Dr Elizabeth Ross
Dr

Elizabeth Ross

Email: 
Phone: 
+61 7 334 62162

Availability

Dr Elizabeth Ross is:
Not available for supervision

Fields of research

Agricultural biotechnology Agricultural biotechnology diagnostics (incl. biosensors) Agricultural, Veterinary and Food Sciences Animal production Animal reproduction and breeding Applied mathematics Bioinformatic methods development Bioinformatics and computational biology Bioinformatics and computational biology not elsewhere classified Biological Sciences Biological mathematics Biological network analysis Biostatistics Computational ecology and phylogenetics Environmental studies in animal production Epigenetics (incl. genome methylation and epigenomics) Gene expression (incl. microarray and other genome-wide approaches) Genetics Genome structure and regulation Genomics Genomics and transcriptomics Mathematical Sciences Microbial ecology Microbial genetics Microbiology Non-genetically modified uses of biotechnology Proteomics and metabolomics Sequence analysis Statistical and quantitative genetics Statistics Translational and applied bioinformatics

Qualifications

  • Doctor of Philosophy, La Trobe University

Research interests

  • Metagenomics and the Microbiome

    Since my PhD I have been interested in the microbiome and it's links to host variation. Using it in a predictive way to help agriculture become more environmentally friendly while increasing our ability to feed the world means that we can have our beef, and eat it too.

  • The mammalian genome and its genes

    New technology is allowing us to look at things that were invisible just a few years before. Applying new technology to understand similarities and differences between individual genomes allows us to look at aspects of the genome and its genes at a scale never before possible.

Search Professor Elizabeth Ross’s works on UQ eSpace

63 works between 1985 and 2024
All (63) Journal Article (43) Conference Publication (19) Other Outputs (1)

1 - 20 of 63 works

2024

Journal Article

Expression network analysis of bovine skin infested with Rhipicephalus australis identifies pro-inflammatory genes contributing to tick susceptibility

Mantilla Valdivieso, Emily F., Ross, Elizabeth M., Raza, Ali, Nguyen, Loan, Hayes, Ben J., Jonsson, Nicholas N., James, Peter and Tabor, Ala E. (2024). Expression network analysis of bovine skin infested with Rhipicephalus australis identifies pro-inflammatory genes contributing to tick susceptibility. Scientific Reports, 14 (1) 4419, 1-14. doi: 10.1038/s41598-024-54577-w

Expression network analysis of bovine skin infested with Rhipicephalus australis identifies pro-inflammatory genes contributing to tick susceptibility

2024

Journal Article

Chromosome-Scale Genome Assembly of the Sheep-Biting Louse Bovicola ovis Using Nanopore Sequencing Data and Pore-C Analysis

Ong, Chian Teng, Mody, Karishma T., Cavallaro, Antonino S., Yan, Yakun, Nguyen, Loan T., Shao, Renfu, Mitter, Neena, Mahony, Timothy J. and Ross, Elizabeth M. (2024). Chromosome-Scale Genome Assembly of the Sheep-Biting Louse Bovicola ovis Using Nanopore Sequencing Data and Pore-C Analysis. International Journal of Molecular Sciences, 25 (14) 7824, 7824. doi: 10.3390/ijms25147824

Chromosome-Scale Genome Assembly of the Sheep-Biting Louse Bovicola ovis Using Nanopore Sequencing Data and Pore-C Analysis

2024

Conference Publication

Measuring HSP in tail hair as an alternative method to assess heat stress in cattle

McCosker, Kieren, Cavallaro, Tony, Lees, Angela, Sammes, Stephanie, McGowan, Michael, Gaughan, John and Ross, Elizabeth (2024). Measuring HSP in tail hair as an alternative method to assess heat stress in cattle. 35th Biennial Conference of the Australian Association of Animal Sciences and the 20th Asian - Australasian Association of Animal Production Societies, Melbourne, VIC, Australia, 8-12 July 2024. Toowong, QLD, Australia: Australian Society of Animal Production.

Measuring HSP in tail hair as an alternative method to assess heat stress in cattle

2024

Journal Article

Genome-wide association and expression quantitative trait loci in cattle reveals common genes regulating mammalian fertility

Forutan, Mehrnush, Engle, Bailey N., Chamberlain, Amanda J., Ross, Elizabeth M., Nguyen, Loan T., D’Occhio, Michael J., Snr, Alf Collins, Kho, Elise A., Fordyce, Geoffry, Speight, Shannon, Goddard, Michael E. and Hayes, Ben J. (2024). Genome-wide association and expression quantitative trait loci in cattle reveals common genes regulating mammalian fertility. Communications Biology, 7 (1) 724, 724. doi: 10.1038/s42003-024-06403-2

Genome-wide association and expression quantitative trait loci in cattle reveals common genes regulating mammalian fertility

2024

Journal Article

Genomic prediction for sugarcane diseases including hybrid Bayesian-machine learning approaches

Chen, Chensong, Bhuiyan, Shamsul A., Ross, Elizabeth, Powell, Owen, Dinglasan, Eric, Wei, Xianming, Atkin, Felicity, Deomano, Emily and Hayes, Ben (2024). Genomic prediction for sugarcane diseases including hybrid Bayesian-machine learning approaches. Frontiers in Plant Science, 15 1398903. doi: 10.3389/fpls.2024.1398903

Genomic prediction for sugarcane diseases including hybrid Bayesian-machine learning approaches

2023

Journal Article

Use of continuous genotypes for genomic prediction in sugarcane

Yadav, Seema, Ross, Elizabeth M., Wei, Xianming, Liu, Shouye, Nguyen, Loan To, Powell, Owen, Hickey, Lee T., Deomano, Emily, Atkin, Felicity, Voss‐Fels, Kai P. and Hayes, Ben J. (2023). Use of continuous genotypes for genomic prediction in sugarcane. The Plant Genome, 17 (1) e20417, e20417. doi: 10.1002/tpg2.20417

Use of continuous genotypes for genomic prediction in sugarcane

2023

Journal Article

Imputation strategies for genomic prediction using nanopore sequencing

Lamb, H. J., Nguyen, L. T., Copley, J. P., Engle, B. N., Hayes, B. J. and Ross, E. M. (2023). Imputation strategies for genomic prediction using nanopore sequencing. BMC Biology, 21 (1) 286, 1-18. doi: 10.1186/s12915-023-01782-0

Imputation strategies for genomic prediction using nanopore sequencing

2023

Journal Article

Optimising clonal performance in sugarcane: leveraging non-additive effects via mate-allocation strategies

Yadav, Seema, Ross, Elizabeth M., Wei, Xianming, Powell, Owen, Hivert, Valentin, Hickey, Lee T., Atkin, Felicity, Deomano, Emily, Aitken, Karen S., Voss-Fels, Kai P. and Hayes, Ben J. (2023). Optimising clonal performance in sugarcane: leveraging non-additive effects via mate-allocation strategies. Frontiers in Plant Science, 14 1260517, 1260517. doi: 10.3389/fpls.2023.1260517

Optimising clonal performance in sugarcane: leveraging non-additive effects via mate-allocation strategies

2023

Journal Article

Multi-breed genomic evaluation for tropical beef cattle when no pedigree information is available

Hayes, Ben J., Copley, James, Dodd, Elsie, Ross, Elizabeth M., Speight, Shannon and Fordyce, Geoffry (2023). Multi-breed genomic evaluation for tropical beef cattle when no pedigree information is available. Genetics Selection Evolution, 55 (1) 71, 1-13. doi: 10.1186/s12711-023-00847-6

Multi-breed genomic evaluation for tropical beef cattle when no pedigree information is available

2023

Journal Article

Genomic prediction with machine learning in sugarcane, a complex highly polyploid clonally propagated crop with substantial non‐additive variation for key traits

Chen, Chensong, Powell, Owen, Dinglasan, Eric, Ross, Elizabeth M., Yadav, Seema, Wei, Xianming, Atkin, Felicity, Deomano, Emily and Hayes, Ben J. (2023). Genomic prediction with machine learning in sugarcane, a complex highly polyploid clonally propagated crop with substantial non‐additive variation for key traits. The Plant Genome, 16 (4) e20390, 1-13. doi: 10.1002/tpg2.20390

Genomic prediction with machine learning in sugarcane, a complex highly polyploid clonally propagated crop with substantial non‐additive variation for key traits

2023

Conference Publication

Are production measures a good indication of pregnancy success?

McCosker, Kieren, Boulton, Alana, Dekkers, Milou, Ross, Elizabeth, Hudson, Nick and Fortes, Marina (2023). Are production measures a good indication of pregnancy success?. North Australian Beef Research Update Conference, Darwin, NT Australia, 22-25 August 2023.

Are production measures a good indication of pregnancy success?

2023

Journal Article

Skim-Nanopore sequencing for routine genomic evaluation and bacterial pathogen detection in cattle

Lamb, H. J., Nguyen, L. T., Briody, T. E., Ambrose, R. K., Hayes, B. J., Mahony, T. J. and Ross, E. M. (2023). Skim-Nanopore sequencing for routine genomic evaluation and bacterial pathogen detection in cattle. Animal Production Science, 63 (11), 1074-1085. doi: 10.1071/an22451

Skim-Nanopore sequencing for routine genomic evaluation and bacterial pathogen detection in cattle

2023

Journal Article

Long-read Pore-C shows the 3D structure of the cattle genome

Nguyen, Loan T., Jung, Hyungtaek, Ma, Jun, Andersen, Stacey and Ross, Elizabeth (2023). Long-read Pore-C shows the 3D structure of the cattle genome. Animal Production Science, 63 (11), 1-11. doi: 10.1071/an22479

Long-read Pore-C shows the 3D structure of the cattle genome

2023

Conference Publication

A strategy for aggregating multi-source historical phenotypic and genotypic data sets containing homonyms for global genomic prediction in apple (Malus domestica)

Edge-Garza, D., Evans, K., Ross, E.M., Jung, S., Main, D. and Hardner, C. (2023). A strategy for aggregating multi-source historical phenotypic and genotypic data sets containing homonyms for global genomic prediction in apple (Malus domestica). XXXI International Horticultural Congress (IHC2022): International Symposium on Breeding and Effective Use of Biotechnology and Molecular Tools in Horticultural Crops, Angers, France, 14-20 August 2022. Leuven, Belgium: International Society for Horticultural Science. doi: 10.17660/actahortic.2023.1362.17

A strategy for aggregating multi-source historical phenotypic and genotypic data sets containing homonyms for global genomic prediction in apple (Malus domestica)

2023

Journal Article

In it for the long run: perspectives on exploiting long-read sequencing in livestock for population scale studies of structural variants

Nguyen, Tuan V., Vander Jagt, Christy J., Wang, Jianghui, Daetwyler, Hans D., Xiang, Ruidong, Goddard, Michael E., Nguyen, Loan T., Ross, Elizabeth M, Hayes, Ben J., Chamberlain, Amanda J. and MacLeod, Iona M. (2023). In it for the long run: perspectives on exploiting long-read sequencing in livestock for population scale studies of structural variants. Genetics Selection Evolution, 55 (1) 9, 1-15. doi: 10.1186/s12711-023-00783-5

In it for the long run: perspectives on exploiting long-read sequencing in livestock for population scale studies of structural variants

2022

Conference Publication

Bos indicus genome percentage effects gene expression profile and differentially expressed genes in Brahman cattle whole blood

Ross, E.M., Nguyen, L.T., Engle, B.N., Chamberlain, A.J., Kho, E. and Hayes, B.J. (2022). Bos indicus genome percentage effects gene expression profile and differentially expressed genes in Brahman cattle whole blood. 12th World Congress on Genetics Applied to Livestock Production (WCGALP), Rotterdam, The Netherlands, 3-8 July 2022. Wageningen, The Netherlands: Wageningen Academic Publishers. doi: 10.3920/978-90-8686-940-4_628

Bos indicus genome percentage effects gene expression profile and differentially expressed genes in Brahman cattle whole blood

2022

Conference Publication

Identification of differentially expressed transcription factors in Brangus skin infested with Rhipicephalus australis

Mantilla Valdivieso, E. , Nguyen, L., Ross, E., Raza, A., James, P., Hayes, B., Jonsson, N. and Tabor, A. (2022). Identification of differentially expressed transcription factors in Brangus skin infested with Rhipicephalus australis. 12th World Congress on Genetics Applied to Livestock Production (WCGALP), Rotterdam, Netherlands, 3-8 July 2022. Wageningen, Netherlands: Wageningen Academic Publishers. doi: 10.3920/978-90-8686-940-4_557

Identification of differentially expressed transcription factors in Brangus skin infested with Rhipicephalus australis

2022

Conference Publication

The long and short of Nanopore genomic prediction: the effect of read length on prediction accuracy

Lamb, H.J., Nguyen, L.T., Randhawa, I.A.S., Hayes, B.J. and Ross, E.M. (2022). The long and short of Nanopore genomic prediction: the effect of read length on prediction accuracy. 12th World Congress on Genetics Applied to Livestock Production (WCGALP), Rotterdam, Netherlands, 3-8 July 2022. Wageningen, Netherlands: Wageningen Academic Publishers. doi: 10.3920/978-90-8686-940-4_279

The long and short of Nanopore genomic prediction: the effect of read length on prediction accuracy

2022

Conference Publication

Multi-breed genomic predictions from commercial crossbred data

Hayes, B.J., Copley, J., Dodd, E., Ross, E.M. and Fordyce, G. (2022). Multi-breed genomic predictions from commercial crossbred data. 12th World Congress on Genetics Applied to Livestock Production (WCGALP), Rotterdam, Netherlands, 3-8 July 2022. Wageningen, Netherlands: Wageningen Academic Publishers. doi: 10.3920/978-90-8686-940-4_178

Multi-breed genomic predictions from commercial crossbred data

2022

Conference Publication

Predicted isoforms of a Brahman cow revealed by full-length transcript sequencing

Nguyen, L.T., Cheng, Y., Kuo, R., Hayes, B.J. and Ross, E.M. (2022). Predicted isoforms of a Brahman cow revealed by full-length transcript sequencing. 12th World Congress on Genetics Applied to Livestock Production (WCGALP), Rotterdam, Netherlands, 3 - 8 July 2022. Wageningen, Netherlands: Wageningen Academic Publishers. doi: 10.3920/978-90-8686-940-4_513

Predicted isoforms of a Brahman cow revealed by full-length transcript sequencing

Current funding

  • 2024 - 2029
    ARC Training Centre in Predictive Breeding for Agricultural Futures
    ARC Industrial Transformation Training Centres
    Open grant
  • 2022 - 2026
    On-farm genomics: genomic solutions for Northern beef cattle management and breeding
    Meat & Livestock Australia
    Open grant
  • 2022 - 2026
    LESTR Low Emission Saliva Test for Ruminants
    Meat & Livestock Australia
    Open grant

Past funding

  • 2020 - 2023
    FY20 Postgraduate Scholarships - Harrison Lamb
    Meat & Livestock Australia
    Open grant
  • 2018 - 2021
    Predicting age of livestock from DNA samples
    Meat & Livestock Australia
    Open grant

Availability

Dr Elizabeth Ross is:
Not available for supervision

Supervision history

Current supervision

Completed supervision

Enquiries

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