Range-wide phenotypic and genetic differentiation in wild sunflower

McAssey, Edward V.; Corbi, Jonathan; Burke, John M.

doi:10.1186/s12870-016-0937-7

Cited by 23 publications

(34 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nonetheless, we found a notable exception in sunflower, in which variation increases from that observed in the wild relatives. This exceptional case could be explained by the large phenotypic and genetic variation found in the continuum of landraces, hybrids, and genetically modified organisms that increases the phenotypic amplitude in the domesticated populations ( McAssey et al, 2016 ).…”

Section: Discussionmentioning

confidence: 99%

Domesticated, Genetically Engineered, and Wild Plant Relatives Exhibit Unintended Phenotypic Differences: A Comparative Meta-Analysis Profiling Rice, Canola, Maize, Sunflower, and Pumpkin

et al. 2017

View full text Add to dashboard Cite

Agronomic management of plants is a powerful evolutionary force acting on their populations. The management of cultivated plants is carried out by the traditional process of human selection or plant breeding and, more recently, by the technologies used in genetic engineering (GE). Even though crop modification through GE is aimed at specific traits, it is possible that other non-target traits can be affected by genetic modification due to the complex regulatory processes of plant metabolism and development. In this study, we conducted a meta-analysis profiling the phenotypic consequences of plant breeding and GE, and compared modified cultivars with wild relatives in five crops of global economic and cultural importance: rice, maize, canola, sunflower, and pumpkin. For these five species, we analyzed the literature with documentation of phenotypic traits that are potentially related to fitness for the same species in comparable conditions. The information was analyzed to evaluate whether the different processes of modification had influenced the phenotype in such a way as to cause statistical differences in the state of specific phenotypic traits or grouping of the organisms depending on their genetic origin [wild, domesticated with genetic engineering (domGE), and domesticated without genetic engineering (domNGE)]. In addition, we tested the hypothesis that, given that transgenic plants are a construct designed to impact, in many cases, a single trait of the plant (e.g., lepidopteran resistance), the phenotypic differences between domGE and domNGE would be either less (or inexistent) than between the wild and domesticated relatives (either domGE or domNGE). We conclude that (1) genetic modification (either by selective breeding or GE) can be traced phenotypically when comparing wild relatives with their domesticated relatives (domGE and domNGE) and (2) the existence and the magnitude of the phenotypic differences between domGE and domNGE of the same crop suggest consequences of genetic modification beyond the target trait(s).

show abstract

Section: Discussionmentioning

confidence: 99%

Domesticated, Genetically Engineered, and Wild Plant Relatives Exhibit Unintended Phenotypic Differences: A Comparative Meta-Analysis Profiling Rice, Canola, Maize, Sunflower, and Pumpkin

et al. 2017

View full text Add to dashboard Cite

show abstract

“…In sunflower, only one of the association mapping studies so far was performed genome-wide ( Mandel et al, 2013 ), all others were candidate gene based ( Fusari et al, 2012 ; Cadic et al, 2013 ; Talukder et al, 2014b ; Nambeesan et al, 2015 ; McAssey et al, 2016 ). Genome-wide association mapping was performed in an association population of 271 lines ( Mandel et al, 2011 ), using 5,359 SNP marker from the Illumina Infinium Beadchip ( Mandel et al, 2013 ).…”

Section: Association Mappingmentioning

confidence: 99%

“…Most of these were found on LG10, where previous QTL mapping had detected the B-Locus for recessive branching ( Tang et al, 2006 ; Bachlava et al, 2009 ). With regard to flowering time, a SNP in HaFT2 was identified that co-localized with a flowering time QTL ( McAssey et al, 2016 ).…”

Section: Association Mappingmentioning

confidence: 99%

Sunflower Hybrid Breeding: From Markers to Genomic Selection

Dimitrijević

Horn

2018

Front. Plant Sci.

View full text Add to dashboard Cite

In sunflower, molecular markers for simple traits as, e.g., fertility restoration, high oleic acid content, herbicide tolerance or resistances to Plasmopara halstedii, Puccinia helianthi, or Orobanche cumana have been successfully used in marker-assisted breeding programs for years. However, agronomically important complex quantitative traits like yield, heterosis, drought tolerance, oil content or selection for disease resistance, e.g., against Sclerotinia sclerotiorum have been challenging and will require genome-wide approaches. Plant genetic resources for sunflower are being collected and conserved worldwide that represent valuable resources to study complex traits. Sunflower association panels provide the basis for genome-wide association studies, overcoming disadvantages of biparental populations. Advances in technologies and the availability of the sunflower genome sequence made novel approaches on the whole genome level possible. Genotype-by-sequencing, and whole genome sequencing based on next generation sequencing technologies facilitated the production of large amounts of SNP markers for high density maps as well as SNP arrays and allowed genome-wide association studies and genomic selection in sunflower. Genome wide or candidate gene based association studies have been performed for traits like branching, flowering time, resistance to Sclerotinia head and stalk rot. First steps in genomic selection with regard to hybrid performance and hybrid oil content have shown that genomic selection can successfully address complex quantitative traits in sunflower and will help to speed up sunflower breeding programs in the future. To make sunflower more competitive toward other oil crops higher levels of resistance against pathogens and better yield performance are required. In addition, optimizing plant architecture toward a more complex growth type for higher plant densities has the potential to considerably increase yields per hectare. Integrative approaches combining omic technologies (genomics, transcriptomics, proteomics, metabolomics and phenomics) using bioinformatic tools will facilitate the identification of target genes and markers for complex traits and will give a better insight into the mechanisms behind the traits.

show abstract

“…HA7-911263, found on LG 7, has similarity to an armadillo-type fold protein. McAssey et al (2016) previously observed a SNP outlier corresponding to an ARM repeat protein in H. annuus on the same LG (19.29 cM position), which colocalized with quantitative trait loci for flowering time, plant height, leaf number, and head herbivory in previous mapping studies (Burke et al, 2002;Dechaine et al, 2009). HA10-86839089 on LG 10 was annotated as similar to the known gene MALE GAMETOPHYTE DEFECTIVE 1 (MGP1-AT2G21870) in Arabidopsis, involved in the mitochondrial F1FO-ATP synthase necessary for viable pollen formation (Li et al, 2010).…”

Section: Candidate Gene Detectionmentioning

confidence: 77%

Genetic Characterization of Maximilian Sunflower for the Development of a Locally Adapted Perennial Grain Oilseed

2018

View full text Add to dashboard Cite

Maximilian sunflower (Helianthus maximiliani Schrad.), a crop wild relative of sunflower (Helianthus annuus L.), has been identified as a species of interest for the development of a perennial oilseed crop. Knowledge of the diversity, the potential for crop development, and genomic resources of this crop wild relative is limited. To facilitate its use in breeding programs, a baseline characterization of locally adapted germplasm is required to develop informed breeding strategies. Individuals were collected from nine sites in southern Manitoba, Canada, and characterized for phenotypic and genotypic divergence to estimate traits of interest for the implementation of a breeding program in Maximilian sunflower. Genotype‐by‐sequencing was used to characterize population genetic parameters and identify candidate single nucleotide polymorphisms (SNPs) associated with phenotypic divergence and environmental differences between collection sites. Candidate SNPs associated with frost‐free period, temperature during the primary vegetative growth period, elevation, soil CaCO3 equivalent, days to anthesis and capitulum size were identified and may be useful for the improvement of H. maximiliani and crop species related to cultivated sunflower. Associations between temperature, population structure, and overall plant size were also identified, suggesting phenotypic divergence across a local temperature gradient. The sampled Maximilian sunflower populations exhibited a high degree of polymorphism, low levels of inbreeding, and a highly heterozygous genome at the local scale, traits that favor the establishment of locally adapted germplasm pools. There appears to be sufficient variation to make selections for agronomic traits in local germplasm of Maximilian sunflower to support its development as a perennial oilseed.

show abstract

Range-wide phenotypic and genetic differentiation in wild sunflower

Cited by 23 publications

References 66 publications

Domesticated, Genetically Engineered, and Wild Plant Relatives Exhibit Unintended Phenotypic Differences: A Comparative Meta-Analysis Profiling Rice, Canola, Maize, Sunflower, and Pumpkin

Domesticated, Genetically Engineered, and Wild Plant Relatives Exhibit Unintended Phenotypic Differences: A Comparative Meta-Analysis Profiling Rice, Canola, Maize, Sunflower, and Pumpkin

Sunflower Hybrid Breeding: From Markers to Genomic Selection

Genetic Characterization of Maximilian Sunflower for the Development of a Locally Adapted Perennial Grain Oilseed

Contact Info

Product

Resources

About