1
|
Huerlimann R, Cowley JA, Wade NM, Wang Y, Kasinadhuni N, Chan CKK, Jabbari JS, Siemering K, Gordon L, Tinning M, Montenegro JD, Maes GE, Sellars MJ, Coman GJ, McWilliam S, Zenger KR, Khatkar MS, Raadsma HW, Donovan D, Krishna G, Jerry DR. Genome assembly of the Australian black tiger shrimp (Penaeus monodon) reveals a novel fragmented IHHNV EVE sequence. G3 (Bethesda) 2022; 12:6526390. [PMID: 35143647 PMCID: PMC8982415 DOI: 10.1093/g3journal/jkac034] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 02/02/2022] [Indexed: 01/08/2023]
Abstract
Shrimp are a valuable aquaculture species globally; however, disease remains a major hindrance to shrimp aquaculture sustainability and growth. Mechanisms mediated by endogenous viral elements have been proposed as a means by which shrimp that encounter a new virus start to accommodate rather than succumb to infection over time. However, evidence on the nature of such endogenous viral elements and how they mediate viral accommodation is limited. More extensive genomic data on Penaeid shrimp from different geographical locations should assist in exposing the diversity of endogenous viral elements. In this context, reported here is a PacBio Sequel-based draft genome assembly of an Australian black tiger shrimp (Penaeus monodon) inbred for 1 generation. The 1.89 Gbp draft genome is comprised of 31,922 scaffolds (N50: 496,398 bp) covering 85.9% of the projected genome size. The genome repeat content (61.8% with 30% representing simple sequence repeats) is almost the highest identified for any species. The functional annotation identified 35,517 gene models, of which 25,809 were protein-coding and 17,158 were annotated using interproscan. Scaffold scanning for specific endogenous viral elements identified an element comprised of a 9,045-bp stretch of repeated, inverted, and jumbled genome fragments of infectious hypodermal and hematopoietic necrosis virus bounded by a repeated 591/590 bp host sequence. As only near complete linear ∼4 kb infectious hypodermal and hematopoietic necrosis virus genomes have been found integrated in the genome of P. monodon previously, its discovery has implications regarding the validity of PCR tests designed to specifically detect such linear endogenous viral element types. The existence of joined inverted infectious hypodermal and hematopoietic necrosis virus genome fragments also provides a means by which hairpin double-stranded RNA could be expressed and processed by the shrimp RNA interference machinery.
Collapse
Affiliation(s)
- Roger Huerlimann
- ARC Industrial Transformation Research Hub for Advanced Prawn Breeding, James Cook University, Townsville, QLD 4811, Australia.,Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, QLD 4811, Australia.,Centre for Tropical Bioinformatics and Molecular Biology, James Cook University, Townsville, QLD 4811, Australia
| | - Jeff A Cowley
- ARC Industrial Transformation Research Hub for Advanced Prawn Breeding, James Cook University, Townsville, QLD 4811, Australia.,CSIRO Agriculture and Food, St Lucia, QLD 4067, Australia
| | - Nicholas M Wade
- ARC Industrial Transformation Research Hub for Advanced Prawn Breeding, James Cook University, Townsville, QLD 4811, Australia.,CSIRO Agriculture and Food, St Lucia, QLD 4067, Australia
| | - Yinan Wang
- Australian Genome Research Facility Ltd, Level 13, Victorian Comprehensive Cancer Centre, Melbourne, VIC 3000, Australia
| | - Naga Kasinadhuni
- Australian Genome Research Facility Ltd, Level 13, Victorian Comprehensive Cancer Centre, Melbourne, VIC 3000, Australia
| | - Chon-Kit Kenneth Chan
- Australian Genome Research Facility Ltd, Level 13, Victorian Comprehensive Cancer Centre, Melbourne, VIC 3000, Australia
| | - Jafar S Jabbari
- Australian Genome Research Facility Ltd, Level 13, Victorian Comprehensive Cancer Centre, Melbourne, VIC 3000, Australia
| | - Kirby Siemering
- ARC Industrial Transformation Research Hub for Advanced Prawn Breeding, James Cook University, Townsville, QLD 4811, Australia.,Australian Genome Research Facility Ltd, Level 13, Victorian Comprehensive Cancer Centre, Melbourne, VIC 3000, Australia
| | - Lavinia Gordon
- Australian Genome Research Facility Ltd, Level 13, Victorian Comprehensive Cancer Centre, Melbourne, VIC 3000, Australia
| | - Matthew Tinning
- ARC Industrial Transformation Research Hub for Advanced Prawn Breeding, James Cook University, Townsville, QLD 4811, Australia.,Australian Genome Research Facility Ltd, Level 13, Victorian Comprehensive Cancer Centre, Melbourne, VIC 3000, Australia
| | - Juan D Montenegro
- Australian Genome Research Facility Ltd, Level 13, Victorian Comprehensive Cancer Centre, Melbourne, VIC 3000, Australia
| | - Gregory E Maes
- Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, QLD 4811, Australia.,Laboratory of Biodiversity and Evolutionary Genomics, Biogenomics-consultancy, KU Leuven, Leuven 3000, Belgium.,Center for Human Genetics, UZ Leuven- Genomics Core, KU Leuven, Leuven 3000, Belgium
| | | | - Greg J Coman
- ARC Industrial Transformation Research Hub for Advanced Prawn Breeding, James Cook University, Townsville, QLD 4811, Australia.,CSIRO Agriculture and Food, Bribie Island Research Centre, Woorim, QLD 4507, Australia
| | - Sean McWilliam
- ARC Industrial Transformation Research Hub for Advanced Prawn Breeding, James Cook University, Townsville, QLD 4811, Australia.,CSIRO Agriculture and Food, St Lucia, QLD 4067, Australia
| | - Kyall R Zenger
- ARC Industrial Transformation Research Hub for Advanced Prawn Breeding, James Cook University, Townsville, QLD 4811, Australia.,Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, QLD 4811, Australia
| | - Mehar S Khatkar
- ARC Industrial Transformation Research Hub for Advanced Prawn Breeding, James Cook University, Townsville, QLD 4811, Australia.,Faculty of Science, Sydney School of Veterinary Science, The University of Sydney, Camden, NSW 2570, Australia
| | - Herman W Raadsma
- ARC Industrial Transformation Research Hub for Advanced Prawn Breeding, James Cook University, Townsville, QLD 4811, Australia.,Faculty of Science, Sydney School of Veterinary Science, The University of Sydney, Camden, NSW 2570, Australia
| | - Dallas Donovan
- ARC Industrial Transformation Research Hub for Advanced Prawn Breeding, James Cook University, Townsville, QLD 4811, Australia.,Seafarms Group Ltd, Darwin, NT 0800, Australia
| | - Gopala Krishna
- ARC Industrial Transformation Research Hub for Advanced Prawn Breeding, James Cook University, Townsville, QLD 4811, Australia.,Seafarms Group Ltd, Darwin, NT 0800, Australia
| | - Dean R Jerry
- ARC Industrial Transformation Research Hub for Advanced Prawn Breeding, James Cook University, Townsville, QLD 4811, Australia.,Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, QLD 4811, Australia.,Centre for Tropical Bioinformatics and Molecular Biology, James Cook University, Townsville, QLD 4811, Australia
| |
Collapse
|
2
|
Scheben A, Chan CKK, Mansueto L, Mauleon R, Larmande P, Alexandrov N, Wing RA, McNally KL, Quesneville H, Edwards D. Progress in single-access information systems for wheat and rice crop improvement. Brief Bioinform 2020; 20:565-571. [PMID: 29659709 DOI: 10.1093/bib/bby016] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Improving productivity of the staple crops wheat and rice is essential to feed the growing global population, particularly in the context of a changing climate. However, current rates of yield gain are insufficient to support the predicted population growth. New approaches are required to accelerate the breeding process, and many of these are driven by the application of large-scale crop data. To leverage the substantial volumes and types of data that can be applied for precision breeding, the wheat and rice research communities are working towards the development of integrated systems to access and standardize the dispersed, heterogeneous available data. Here, we outline the initiatives of the International Wheat Information System (WheatIS) and the International Rice Informatics Consortium (IRIC) to establish Web-based single-access systems and data mining tools to make the available resources more accessible, drive discovery and accelerate the production of new crop varieties. We discuss the progress of WheatIS and IRIC towards unifying specialized wheat and rice databases and building custom software platforms to manage and interrogate these data. Single-access crop information systems will strengthen scientific collaboration, optimize the use of public research funds and help achieve the required yield gains in the two most important global food crops.
Collapse
Affiliation(s)
- Armin Scheben
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, 6009 Perth, WA, Australia
| | - Chon-Kit Kenneth Chan
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, 6009 Perth, WA, Australia
| | - Locedie Mansueto
- International Rice Research Institute, DAPO Box 7777, Metro Manila 1301, The Philippines
| | - Ramil Mauleon
- International Rice Research Institute, DAPO Box 7777, Metro Manila 1301, The Philippines
| | - Pierre Larmande
- IRD, UMR DIADE (Plant Diversity Adaptation and Development Research unit) , 911 Avenue Agropolis, 34394 Montpellier, France
| | - Nickolai Alexandrov
- International Rice Research Institute, DAPO Box 7777, Metro Manila 1301, The Philippines
| | - Rod A Wing
- Arizona Genomics Institute, University of Arizona, Tucson, Arizona, USA
| | - Kenneth L McNally
- International Rice Research Institute, DAPO Box 7777, Metro Manila 1301, The Philippines
| | | | - David Edwards
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, 6009 Perth, WA, Australia
| |
Collapse
|
3
|
Lee H, Golicz AA, Bayer PE, Severn-Ellis AA, Chan CKK, Batley J, Kendrick GA, Edwards D. Genomic comparison of two independent seagrass lineages reveals habitat-driven convergent evolution. J Exp Bot 2018; 69:3689-3702. [PMID: 29912443 PMCID: PMC6022596 DOI: 10.1093/jxb/ery147] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 04/12/2018] [Indexed: 05/06/2023]
Abstract
Seagrasses are marine angiosperms that live fully submerged in the sea. They evolved from land plant ancestors, with multiple species representing at least three independent return-to-the-sea events. This raises the question of whether these marine angiosperms followed the same adaptation pathway to allow them to live and reproduce under the hostile marine conditions. To compare the basis of marine adaptation between seagrass lineages, we generated genomic data for Halophila ovalis and compared this with recently published genomes for two members of Zosteraceae, as well as genomes of five non-marine plant species (Arabidopsis, Oryza sativa, Phoenix dactylifera, Musa acuminata, and Spirodela polyrhiza). Halophila and Zosteraceae represent two independent seagrass lineages separated by around 30 million years. Genes that were lost or conserved in both lineages were identified. All three species lost genes associated with ethylene and terpenoid biosynthesis, and retained genes related to salinity adaptation, such as those for osmoregulation. In contrast, the loss of the NADH dehydrogenase-like complex is unique to H. ovalis. Through comparison of two independent return-to-the-sea events, this study further describes marine adaptation characteristics common to seagrass families, identifies species-specific gene loss, and provides molecular evidence for convergent evolution in seagrass lineages.
Collapse
Affiliation(s)
- HueyTyng Lee
- School of Agriculture and Food Sciences, University of Queensland, Brisbane, QLD, Australia
- School of Biological Sciences, University of Western Australia, WA, Australia
| | - Agnieszka A Golicz
- Plant Molecular Biology and Biotechnology Laboratory, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, Melbourne, VIC, Australia
| | - Philipp E Bayer
- School of Biological Sciences, University of Western Australia, WA, Australia
| | | | | | - Jacqueline Batley
- School of Biological Sciences, University of Western Australia, WA, Australia
| | - Gary A Kendrick
- School of Biological Sciences, University of Western Australia, WA, Australia
| | - David Edwards
- School of Biological Sciences, University of Western Australia, WA, Australia
| |
Collapse
|
4
|
Yuan Y, Bayer PE, Scheben A, Chan CKK, Edwards D. BioNanoAnalyst: a visualisation tool to assess genome assembly quality using BioNano data. BMC Bioinformatics 2017; 18:323. [PMID: 28666410 PMCID: PMC5493081 DOI: 10.1186/s12859-017-1735-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Accepted: 06/20/2017] [Indexed: 12/14/2022] Open
Abstract
Background Reference genome assemblies are valuable, as they provide insights into gene content, genetic evolution and domestication. The higher the quality of a reference genome assembly the more accurate the downstream analysis will be. During the last few years, major efforts have been made towards improving the quality of genome assemblies. However, erroneous and incomplete assemblies are still common. Complementary to DNA sequencing technologies, optical mapping has advanced genomic studies by facilitating the production of genome scaffolds and assessing structural variation. However, there are few tools available to comprehensively examine misassemblies in reference genome sequences using optical map data. Results We present BioNanoAnalyst, a software package to examine genome assemblies based on restriction endonuclease cut sites and optical map data. A graphical user interface (GUI) allows users to assess reference genome sequences on different computer platforms without the requirement of programming knowledge. The zoom function makes visualisation convenient, while a GFF3 format output file gives an option to directly visualise questionable assembly regions by location and nucleotides following import into a local genome browser. Conclusions BioNanoAnalyst is a tool to identify misassemblies in a reference genome sequence using optical map data. With the reported information, users can rapidly identify assembly errors and correct them using other software tools, which could facilitate an accurate downstream analysis. Electronic supplementary material The online version of this article (doi:10.1186/s12859-017-1735-4) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Yuxuan Yuan
- School of Biological Sciences, the University of Western Australia, Perth, WA, Australia
| | - Philipp E Bayer
- School of Biological Sciences, the University of Western Australia, Perth, WA, Australia
| | - Armin Scheben
- School of Biological Sciences, the University of Western Australia, Perth, WA, Australia
| | - Chon-Kit Kenneth Chan
- School of Biological Sciences, the University of Western Australia, Perth, WA, Australia
| | - David Edwards
- School of Biological Sciences, the University of Western Australia, Perth, WA, Australia.
| |
Collapse
|
5
|
Montenegro JD, Golicz AA, Bayer PE, Hurgobin B, Lee H, Chan CKK, Visendi P, Lai K, Doležel J, Batley J, Edwards D. The pangenome of hexaploid bread wheat. Plant J 2017; 90:1007-1013. [PMID: 28231383 DOI: 10.1111/tpj.13515] [Citation(s) in RCA: 212] [Impact Index Per Article: 30.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Accepted: 02/06/2017] [Indexed: 05/19/2023]
Abstract
There is an increasing understanding that variation in gene presence-absence plays an important role in the heritability of agronomic traits; however, there have been relatively few studies on variation in gene presence-absence in crop species. Hexaploid wheat is one of the most important food crops in the world and intensive breeding has reduced the genetic diversity of elite cultivars. Major efforts have produced draft genome assemblies for the cultivar Chinese Spring, but it is unknown how well this represents the genome diversity found in current modern elite cultivars. In this study we build an improved reference for Chinese Spring and explore gene diversity across 18 wheat cultivars. We predict a pangenome size of 140 500 ± 102 genes, a core genome of 81 070 ± 1631 genes and an average of 128 656 genes in each cultivar. Functional annotation of the variable gene set suggests that it is enriched for genes that may be associated with important agronomic traits. In addition to variation in gene presence, more than 36 million intervarietal single nucleotide polymorphisms were identified across the pangenome. This study of the wheat pangenome provides insight into genome diversity in elite wheat as a basis for genomics-based improvement of this important crop. A wheat pangenome, GBrowse, is available at http://appliedbioinformatics.com.au/cgi-bin/gb2/gbrowse/WheatPan/, and data are available to download from http://wheatgenome.info/wheat_genome_databases.php.
Collapse
Affiliation(s)
- Juan D Montenegro
- School of Agriculture and Food Sciences, University of Queensland, Brisbane, Australia
| | - Agnieszka A Golicz
- School of Agriculture and Food Sciences, University of Queensland, Brisbane, Australia
- School of Plant Biology, University of Western Australia, Crawley, WA, 6009, Australia
| | - Philipp E Bayer
- School of Plant Biology, University of Western Australia, Crawley, WA, 6009, Australia
| | - Bhavna Hurgobin
- School of Agriculture and Food Sciences, University of Queensland, Brisbane, Australia
- School of Plant Biology, University of Western Australia, Crawley, WA, 6009, Australia
| | - HueyTyng Lee
- School of Agriculture and Food Sciences, University of Queensland, Brisbane, Australia
- School of Plant Biology, University of Western Australia, Crawley, WA, 6009, Australia
| | - Chon-Kit Kenneth Chan
- School of Plant Biology, University of Western Australia, Crawley, WA, 6009, Australia
| | - Paul Visendi
- School of Agriculture and Food Sciences, University of Queensland, Brisbane, Australia
| | | | - Jaroslav Doležel
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, CZ-783 71, Olomouc, Czech Republic
| | - Jacqueline Batley
- School of Agriculture and Food Sciences, University of Queensland, Brisbane, Australia
- School of Plant Biology, University of Western Australia, Crawley, WA, 6009, Australia
- Institute of Agriculture, University of Western Australia, Crawley, WA, 6009, Australia
| | - David Edwards
- School of Agriculture and Food Sciences, University of Queensland, Brisbane, Australia
- School of Plant Biology, University of Western Australia, Crawley, WA, 6009, Australia
- Institute of Agriculture, University of Western Australia, Crawley, WA, 6009, Australia
| |
Collapse
|
6
|
Lee H, Golicz AA, Bayer PE, Jiao Y, Tang H, Paterson AH, Sablok G, Krishnaraj RR, Chan CKK, Batley J, Kendrick GA, Larkum AWD, Ralph PJ, Edwards D. The Genome of a Southern Hemisphere Seagrass Species (Zostera muelleri). Plant Physiol 2016; 172:272-83. [PMID: 27373688 PMCID: PMC5074622 DOI: 10.1104/pp.16.00868] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Accepted: 06/28/2016] [Indexed: 05/19/2023]
Abstract
Seagrasses are marine angiosperms that evolved from land plants but returned to the sea around 140 million years ago during the early evolution of monocotyledonous plants. They successfully adapted to abiotic stresses associated with growth in the marine environment, and today, seagrasses are distributed in coastal waters worldwide. Seagrass meadows are an important oceanic carbon sink and provide food and breeding grounds for diverse marine species. Here, we report the assembly and characterization of the Zostera muelleri genome, a southern hemisphere temperate species. Multiple genes were lost or modified in Z. muelleri compared with terrestrial or floating aquatic plants that are associated with their adaptation to life in the ocean. These include genes for hormone biosynthesis and signaling and cell wall catabolism. There is evidence of whole-genome duplication in Z. muelleri; however, an ancient pan-commelinid duplication event is absent, highlighting the early divergence of this species from the main monocot lineages.
Collapse
Affiliation(s)
- HueyTyng Lee
- School of Agriculture and Food Sciences, University of Queensland, St Lucia, Queensland 4072, Australia (H.T.L., A.A.G., R.R.K., J.B., D.E.);School of Plant Biology, University of Western Australia, Crawley, Western Australia 6009, Australia (H.T.L., P.E.B., C.-K.K.C., J.B., G.A.K., D.E.);State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China (Y.J.);Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602 (Y.J., A.H.P.);Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, China (H.T.); andPlant Functional Biology and Climate Change Cluster, University of Technology Sydney, New South Wales 2007, Australia (G.S., A.W.D.L., P.J.R.)
| | - Agnieszka A Golicz
- School of Agriculture and Food Sciences, University of Queensland, St Lucia, Queensland 4072, Australia (H.T.L., A.A.G., R.R.K., J.B., D.E.);School of Plant Biology, University of Western Australia, Crawley, Western Australia 6009, Australia (H.T.L., P.E.B., C.-K.K.C., J.B., G.A.K., D.E.);State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China (Y.J.);Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602 (Y.J., A.H.P.);Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, China (H.T.); andPlant Functional Biology and Climate Change Cluster, University of Technology Sydney, New South Wales 2007, Australia (G.S., A.W.D.L., P.J.R.)
| | - Philipp E Bayer
- School of Agriculture and Food Sciences, University of Queensland, St Lucia, Queensland 4072, Australia (H.T.L., A.A.G., R.R.K., J.B., D.E.);School of Plant Biology, University of Western Australia, Crawley, Western Australia 6009, Australia (H.T.L., P.E.B., C.-K.K.C., J.B., G.A.K., D.E.);State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China (Y.J.);Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602 (Y.J., A.H.P.);Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, China (H.T.); andPlant Functional Biology and Climate Change Cluster, University of Technology Sydney, New South Wales 2007, Australia (G.S., A.W.D.L., P.J.R.)
| | - Yuannian Jiao
- School of Agriculture and Food Sciences, University of Queensland, St Lucia, Queensland 4072, Australia (H.T.L., A.A.G., R.R.K., J.B., D.E.);School of Plant Biology, University of Western Australia, Crawley, Western Australia 6009, Australia (H.T.L., P.E.B., C.-K.K.C., J.B., G.A.K., D.E.);State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China (Y.J.);Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602 (Y.J., A.H.P.);Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, China (H.T.); andPlant Functional Biology and Climate Change Cluster, University of Technology Sydney, New South Wales 2007, Australia (G.S., A.W.D.L., P.J.R.)
| | - Haibao Tang
- School of Agriculture and Food Sciences, University of Queensland, St Lucia, Queensland 4072, Australia (H.T.L., A.A.G., R.R.K., J.B., D.E.);School of Plant Biology, University of Western Australia, Crawley, Western Australia 6009, Australia (H.T.L., P.E.B., C.-K.K.C., J.B., G.A.K., D.E.);State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China (Y.J.);Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602 (Y.J., A.H.P.);Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, China (H.T.); andPlant Functional Biology and Climate Change Cluster, University of Technology Sydney, New South Wales 2007, Australia (G.S., A.W.D.L., P.J.R.)
| | - Andrew H Paterson
- School of Agriculture and Food Sciences, University of Queensland, St Lucia, Queensland 4072, Australia (H.T.L., A.A.G., R.R.K., J.B., D.E.);School of Plant Biology, University of Western Australia, Crawley, Western Australia 6009, Australia (H.T.L., P.E.B., C.-K.K.C., J.B., G.A.K., D.E.);State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China (Y.J.);Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602 (Y.J., A.H.P.);Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, China (H.T.); andPlant Functional Biology and Climate Change Cluster, University of Technology Sydney, New South Wales 2007, Australia (G.S., A.W.D.L., P.J.R.)
| | - Gaurav Sablok
- School of Agriculture and Food Sciences, University of Queensland, St Lucia, Queensland 4072, Australia (H.T.L., A.A.G., R.R.K., J.B., D.E.);School of Plant Biology, University of Western Australia, Crawley, Western Australia 6009, Australia (H.T.L., P.E.B., C.-K.K.C., J.B., G.A.K., D.E.);State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China (Y.J.);Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602 (Y.J., A.H.P.);Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, China (H.T.); andPlant Functional Biology and Climate Change Cluster, University of Technology Sydney, New South Wales 2007, Australia (G.S., A.W.D.L., P.J.R.)
| | - Rahul R Krishnaraj
- School of Agriculture and Food Sciences, University of Queensland, St Lucia, Queensland 4072, Australia (H.T.L., A.A.G., R.R.K., J.B., D.E.);School of Plant Biology, University of Western Australia, Crawley, Western Australia 6009, Australia (H.T.L., P.E.B., C.-K.K.C., J.B., G.A.K., D.E.);State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China (Y.J.);Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602 (Y.J., A.H.P.);Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, China (H.T.); andPlant Functional Biology and Climate Change Cluster, University of Technology Sydney, New South Wales 2007, Australia (G.S., A.W.D.L., P.J.R.)
| | - Chon-Kit Kenneth Chan
- School of Agriculture and Food Sciences, University of Queensland, St Lucia, Queensland 4072, Australia (H.T.L., A.A.G., R.R.K., J.B., D.E.);School of Plant Biology, University of Western Australia, Crawley, Western Australia 6009, Australia (H.T.L., P.E.B., C.-K.K.C., J.B., G.A.K., D.E.);State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China (Y.J.);Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602 (Y.J., A.H.P.);Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, China (H.T.); andPlant Functional Biology and Climate Change Cluster, University of Technology Sydney, New South Wales 2007, Australia (G.S., A.W.D.L., P.J.R.)
| | - Jacqueline Batley
- School of Agriculture and Food Sciences, University of Queensland, St Lucia, Queensland 4072, Australia (H.T.L., A.A.G., R.R.K., J.B., D.E.);School of Plant Biology, University of Western Australia, Crawley, Western Australia 6009, Australia (H.T.L., P.E.B., C.-K.K.C., J.B., G.A.K., D.E.);State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China (Y.J.);Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602 (Y.J., A.H.P.);Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, China (H.T.); andPlant Functional Biology and Climate Change Cluster, University of Technology Sydney, New South Wales 2007, Australia (G.S., A.W.D.L., P.J.R.)
| | - Gary A Kendrick
- School of Agriculture and Food Sciences, University of Queensland, St Lucia, Queensland 4072, Australia (H.T.L., A.A.G., R.R.K., J.B., D.E.);School of Plant Biology, University of Western Australia, Crawley, Western Australia 6009, Australia (H.T.L., P.E.B., C.-K.K.C., J.B., G.A.K., D.E.);State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China (Y.J.);Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602 (Y.J., A.H.P.);Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, China (H.T.); andPlant Functional Biology and Climate Change Cluster, University of Technology Sydney, New South Wales 2007, Australia (G.S., A.W.D.L., P.J.R.)
| | - Anthony W D Larkum
- School of Agriculture and Food Sciences, University of Queensland, St Lucia, Queensland 4072, Australia (H.T.L., A.A.G., R.R.K., J.B., D.E.);School of Plant Biology, University of Western Australia, Crawley, Western Australia 6009, Australia (H.T.L., P.E.B., C.-K.K.C., J.B., G.A.K., D.E.);State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China (Y.J.);Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602 (Y.J., A.H.P.);Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, China (H.T.); andPlant Functional Biology and Climate Change Cluster, University of Technology Sydney, New South Wales 2007, Australia (G.S., A.W.D.L., P.J.R.)
| | - Peter J Ralph
- School of Agriculture and Food Sciences, University of Queensland, St Lucia, Queensland 4072, Australia (H.T.L., A.A.G., R.R.K., J.B., D.E.);School of Plant Biology, University of Western Australia, Crawley, Western Australia 6009, Australia (H.T.L., P.E.B., C.-K.K.C., J.B., G.A.K., D.E.);State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China (Y.J.);Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602 (Y.J., A.H.P.);Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, China (H.T.); andPlant Functional Biology and Climate Change Cluster, University of Technology Sydney, New South Wales 2007, Australia (G.S., A.W.D.L., P.J.R.)
| | - David Edwards
- School of Agriculture and Food Sciences, University of Queensland, St Lucia, Queensland 4072, Australia (H.T.L., A.A.G., R.R.K., J.B., D.E.);School of Plant Biology, University of Western Australia, Crawley, Western Australia 6009, Australia (H.T.L., P.E.B., C.-K.K.C., J.B., G.A.K., D.E.);State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China (Y.J.);Plant Genome Mapping Laboratory, University of Georgia, Athens, Georgia 30602 (Y.J., A.H.P.);Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, China (H.T.); andPlant Functional Biology and Climate Change Cluster, University of Technology Sydney, New South Wales 2007, Australia (G.S., A.W.D.L., P.J.R.)
| |
Collapse
|
7
|
Visendi P, Berkman PJ, Hayashi S, Golicz AA, Bayer PE, Ruperao P, Hurgobin B, Montenegro J, Chan CKK, Staňková H, Batley J, Šimková H, Doležel J, Edwards D. An efficient approach to BAC based assembly of complex genomes. Plant Methods 2016; 12:2. [PMID: 26793268 PMCID: PMC4719536 DOI: 10.1186/s13007-016-0107-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Accepted: 01/08/2016] [Indexed: 05/27/2023]
Abstract
BACKGROUND There has been an exponential growth in the number of genome sequencing projects since the introduction of next generation DNA sequencing technologies. Genome projects have increasingly involved assembly of whole genome data which produces inferior assemblies compared to traditional Sanger sequencing of genomic fragments cloned into bacterial artificial chromosomes (BACs). While whole genome shotgun sequencing using next generation sequencing (NGS) is relatively fast and inexpensive, this method is extremely challenging for highly complex genomes, where polyploidy or high repeat content confounds accurate assembly, or where a highly accurate 'gold' reference is required. Several attempts have been made to improve genome sequencing approaches by incorporating NGS methods, to variable success. RESULTS We present the application of a novel BAC sequencing approach which combines indexed pools of BACs, Illumina paired read sequencing, a sequence assembler specifically designed for complex BAC assembly, and a custom bioinformatics pipeline. We demonstrate this method by sequencing and assembling BAC cloned fragments from bread wheat and sugarcane genomes. CONCLUSIONS We demonstrate that our assembly approach is accurate, robust, cost effective and scalable, with applications for complete genome sequencing in large and complex genomes.
Collapse
Affiliation(s)
- Paul Visendi
- />School of Agriculture and Food Science, University of Queensland, Brisbane, QLD 4072 Australia
- />Centre for Biotechnology and Bioinformatics, College of Biological and Physical Sciences, University of Nairobi, P. O. Box 30197, Nairobi, 00100 Kenya
| | | | - Satomi Hayashi
- />School of Agriculture and Food Science, University of Queensland, Brisbane, QLD 4072 Australia
| | - Agnieszka A. Golicz
- />School of Agriculture and Food Science, University of Queensland, Brisbane, QLD 4072 Australia
| | - Philipp E. Bayer
- />School of Agriculture and Food Science, University of Queensland, Brisbane, QLD 4072 Australia
- />School of Plant Biology, University of Western Australia, Perth, WA 6009 Australia
| | - Pradeep Ruperao
- />School of Agriculture and Food Science, University of Queensland, Brisbane, QLD 4072 Australia
- />School of Plant Biology, University of Western Australia, Perth, WA 6009 Australia
| | - Bhavna Hurgobin
- />School of Agriculture and Food Science, University of Queensland, Brisbane, QLD 4072 Australia
- />School of Plant Biology, University of Western Australia, Perth, WA 6009 Australia
| | - Juan Montenegro
- />School of Agriculture and Food Science, University of Queensland, Brisbane, QLD 4072 Australia
| | - Chon-Kit Kenneth Chan
- />School of Agriculture and Food Science, University of Queensland, Brisbane, QLD 4072 Australia
- />School of Plant Biology, University of Western Australia, Perth, WA 6009 Australia
| | - Helena Staňková
- />Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, 78371 Olomouc, Czech Republic
| | - Jacqueline Batley
- />School of Agriculture and Food Science, University of Queensland, Brisbane, QLD 4072 Australia
- />School of Plant Biology, University of Western Australia, Perth, WA 6009 Australia
| | - Hana Šimková
- />Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, 78371 Olomouc, Czech Republic
| | - Jaroslav Doležel
- />Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Šlechtitelů 31, 78371 Olomouc, Czech Republic
| | - David Edwards
- />School of Agriculture and Food Science, University of Queensland, Brisbane, QLD 4072 Australia
- />School of Plant Biology, University of Western Australia, Perth, WA 6009 Australia
| |
Collapse
|
8
|
Abstract
The recent advances in high throughput RNA sequencing (RNA-Seq) have generated huge amounts of data in a very short span of time for a single sample. These data have required the parallel advancement of computing tools to organize and interpret them meaningfully in terms of biological implications, at the same time using minimum computing resources to reduce computation costs. Here we describe the method of analyzing RNA-seq data using the set of open source software programs of the Tuxedo suite: TopHat and Cufflinks. TopHat is designed to align RNA-seq reads to a reference genome, while Cufflinks assembles these mapped reads into possible transcripts and then generates a final transcriptome assembly. Cufflinks also includes Cuffdiff, which accepts the reads assembled from two or more biological conditions and analyzes their differential expression of genes and transcripts, thus aiding in the investigation of their transcriptional and post transcriptional regulation under different conditions. We also describe the use of an accessory tool called CummeRbund, which processes the output files of Cuffdiff and gives an output of publication quality plots and figures of the user's choice. We demonstrate the effectiveness of the Tuxedo suite by analyzing RNA-Seq datasets of Arabidopsis thaliana root subjected to two different conditions.
Collapse
Affiliation(s)
- Sreya Ghosh
- Department of Biotechnology, National Institute of Technology, Mahatma Gandhi Road, A-Zone, Durgapur, 713209, West Bengal, India.
| | - Chon-Kit Kenneth Chan
- School of Plant Biology, University of Western Australia, Crawley, Perth, WA, Australia
| |
Collapse
|
9
|
Bayer PE, Ruperao P, Mason AS, Stiller J, Chan CKK, Hayashi S, Long Y, Meng J, Sutton T, Visendi P, Varshney RK, Batley J, Edwards D. High-resolution skim genotyping by sequencing reveals the distribution of crossovers and gene conversions in Cicer arietinum and Brassica napus. Theor Appl Genet 2015; 128:1039-47. [PMID: 25754422 DOI: 10.1007/s00122-015-2488-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2014] [Accepted: 02/24/2015] [Indexed: 05/03/2023]
Abstract
We characterise the distribution of crossover and non-crossover recombination in Brassica napus and Cicer arietinum using a low-coverage genotyping by sequencing pipeline SkimGBS. The growth of next-generation DNA sequencing technologies has led to a rapid increase in sequence-based genotyping for applications including diversity assessment, genome structure validation and gene-trait association. We have established a skim-based genotyping by sequencing method for crop plants and applied this approach to genotype-segregating populations of Brassica napus and Cicer arietinum. Comparison of progeny genotypes with those of the parental individuals allowed the identification of crossover and non-crossover (gene conversion) events. Our results identify the positions of recombination events with high resolution, permitting the mapping and frequency assessment of recombination in segregating populations.
Collapse
Affiliation(s)
- Philipp E Bayer
- School of Agriculture and Food Sciences, University of Queensland, Brisbane, 4072, Australia
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
10
|
Rosic N, Ling EYS, Chan CKK, Lee HC, Kaniewska P, Edwards D, Dove S, Hoegh-Guldberg O. Unfolding the secrets of coral-algal symbiosis. ISME J 2015; 9:844-56. [PMID: 25343511 DOI: 10.1038/ismej.2014.182] [Citation(s) in RCA: 68] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2014] [Revised: 08/05/2014] [Accepted: 08/25/2014] [Indexed: 11/09/2022]
Abstract
Dinoflagellates from the genus Symbiodinium form a mutualistic symbiotic relationship with reef-building corals. Here we applied massively parallel Illumina sequencing to assess genetic similarity and diversity among four phylogenetically diverse dinoflagellate clades (A, B, C and D) that are commonly associated with corals. We obtained more than 30,000 predicted genes for each Symbiodinium clade, with a majority of the aligned transcripts corresponding to sequence data sets of symbiotic dinoflagellates and <2% of sequences having bacterial or other foreign origin. We report 1053 genes, orthologous among four Symbiodinium clades, that share a high level of sequence identity to known proteins from the SwissProt (SP) database. Approximately 80% of the transcripts aligning to the 1053 SP genes were unique to Symbiodinium species and did not align to other dinoflagellates and unrelated eukaryotic transcriptomes/genomes. Six pathways were common to all four Symbiodinium clades including the phosphatidylinositol signaling system and inositol phosphate metabolism pathways. The list of Symbiodinium transcripts common to all four clades included conserved genes such as heat shock proteins (Hsp70 and Hsp90), calmodulin, actin and tubulin, several ribosomal, photosynthetic and cytochrome genes and chloroplast-based heme-containing cytochrome P450, involved in the biosynthesis of xanthophylls. Antioxidant genes, which are important in stress responses, were also preserved, as were a number of calcium-dependent and calcium/calmodulin-dependent protein kinases that may play a role in the establishment of symbiosis. Our findings disclose new knowledge about the genetic uniqueness of symbiotic dinoflagellates and provide a list of homologous genes important for the foundation of coral-algal symbiosis.
Collapse
Affiliation(s)
- Nedeljka Rosic
- School of Biological Sciences, The University of Queensland, St Lucia, Queensland, Australia
| | - Edmund Yew Siang Ling
- University of Queensland Centre for Clinical Research, The University of Queensland, Herston, Queensland, Australia
| | - Chon-Kit Kenneth Chan
- School of Agriculture and Food Sciences, The University of Queensland, St Lucia, Queensland, Australia
| | - Hong Ching Lee
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Paulina Kaniewska
- 1] School of Biological Sciences, The University of Queensland, St Lucia, Queensland, Australia [2] Australian Institute of Marine Science, Townsville, Queensland, Australia
| | - David Edwards
- 1] School of Agriculture and Food Sciences, The University of Queensland, St Lucia, Queensland, Australia [2] School of Plant Biology, University of Western Australia, Perth, Western Australia, Australia [3] Australian Centre for Plant Functional Genomics, The University of Queensland, St Lucia, Queensland, Australia
| | - Sophie Dove
- 1] School of Biological Sciences, The University of Queensland, St Lucia, Queensland, Australia [2] ARC Centre of Excellence for Coral Reef Studies, The University of Queensland, St Lucia, Queensland, Australia
| | - Ove Hoegh-Guldberg
- 1] School of Biological Sciences, The University of Queensland, St Lucia, Queensland, Australia [2] ARC Centre of Excellence for Coral Reef Studies, The University of Queensland, St Lucia, Queensland, Australia [3] Global Change Institute and ARC Centre of Excellence for Coral Reef Studies, The University of Queensland, St Lucia, Queensland, Australia
| |
Collapse
|
11
|
Golicz AA, Schliep M, Lee HT, Larkum AWD, Dolferus R, Batley J, Chan CKK, Sablok G, Ralph PJ, Edwards D. Genome-wide survey of the seagrass Zostera muelleri suggests modification of the ethylene signalling network. J Exp Bot 2015; 66:1489-98. [PMID: 25563969 PMCID: PMC4339605 DOI: 10.1093/jxb/eru510] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Seagrasses are flowering plants which grow fully submerged in the marine environment. They have evolved a range of adaptations to environmental challenges including light attenuation through water, the physical stress of wave action and tidal currents, high concentrations of salt, oxygen deficiency in marine sediment, and water-borne pollination. Although, seagrasses are a key stone species of the costal ecosystems, many questions regarding seagrass biology and evolution remain unanswered. Genome sequence data for the widespread Australian seagrass species Zostera muelleri were generated and the unassembled data were compared with the annotated genes of five sequenced plant species (Arabidopsis thaliana, Oryza sativa, Phoenix dactylifera, Musa acuminata, and Spirodela polyrhiza). Genes which are conserved between Z. muelleri and the five plant species were identified, together with genes that have been lost in Z. muelleri. The effect of gene loss on biological processes was assessed on the gene ontology classification level. Gene loss in Z. muelleri appears to influence some core biological processes such as ethylene biosynthesis. This study provides a foundation for further studies of seagrass evolution as well as the hormonal regulation of plant growth and development.
Collapse
Affiliation(s)
- Agnieszka A Golicz
- School of Agriculture and Food Sciences, University of Queensland, Brisbane, QLD 4072, Australia Australian Centre for Plant Functional Genomics, School of Land, Crop and Food Sciences, University of Queensland, Brisbane, QLD 4067, Australia
| | - Martin Schliep
- Plant Functional Biology and Climate Change Cluster, University of Technology Sydney, Ultimo, NSW 2007, Australia
| | - Huey Tyng Lee
- School of Agriculture and Food Sciences, University of Queensland, Brisbane, QLD 4072, Australia Australian Centre for Plant Functional Genomics, School of Land, Crop and Food Sciences, University of Queensland, Brisbane, QLD 4067, Australia
| | - Anthony W D Larkum
- Plant Functional Biology and Climate Change Cluster, University of Technology Sydney, Ultimo, NSW 2007, Australia
| | - Rudy Dolferus
- CSIRO Agriculture Flagship, GPO Box 1600, Canberra ACT 2601, Australia
| | - Jacqueline Batley
- School of Agriculture and Food Sciences, University of Queensland, Brisbane, QLD 4072, Australia School of Plant Biology, University of Western Australia, WA, 6009, Australia
| | - Chon-Kit Kenneth Chan
- School of Agriculture and Food Sciences, University of Queensland, Brisbane, QLD 4072, Australia School of Plant Biology, University of Western Australia, WA, 6009, Australia
| | - Gaurav Sablok
- Plant Functional Biology and Climate Change Cluster, University of Technology Sydney, Ultimo, NSW 2007, Australia
| | - Peter J Ralph
- Plant Functional Biology and Climate Change Cluster, University of Technology Sydney, Ultimo, NSW 2007, Australia
| | - David Edwards
- School of Agriculture and Food Sciences, University of Queensland, Brisbane, QLD 4072, Australia Australian Centre for Plant Functional Genomics, School of Land, Crop and Food Sciences, University of Queensland, Brisbane, QLD 4067, Australia School of Plant Biology, University of Western Australia, WA, 6009, Australia
| |
Collapse
|
12
|
Lai K, Lorenc MT, Lee HC, Berkman PJ, Bayer PE, Visendi P, Ruperao P, Fitzgerald TL, Zander M, Chan CKK, Manoli S, Stiller J, Batley J, Edwards D. Identification and characterization of more than 4 million intervarietal SNPs across the group 7 chromosomes of bread wheat. Plant Biotechnol J 2015; 13:97-104. [PMID: 25147022 DOI: 10.1111/pbi.12240] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2014] [Revised: 07/07/2014] [Accepted: 07/13/2014] [Indexed: 05/19/2023]
Abstract
Despite being a major international crop, our understanding of the wheat genome is relatively poor due to its large size and complexity. To gain a greater understanding of wheat genome diversity, we have identified single nucleotide polymorphisms between 16 Australian bread wheat varieties. Whole-genome shotgun Illumina paired read sequence data were mapped to the draft assemblies of chromosomes 7A, 7B and 7D to identify more than 4 million intervarietal SNPs. SNP density varied between the three genomes, with much greater density observed on the A and B genomes than the D genome. This variation may be a result of substantial gene flow from the tetraploid Triticum turgidum, which possesses A and B genomes, during early co-cultivation of tetraploid and hexaploid wheat. In addition, we examined SNP density variation along the chromosome syntenic builds and identified genes in low-density regions which may have been selected during domestication and breeding. This study highlights the impact of evolution and breeding on the bread wheat genome and provides a substantial resource for trait association and crop improvement. All SNP data are publically available on a generic genome browser GBrowse at www.wheatgenome.info.
Collapse
Affiliation(s)
- Kaitao Lai
- School of Agriculture and Food Sciences, University of Queensland, Brisbane, Qld, Australia; Australian Centre for Plant Functional Genomics, University of Queensland, Brisbane, Qld, Australia
| | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
13
|
Rosic N, Kaniewska P, Chan CKK, Ling EYS, Edwards D, Dove S, Hoegh-Guldberg O. Early transcriptional changes in the reef-building coral Acropora aspera in response to thermal and nutrient stress. BMC Genomics 2014; 15:1052. [PMID: 25467196 PMCID: PMC4301396 DOI: 10.1186/1471-2164-15-1052] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2014] [Accepted: 11/12/2014] [Indexed: 11/10/2022] Open
Abstract
Background Changes to the environment as a result of human activities can result in a range of impacts on reef building corals that include coral bleaching (reduced concentrations of algal symbionts), decreased coral growth and calcification, and increased incidence of diseases and mortality. Understanding how elevated temperatures and nutrient concentration affect early transcriptional changes in corals and their algal endosymbionts is critically important for evaluating the responses of coral reefs to global changes happening in the environment. Here, we investigated the expression of genes in colonies of the reef-building coral Acropora aspera exposed to short-term sub-lethal levels of thermal (+6°C) and nutrient stress (ammonium-enrichment: 20 μM). Results The RNA-Seq data provided hundreds of differentially expressed genes (DEGs) corresponding to various stress regimes, with 115 up- and 78 down-regulated genes common to all stress regimes. A list of DEGs included up-regulated coral genes like cytochrome c oxidase and NADH-ubiquinone oxidoreductase and up-regulated photosynthetic genes of algal origin, whereas coral GFP-like fluorescent chromoprotein and sodium/potassium-transporting ATPase showed reduced transcript levels. Taxonomic analyses of the coral holobiont disclosed the dominant presence of transcripts from coral (~70%) and Symbiodinium (~10-12%), as well as ~15-20% of unknown sequences which lacked sequence identity to known genes. Gene ontology analyses revealed enriched pathways, which led to changes in the dynamics of protein networks affecting growth, cellular processes, and energy requirement. Conclusions In corals with preserved symbiont physiological performance (based on Fv/Fm, photo-pigment and symbiont density), transcriptomic changes and DEGs provided important insight into early stages of the stress response in the coral holobiont. Although there were no signs of coral bleaching after exposure to short-term thermal and nutrient stress conditions, we managed to detect oxidative stress and apoptotic changes on a molecular level and provide a list of prospective stress biomarkers for both partners in symbiosis. Consequently, our findings are important for understanding and anticipating impacts of anthropogenic global climate change on coral reefs. Electronic supplementary material The online version of this article (doi:10.1186/1471-2164-15-1052) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Nedeljka Rosic
- School of Biological Sciences, The University of Queensland, Brisbane Qld 4072, Australia.
| | | | | | | | | | | | | |
Collapse
|
14
|
Ruperao P, Chan CKK, Azam S, Karafiátová M, Hayashi S, Cížková J, Saxena RK, Simková H, Song C, Vrána J, Chitikineni A, Visendi P, Gaur PM, Millán T, Singh KB, Taran B, Wang J, Batley J, Doležel J, Varshney RK, Edwards D. A chromosomal genomics approach to assess and validate the desi and kabuli draft chickpea genome assemblies. Plant Biotechnol J 2014; 12:778-86. [PMID: 24702794 DOI: 10.1111/pbi.12182] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2013] [Revised: 01/21/2014] [Accepted: 02/09/2014] [Indexed: 05/09/2023]
Abstract
With the expansion of next-generation sequencing technology and advanced bioinformatics, there has been a rapid growth of genome sequencing projects. However, while this technology enables the rapid and cost-effective assembly of draft genomes, the quality of these assemblies usually falls short of gold standard genome assemblies produced using the more traditional BAC by BAC and Sanger sequencing approaches. Assembly validation is often performed by the physical anchoring of genetically mapped markers, but this is prone to errors and the resolution is usually low, especially towards centromeric regions where recombination is limited. New approaches are required to validate reference genome assemblies. The ability to isolate individual chromosomes combined with next-generation sequencing permits the validation of genome assemblies at the chromosome level. We demonstrate this approach by the assessment of the recently published chickpea kabuli and desi genomes. While previous genetic analysis suggests that these genomes should be very similar, a comparison of their chromosome sizes and published assemblies highlights significant differences. Our chromosomal genomics analysis highlights short defined regions that appear to have been misassembled in the kabuli genome and identifies large-scale misassembly in the draft desi genome. The integration of chromosomal genomics tools within genome sequencing projects has the potential to significantly improve the construction and validation of genome assemblies. The approach could be applied both for new genome assemblies as well as published assemblies, and complements currently applied genome assembly strategies.
Collapse
Affiliation(s)
- Pradeep Ruperao
- University of Queensland, St. Lucia, Queensland, Australia; Australian Centre for Plant Functional Genomics, University of Queensland, St. Lucia, Queensland, Australia; International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Andhra Pradesh, India
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
15
|
Chan CKK, Hsu AL, Halgamuge SK, Tang SL. Binning sequences using very sparse labels within a metagenome. BMC Bioinformatics 2008; 9:215. [PMID: 18442374 PMCID: PMC2383919 DOI: 10.1186/1471-2105-9-215] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2007] [Accepted: 04/28/2008] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND In metagenomic studies, a process called binning is necessary to assign contigs that belong to multiple species to their respective phylogenetic groups. Most of the current methods of binning, such as BLAST, k-mer and PhyloPythia, involve assigning sequence fragments by comparing sequence similarity or sequence composition with already-sequenced genomes that are still far from comprehensive. We propose a semi-supervised seeding method for binning that does not depend on knowledge of completed genomes. Instead, it extracts the flanking sequences of highly conserved 16S rRNA from the metagenome and uses them as seeds (labels) to assign other reads based on their compositional similarity. RESULTS The proposed seeding method is implemented on an unsupervised Growing Self-Organising Map (GSOM), and called Seeded GSOM (S-GSOM). We compared it with four well-known semi-supervised learning methods in a preliminary test, separating random-length prokaryotic sequence fragments sampled from the NCBI genome database. We identified the flanking sequences of the highly conserved 16S rRNA as suitable seeds that could be used to group the sequence fragments according to their species. S-GSOM showed superior performance compared to the semi-supervised methods tested. Additionally, S-GSOM may also be used to visually identify some species that do not have seeds. The proposed method was then applied to simulated metagenomic datasets using two different confidence threshold settings and compared with PhyloPythia, k-mer and BLAST. At the reference taxonomic level Order, S-GSOM outperformed all k-mer and BLAST results and showed comparable results with PhyloPythia for each of the corresponding confidence settings, where S-GSOM performed better than PhyloPythia in the >/= 10 reads datasets and comparable in the > or = 8 kb benchmark tests. CONCLUSION In the task of binning using semi-supervised learning methods, results indicate S-GSOM to be the best of the methods tested. Most importantly, the proposed method does not require knowledge from known genomes and uses only very few labels (one per species is sufficient in most cases), which are extracted from the metagenome itself. These advantages make it a very attractive binning method. S-GSOM outperformed the binning methods that depend on already-sequenced genomes, and compares well to the current most advanced binning method, PhyloPythia.
Collapse
|