Project Details
Description
The aim of this project is to characterise the genetic diversity in natural and breeding populations to identify genome wide changes during breeding of red clover. We wish to investigate to what extent artificial selection has affected the genome including genic and non-genic regions, and whether this has resulted in a reduction in diversity and increase in rare alleles. We propose the following programme to test this. Firstly, we will use RAD marker polymorphisms from an existing mapping family to improve alignment of the red clover genome assembly to a genetic map. Secondly, we will use a 600 genotype strong panel of ecotypes with mostly prostrate growth habit together with erect elite breeding material to analyse the genetic diversity by RAD marker sequencing. Phenotypic, chemical analyses and ecogeographical information of the diversity panel will allow us to obtain information on how haplotype structure correlates with phenotype and environmental gradients likely to impact on environmental adaptations. Nucleotide diversity and locus by locus genetic differentiation will reveal genomic regions under selection. We will also generate mapping families segregating for growth habit, thus enabling us to associate and map more accurately the target traits relating to a prostrate and erect phenotype. The goal is to identify the genes responsible for most of the genetic variation in this key domestication trait. This project will generate information on the genetic basis of a fundamental trait, provide insight into selection during recent domestication and inform the forage legume breeding programme. We will also re-sequence the five pollen donors in the new mapping family. This, the RAD marker data and the reference assembly will give us valuable information about genome-wide linkage disequilibrium, levels of heterozygosity, SNP density and patterns of polymorphisms in coding and non-coding sequence.
Layman's description
We propose to use the largely undomesticated red clover forage crop as a model for unravelling a key domestication trait. Forage legumes have superior feeding value for ruminant animals, and their nitrogen fixing capability enables them to provide useful ecosystem services in terms of improvement of soil fertility. Despite these properties their use in livestock agriculture declined particularly in Europe in the 70's and 80's, chiefly due to the availability of cheap chemically produced nitrogen fertilizer. The drive towards more sustainable agriculture, particularly less use of fertilizer manufactured from fossil fuels has halted the decline, and there is increasing interest in these legume crops, particularly in mixtures with forage grasses. There is thus an urgent need to accelerate their genetic improvement, which has stalled in later years due to lack of investment. This proposal aims to use recently developed genomics resources for red clover, second only to alfalfa in importance in temperate agriculture, to assess the genetic and phenotypic diversity of a European-wide collection of germplasm. One of the most fundamental requirements for genetic improvement programmes is to have access to genetic variation within your germplasm. There are suggestions that most recent European breeding populations have a relatively narrow base. With a very recent history of breeding, the largely undomesticated red clover crop is an ideal candidate to provide a comprehensive assessment of the role of domestication in changing the genome landscape during a crop improvement programme. In other words we will aim to characterise the genomic impact of domestication in a crop improvement programme by using red clover as a model. We will use a collection of populations from a range of habitats from throughout Europe together with elite breeding material. We will use this diversity panel to assess the genome-wide nucleotide diversity and use this information to tell us which regions of the genome have been subject to selective pressures either as a result of breeding or environmental adaptation. The focus will be on a key domestication trait, namely prostrate versus erect growth habit, which has a profound effect on grazing tolerance and persistency in forage crops. Plants with more prostrate growth habits are likely to be more tolerant to grazing and be more persistent. On the other hand, there is a yield penalty associated with prostrateness. Unravelling the genetic architecture is thus of major importance for genetic improvement, and will also give us novel insight into this fundamental trait in plants. We will use two types of plant material for this: A diversity panel consisting of ecotypes and natural populations with varying degrees of prostrate growth habit, and compare with elite breeding populations, all of which are erect. Secondly, we will generate populations segregating for this trait by crossing an erect female parent from elite material with five pollen donors taken from the prostrate natural populations. Phenotypic analysis of agronomic and growth traits in these populations will be accompanied by chemical analysis of various forage quality traits, and by obtaining genome-wide SNP polymorphism data. This will be achieved by restriction associated DNA (RAD) marker analysis in the mapping populations, as well as the diversity panel. In combination with the improved genome sequence assembly, this will enable us to identify and map genomic regions under selection, and allow identification of some of the genes governing this trait. This will provide novel insight into the architecture of domestication traits. The partnership with Germinal Holdings Ltd gives us a pipeline into the breeding programme, which will ensure that the genomic data and knowledge we obtain will benefit genetic improvement of red clover.
| Status | Finished |
|---|---|
| Effective start/end date | 01 Oct 2014 → 30 Sept 2017 |
Funding
- Biotechnology and Biological Sciences Research Council (BB/L023563/1): £282,610.82
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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SDG 2 Zero Hunger
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SDG 13 Climate Action
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Identification of loci controlling timing of stem elongation in red clover using genotyping by sequencing of pooled phenotypic extremes
Ergon, Å., Milvang, Ø. W., Skøt, L. & Ruttink, T., 30 Nov 2022, In: Molecular Genetics and Genomics. 297, 6, p. 1587-1600 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Citations (Scopus)40 Downloads (Pure) -
Population structure and genetic diversity in red clover (Trifolium pratense L.) germplasm
Jones, C., de Vega, J., Lloyd, D., Hegarty, M., Ayling, S., Powell, W. & Skot, L., 01 Dec 2020, In: Scientific Reports. 10, 1, 12 p., 8364.Research output: Contribution to journal › Article › peer-review
Open AccessFile26 Citations (Scopus)163 Downloads (Pure) -
Population structure of red clover ecotypes collected from Europe and Asia
Jones, C., de Vega, J., Lloyd, D., Hegarty, M., Ayling, S., Powell, W. & Skot, L., 02 Jun 2018, Breeding Grasses and Protein Crops in the Era of Genomics. Brazauskas, G., Statkevičiūtė, G. & Jonavičienė, K. (eds.). Springer Nature, p. 20-26Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Application of genomics-assisted breeding for generation of climate resilient crops: Progress and prospects
Kole, C., Muthamilarasan, M., Henry, R., Edwards, D., Sharma, R., Abberton, M. T., Batley, J., Bentley, A., Blakeney, M., Bryant, J., Cai, H., Cakir, M., Cseke, L. J., Cockram, J., Oliveira, A. C., Pace, C. D., Dempewolf, H., Ellison, S., Gepts, P. & Greenland, A. J. & 20 others, , 2015, In: Frontiers in Plant Science. 6, 563.Research output: Contribution to journal › Literature Review › peer-review
Open AccessFile298 Citations (Scopus)320 Downloads (Pure) -
De novo assembly of red clover transcriptome based on RNA-Seq data provides insight into drought response, gene discovery and marker identification
Yates, S. A., Swain, M. T., Hegarty, M. J., Chernukin, I., Lowe, M. J., Allison, G. G., Ruttlink, T., Abberton, M. T., Jenkins, G. & Skøt, L., 09 Jun 2014, In: BMC Genomics. 15, 1, 15 p., 453.Research output: Contribution to journal › Article › peer-review
Open AccessFile131 Citations (Scopus)309 Downloads (Pure)