogenetic systematics and comparative morphology provide an optimal basis for sampling strategies and the design of developmental genetic studies. Both broad sampling and rigorous testing of a phylogenetic framework are essential to identify gene sequence homology and reconstruct ancestral states.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2016

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Altschul, S. F., Gish, W., Miller, W., Myers, E. W. and Lipman, D. J. (1990). Basic Local Alignment Search Tool. Journal of Molecular Biology, 215, 403–10.CrossRefGoogle ScholarPubMed
Ando, K. and Grumet, R. (2010). Transcriptional profiling of rapidly growing cucumber fruit by 454-pyrosequencing analysis. Journal of the American Society for Horticultural Science, 135, 291–302.Google Scholar
Angeloni, F., Wagemaker, C. A. M., Jetten, M. S. M., et al. (2011). De novo transcriptome characterization and development of genomic tools for Scabiosa columbaria L. using next-generation sequencing techniques. Molecular Ecology Resources, 11, 662–74.CrossRefGoogle ScholarPubMed
Baird, N. A., Etter, P. D., Atwood, T. S., et al. (2008). Rapid SNP discovery and genetic mapping using sequenced RAD markers. PLoS One, 3, e3376.CrossRefGoogle ScholarPubMed
Barchi, L., Lanteri, S., Portis, E., et al. (2011). Identification of SNP and SSR markers in eggplant using RAD tag sequencing. BMC Genomics, 12, 304–12.CrossRefGoogle ScholarPubMed
Benson, D. A., Karsch-Mizrachi, I., Lipman, D. J., Ostell, J. and Wheeler, D. L. (2005). GenBank. Nucleic Acids Research, 33, D34–D38.Google ScholarPubMed
Braeutigam, A., Mullick, T., Schliesky, S. and Weber, A. P. M. (2011). Critical assessment of assembly strategies for non-model species mRNA-Seq data and application of next-generation sequencing to the comparison of C(3) and C(4) species. Journal of Experimental Botany, 62, 3093–102.Google Scholar
Bremer, K. (1994). Asteraceae, Cladistics and Classification. Portland, Oregon, Timber Press.Google Scholar
Buehler, D., Graf, R., Holderegger, R. and Gugerli, F. (2011). Using the 454 pyrosequencing-based technique in the development of nuclear microsatellite loci in the alpine plant Arabis alpina (Brassicaceae). American Journal of Botany, 98, E103–E105.CrossRefGoogle Scholar
Buggs, R. J. A., Chamala, S., Wu, W., et al. (2010). Characterization of duplicate gene evolution in the recent natural allopolyploid Tragopogon miscellus by next-generation sequencing and Sequenom iPLEX MassARRAY genotyping. Molecular Ecology, 19, 132–46.CrossRefGoogle ScholarPubMed
Buggs, R. J. A., Renny-Byfield, S., Chester, M., et al. (2012). Next-generation sequencing and genome evolution in allopolyploids. American Journal of Botany, 99, 372–82.CrossRefGoogle ScholarPubMed
Chen, S., Luo, H., Li, Y., et al. (2011a). 454 EST analysis detects genes putatively involved in ginsenoside biosynthesis in Panax ginseng.Plant Cell Reports, 30, 1593–601.CrossRefGoogle ScholarPubMed
Chen, S., Zhou, R., Huang, Y., et al. (2011b). Transcriptome sequencing of a highly salt tolerant mangrove species Sonneratia alba using Illumina platform. Marine Genomics, 4, 129–36.CrossRefGoogle ScholarPubMed
Chutimanitsakun, Y., Nipper, R. W., Cuesta-Marcos, A., et al. (2011). Construction and application for QTL analysis of a Restriction Site Associated DNA (RAD) linkage map in barley. BMC Genomics, 12, 4–16.CrossRefGoogle ScholarPubMed
Csencsics, D., Brodbeck, S. and Holderegger, R. (2010). Cost-effective, species-specific microsatellite development for the endangered Dwarf Bulrush (Typha minima) using next-generation sequencing technology. Journal of Heredity, 101, 789–93.CrossRefGoogle ScholarPubMed
Delano-Frier, J. P., Aviles-Arnaut, H., Casarrubias-Castillo, K., et al. (2011). Transcriptomic analysis of grain amaranth (Amaranthus hypochondriacus) using 454 pyrosequencing: comparison with A. tuberculatus, expression profiling in stems and in response to biotic and abiotic stress. BMC Genomics, 12, 363–80.CrossRefGoogle ScholarPubMed
Ellis, A. G. and Johnson, S. D. (2009). The evolution of floral variation without pollinator shifts in Gorteria diffusa (Asteraceae). American Journal of botany, 96, 793–801.CrossRefGoogle Scholar
Ellis, A. G. and Johnson, S. D. (2010). Floral mimicry enhances pollen export: the evolution of pollination by sexual deceit outside of the Orchidaceae. The American Naturalist, 176, e143–51.CrossRefGoogle ScholarPubMed
Griffin, P. C., Robin, C. and Hoffmann, A. A. (2011). A next-generation sequencing method for overcoming the multiple gene copy problem in polyploid phylogenetics, applied to Poa grasses. BMC Biology, 9, 19–36.CrossRefGoogle ScholarPubMed
Han, Y., Kang, Y., Torres-Jerez, I., et al. (2011). Genome-wide SNP discovery in tetraploid alfalfa using 454 sequencing and high resolution melting analysis. BMC Genomics, 12, 1–11.CrossRefGoogle ScholarPubMed
Hao, D. C., Ge, G. B., Xiao, P. G., Zhang, Y. Y. and Yang, L. (2011). The first insight into the tissue specific Taxus transcriptome via Illumina second generation sequencing. PLoS One, 6, e21220.CrossRefGoogle Scholar
Hawkins, J. A. (2002). Evolutionary developmental biology: impact on systematic theory and practice, and the contribution of systematics. In Developmental Genetics and Plant Evolution, ed. Cronk, Q. C. B., Bateman, R. M. and Hawkins, J. A.. London, Taylor and Francis; pp. 32–51.CrossRefGoogle Scholar
Hribova, E., Neumann, P., Matsumoto, T., Roux, N., Macas, J. and Dolezel, J. (2010). Repetitive part of the banana (Musa acuminata) genome investigated by low-depth 454 sequencing. BMC Plant Biology, 10, 204–13.CrossRefGoogle ScholarPubMed
Johnson, S. D. and Midgley, J. J. (1997). Fly pollination of Gorteria diffusa (Asteraceae), and a possible mimetic function for dark spots on the capitulum. American Journal of Botany, 84, 429–36.CrossRefGoogle Scholar
Kane, N., Sveinsson, S., Dempewolf, H., et al. (2012). Ultra-barcoding in cacao (Theobroma spp., Malvaceae) using whole chloroplast genomes and nuclear ribosomal DNA. American Journal of Botany, 99, 320–9.CrossRefGoogle ScholarPubMed
Luo, H., Li, Y., Sun, C., et al. (2010). Comparison of 454-ESTs from Huperzia serrata and Phlegmariurus carinatus reveals putative genes involved in lycopodium alkaloid biosynthesis and developmental regulation. BMC Plant Biology, 10, 209–24.CrossRefGoogle ScholarPubMed
Macas, J., Neumann, P. and Navratilova, A. (2007). Repetitive DNA in the pea (Pisum sativum L.) genome: comprehensive characterization using 454 sequencing and comparison to soybean and Medicago truncatula. BMC Genomics, 8, 427–42.CrossRefGoogle ScholarPubMed
McKain, M. R., Wickett, N., Zhang, Y., et al. (2012). Phylogenomic analysis of transcriptome data elucidates co-occurrence of a paleopolyploid event and the origin of bimodal karyotypes in Agavoideae (Asparagaceae). American Journal of Botany, 99, 397–406.CrossRefGoogle Scholar
Michalczyk, I. M., Schumacher, C., Mengel, C., Leyer, I. and Liepelt, S. (2011). Identification and characterization of 12 microsatellite loci in Cnidium dubium (Apiaceae) using next-generation sequencing. American Journal of Botany, 98, e127–9.CrossRefGoogle ScholarPubMed
Michalski, S. G. and Durka, W. (2012). Identification and characterization of microsatellite loci in the rush Juncus effusus (Juncaceae). American Journal of Botany, 99, e53–5.CrossRefGoogle Scholar
Mol, J., Grotewold, E. and Koes, R. (1998). How genes paint flowers and seeds. Trends in Plant Sciences, 3, 212–17.CrossRefGoogle Scholar
Natarajan, P. and Parani, M. (2011). De novo assembly and transcriptome analysis of five major tissues of Jatropha curcas L. using GS FLX titanium platform of 454 pyrosequencing. BMC Genomics, 12, 191–202.CrossRefGoogle ScholarPubMed
Novy, A., Flory, S. L., Honig, J. A., Bonos, S. and Hartman, J. M. (2012). Characterization of polymorphic microsatellites for the invasive grass Microstegium vimineum (Poaceae). American Journal of Botany, 99, e56–8.CrossRefGoogle Scholar
Oliver, R. E., Lazo, G. R., Lutz, J. D., et al. (2011). Model SNP development for complex genomes based on hexaploid oat using high-throughput 454 sequencing technology. BMC Genomics, 12, 77–91.CrossRefGoogle ScholarPubMed
Opgenoorth, L. (2009). Identification and characterization of microsatellite marker in the tetraploid Juniperus tibetica Kom. using next generation sequencing. Conservaton Genetic Resources, 1, 253–255.Google Scholar
Peng, Y., Abercrombie, L. L. G., Yuan, J. S., et al. (2010). Characterization of the horseweed (Conyza canadensis) transcriptome using GS-FLX 454 pyrosequencing and its application for expression analysis of candidate non-target herbicide resistance genes. Pest Management Science, 66, 1053–62.CrossRefGoogle ScholarPubMed
Pfender, W. F., Saha, M. C., Johnson, E. A. and Slabaugh, M. B. (2011). Mapping with RAD (restriction-site associated DNA) markers to rapidly identify QTL for stem rust resistance in Lolium perenne.Theoretical and Applied Genetics, 122, 1467–80.CrossRefGoogle ScholarPubMed
Rowe, H. C., Renaut, S. and Guggisbery, A. (2011). RAD in the realm of next-generation sequencing technologies. Molecular Ecology, 20, 3499–502.Google ScholarPubMed
Scotland, R. W. (2010). Deep homology: a view from systematics. Bioessays, 32, 438–49.CrossRefGoogle ScholarPubMed
Shubin, N., Tabin, C. and Carroll, S. (2009). Deep homology and the origins of evolutionary novelty. Nature, 457, 818–23.CrossRefGoogle ScholarPubMed
Thomas, M. M., Rudall, P. J., Ellis, A. G., Savolainen, V. and Glover, B. J. (2009). Development of a complex floral trait: the pollinator-attracting petal spots of the beetle daisy, Gorteria diffusa (Asteraceae). American Journal of Botany, 96, 2184–96.CrossRefGoogle Scholar
Walker, R. H. (2012). Determining the regulators of petal spot development in Gorteria diffusa (Asteraceae). PhD thesis, University of Cambridge, UK.
Wagner, G. P., Chui, C. H. and Laubichler, M. (2000). Developmental evolution as a mechanistic science: the inference from developmental mechanisms to evolutionary processes. American Zoologist, 40, 819–31.Google Scholar
Wang, W., Wang, Y., Zhang, Q., Qi, Y. and Guo, D. (2009). Global characterization of Artemisia annua glandular trichome transcriptome using 454 pyrosequencing. BMC Genomics, 10, 465–74.CrossRefGoogle ScholarPubMed
Wang, Z., Fang, B., Chen, J., et al. (2010). De novo assembly and characterization of root transcriptome using Illumina paired-end sequencing and development of cSSR markers in sweetpotato (Ipomoea batatas). BMC Genomics, 11, 726–39.CrossRefGoogle Scholar
Winkel-Shirley, B. (2002). Biosynthesis of flavonoids and effects of stress. Current Opinion in Plant Biology, 5, 218–23.CrossRefGoogle ScholarPubMed
Yang, P., Li, X., Shipp, M. J., Shockey, J. M. and Cahoon, E. B. (2010). Mining the bitter melon (Momordica charantia L.) seed transcriptome by 454 analysis of non-normalized and normalized cDNA populations for conjugated fatty acid metabolism-related genes. BMC Plant Biology, 10, 250–69.CrossRefGoogle ScholarPubMed
You, F. M., Huo, N., Deal, K. R., et al. (2011). Annotation-based genome-wide SNP discovery in the large and complex Aegilops tauschii genome using next-generation sequencing without a reference genome sequence. BMC Genomics, 12, 59–77.CrossRefGoogle ScholarPubMed
Zagrobelny, M., Scheibye-Alsing, K., Jensen, N. B., Moller, B. L., Gorodkin, J. and Bak, S. (2009). 454 pyrosequencing based transcriptome analysis of Zygaena filipendulae with focus on genes involved in biosynthesis of cyanogenic glucosides. BMC Genomics, 10, 574–88.CrossRefGoogle ScholarPubMed

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×