Monika Höfer

Dr. Monika Höfer

orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 August 2022 in The Plant Journal
Verified
Journal Article
Open access
ESElisa Senger
Elisa Senger
Sonia OsorioSonia Osorio
Sonia Osorio
KOKlaus Olbricht
Klaus Olbricht
PSPaul Shaw
Paul Shaw
BDBéatrice Denoyes
Béatrice Denoyes
Bruno MezzettiBruno Mezzetti
Bruno Mezzetti
SUMMARY: Fresh berries are a popular and important component of the human diet. The demand for high‐quality berries and sustainable production methods is increasing globally, challenging breeders to develop modern berry cultivars that fulfill all desired characteristics. Since 1994, research projects have characterized genetic resources, developed modern tools for high‐throughput screening, and published data in publicly available repositories. However, the key findings of different disciplines are rarely linked together, and only a limited range of traits and genotypes has been investigated. The Horizon2020 project BreedingValue will address these challenges by studying a broader panel of strawberry, raspberry and blueberry genotypes in detail, in order to recover the lost genetic diversity that has limited the aroma and flavor intensity of recent cultivars. We will combine metabolic analysis with sensory panel tests and surveys to identify the key components of taste, flavor and aroma in berries across Europe, leading to a high‐resolution map of quality requirements for future berry cultivars. Traits linked to berry yields and the effect of environmental stress will be investigated using modern image analysis methods and modeling. We will also use genetic analysis to determine the genetic basis of complex traits for the development and optimization of modern breeding technologies, such as molecular marker arrays, genomic selection and genome‐wide association studies. Finally, the results, raw data and metadata will be made publicly available on the open platform Germinate in order to meet FAIR data principles and provide the basis for sustainable research in the future.

23 September 2021 in Plants
Verified
Journal Article
Open access
PDF file
TBTeresa Barreneche
Teresa Barreneche
MCMaría Cárcamo de la Concepción
María Cárcamo de la Concepción
MDMarine Blouin Delmas
Marine Blouin Delmas
MOMatthew Ordidge
Matthew Ordidge
HNHilde Nybom
Hilde Nybom
JQJosé Quero-Garcia
José Quero-Garcia
Sweet cherry (Prunus avium L.) is a temperate fruit species whose production might be highly impacted by climate change in the near future. Diversity of plant material could be an option to mitigate these climate risks by enabling producers to have new cultivars well adapted to new environmental conditions. In this study, subsets of sweet cherry collections of 19 European countries were genotyped using 14 SSR. The objectives of this study were (i) to assess genetic diversity parameters, (ii) to estimate the levels of population structure, and (iii) to identify germplasm redundancies. A total of 314 accessions, including landraces, early selections, and modern cultivars, were monitored, and 220 unique SSR genotypes were identified. All 14 loci were confirmed to be polymorphic, and a total of 137 alleles were detected with a mean of 9.8 alleles per locus. The average number of alleles (N = 9.8), PIC value (0.658), observed heterozygosity (Ho = 0.71), and expected heterozygosity (He = 0.70) were higher in this study compared to values reported so far. Four ancestral populations were detected using STRUCTURE software and confirmed by Principal Coordinate Analysis (PCoA), and two of them (K1 and K4) could be attributed to the geographical origin of the accessions. A N-J tree grouped the 220 sweet cherry accessions within three main clusters and six subgroups. Accessions belonging to the four STRUCTURE populations roughly clustered together. Clustering confirmed known genealogical data for several accessions. The large genetic diversity of the collection was demonstrated, in particular within the landrace pool, justifying the efforts made over decades for their conservation. New sources of diversity will allow producers to face challenges, such as climate change and the need to develop more sustainable production systems.

16 June 2021 in Plants
Verified
Journal Article
Open access
PDF file
MHMonika Höfer
Monika Höfer
HFHenryk Flachowsky
Henryk Flachowsky
SSSusan Schröpfer
Susan Schröpfer
APAndreas Peil
Andreas Peil
A set of 680 apple cultivars from the Fruit Gene bank in Dresden Pillnitz was evaluated for the incidence of powdery mildew and scab in two consecutive years. The incidence of both scab and powdery mildew increased significantly in the second year. Sixty and 43 cultivars with very low incidence in both years of scab and powdery mildew, respectively, were analysed with molecular markers linked to known resistance genes. Thirty-five cultivars were identified to express alleles or combinations of alleles linked to Rvi2, Rvi4, Rvi6, Rvi13, Rvi14, or Rvi17. Twenty of them, modern as well as a few traditional cultivars known before the introduction or Rvi6 from Malus floribunda 821, amplified the 159 bp fragment of marker CH_Vf1 that is linked to Rvi6. Alleles linked to Pl1, Pld, or Plm were expressed from five cultivars resistant to powdery mildew. Eleven cultivars were identified to have very low susceptibility to both powdery mildew and scab. The information on resistance/susceptibility of fruit genetic resources towards economically important diseases is important for breeding and for replanting traditional cultivars. Furthermore, our work provides a well-defined basis for the discovery of undescribed, new scab, and powdery mildew resistance.

3 August 2017 in In Vitro Cellular & Developmental Biology - Plant
Verified
Journal Article
Closed access
PDF file
MHMonika Höfer
Monika Höfer
MHMagda-Viola Hanke
Magda-Viola Hanke

18 June 2021 in Plants
Verified
Journal Article
Open access
PDF file
MOMatthew Ordidge
Matthew Ordidge
SLSuzanne Litthauer
Suzanne Litthauer
EVEdward Venison
Edward Venison
MDMarine Blouin Delmas
Marine Blouin Delmas
FFFelicidad Fernandez-Fernandez
Felicidad Fernandez-Fernandez
Daniela GiovanniniDaniela Giovannini
Daniela Giovannini
The objective of our study was the alignment of microsatellite or simple sequence repeat (SSR) marker data across germplasm collections of cherry within Europe. Through the European Cooperative program for Plant Genetic Resources ECPGR, a number of European germplasm collections had previously been analysed using standard sets of SSR loci. However, until now these datasets remained unaligned. We used a combination of standard reference genotypes and ad-hoc selections to compile a central dataset representing as many alleles as possible from national datasets produced in France, Great Britain, Germany, Italy, Sweden and Switzerland. Through the comparison of alleles called in data from replicated samples we were able to create a series of alignment factors, supported across 448 different allele calls, that allowed us to align a dataset of 2241 SSR profiles from six countries. The proportion of allele comparisons that were either in agreement with the alignment factor or confounded by null alleles ranged from 67% to 100% and this was further improved by the inclusion of a series of allele-specific adjustments. The aligned dataset allowed us to identify groups of previously unknown matching accessions and to identify and resolve a number of errors in the prior datasets. The combined and aligned dataset represents a significant step forward in the co-ordinated management of field collections of cherry in Europe.

1 December 2005 in Acta Physiologiae Plantarum
Verified
Journal Article
Closed access
PDF file
MBMaría Angeles Bueno
María Angeles Bueno
BPBeatriz Pintos
Beatriz Pintos
MHMonika Höfer
Monika Höfer
AMAntonio Martin
Antonio Martin