4.2 Article

Genetic Diversity of Grape Phylloxera Leaf-Galling Populations on Vitis species in Uruguay

Journal

AMERICAN JOURNAL OF ENOLOGY AND VITICULTURE
Volume 66, Issue 1, Pages 46-53

Publisher

AMER SOC ENOLOGY VITICULTURE
DOI: 10.5344/ajev.2014.14026

Keywords

Daktulosphaira vitifoliae; Phylloxeridae; parthenogenesis; gene flow; microsatellite markers

Funding

  1. INAVI
  2. CSIC

Ask authors/readers for more resources

Grape phylloxera (Daktulosphaira vitifoliae) feeds exclusively on Vitis species, preferentially on leaves of American Vitis species and roots of European Vitis vinifera. Over the last 15 years, extensive feeding and galling on V. vinifera leaves have been observed in Italy, Brazil, and Peru. In Uruguay, D. vitifoliae infestations on V. vinifera leaves were detected in very high densities. The cause of this unexpected insect behavior is unknown, but possible explanations include selection pressure for more aggressive native strains in the new context of vigorous plants replacing old vineyards, loss of resistance in plants due to improvement programs, or importation of exotic strains of the insect. The aims of this research were to evaluate genetic diversity of leaf-galling populations of Uruguayan phylloxera, to estimate genetic distances among them, and to compare Uruguayan and foreign phylloxera populations (Brazilian, Peruvian, and European). Genetic distances between root and leaf samples from the same plant were also estimated. Four polymorphic microsatellite primers were used in this study. In the analysis of leaf- and root-insect populations from the same plant, different insect genotypes were found on grafted vines, with one genotype on the rootstock and one on the V. vinifera (cultivar scion). For Uruguayan leaf-galling insect populations, the average number of alleles per locus was 4.25. Genetic variance found among individuals within populations was 88% (SE = 2.298, p < 0.001), and 12% between populations (SE = 0.319, p < 0.001). An F-ST of 0.211 (p < 0.001) suggests limited genetic flow among populations. Significant deviation from Hardy-Weinberg equilibrium detected for the loci analyzed and the negative F-IS values together suggest that parthenogenesis could be the reproductive mode. Genetic diversity found in this work shows considerable potential for host adaptation to environmental variability.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.2
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Plant Sciences

Genetic architecture of photosynthesis energy partitioning as revealed by a genome-wide association approach

Gaston Quero, Victoria Bonnecarrere, Sebastian Simondi, Jorge Santos, Sebastian Fernandez, Lucia Gutierrez, Silvia Garaycochea, Omar Borsani

Summary: Photosynthesis efficiency is influenced by light intensity and quality, requiring leaves to adapt to changing environments. Analysis of quantum yield parameters helps understand energy management, with genotypic variability offering opportunities for identifying genomic regions associated with photosynthesis.

PHOTOSYNTHESIS RESEARCH (2021)

Article Agronomy

Speed breeding and early panicle harvest accelerates oat (Avena sativa L.) breeding cycles

Pablo Gonzalez-Barrios, Madhav Bhatta, Madalene Halley, Pablo Sandro, Lucia Gutierrez

Summary: The study showed that using a speed breeding system can significantly reduce the time required for inbreeding in plants, particularly in oats where early seed harvesting with acceptable germination levels is achievable, which is crucial for breeding systems utilizing single-seed descent.

CROP SCIENCE (2021)

Article Agronomy

Using environmental similarities to design training sets for genomewide selection

Jeffrey L. Neyhart, Lucia Gutierrez, Kevin P. Smith

Summary: The goal of genomewide selection in plant breeding is to predict the merit of unobserved individuals in future breeding generations. It is found that using data from more, but increasingly dissimilar environments can increase prediction accuracy, although with diminishing returns. Clusters of environments based on phenotypic correlations typically improve prediction accuracy within a generation but not between generations.

CROP SCIENCE (2021)

Article Genetics & Heredity

Translating insights from the seed metabolome into improved prediction for lipid-composition traits in oat (Avena sativa L.)

Malachy T. Campbell, Haixiao Hu, Trevor H. Yeats, Melanie Caffe-Treml, Lucia Gutierrez, Kevin P. Smith, Mark E. Sorrells, Michael A. Gore, Jean-Luc Jannink

Summary: This study characterized natural variation in the oat seed metabolome and identified latent factors associated with lipid metabolism. Through whole-genome regression and association mapping, the study revealed a complex genetic architecture for factors generating covariance for many metabolites. The associations were used to improve predictions for seed quality traits and provide genomic resources for breeders to enhance selection for health-promoting traits.

GENETICS (2021)

Review Plant Sciences

Need for speed: manipulating plant growth to accelerate breeding cycles

Madhav Bhatta, Pablo Sandro, Millicent R. Smith, Oscar Delaney, Kai P. Voss-Fels, Lucia Gutierrez, Lee T. Hickey

Summary: Speed breeding manipulates the growing environment to accelerate generation advance in plant breeding programs. It is compatible with various crops and cutting-edge tools like genomic selection, providing benefits for capacity building and accelerating the development of productive and resilient crops.

CURRENT OPINION IN PLANT BIOLOGY (2021)

Article Genetics & Heredity

Improving Genomic Prediction for Seed Quality Traits in Oat (Avena sativa L.) Using Trait-Specific Relationship Matrices

Malachy T. Campbell, Haixiao Hu, Trevor H. Yeats, Lauren J. Brzozowski, Melanie Caffe-Treml, Lucia Gutierrez, Kevin P. Smith, Mark E. Sorrells, Michael A. Gore, Jean-Luc Jannink

Summary: The study evaluated the use of TGRMs to accommodate information on intermediate molecular phenotypes and predict total lipid content in oat seed. The MK-TGRM-BLUP approach significantly outperformed MT-gBLUP, highlighting the utility of TGRMs to accommodate information on endophenotypes and improve genomic prediction for a conventional agronomic trait.

FRONTIERS IN GENETICS (2021)

Article Agronomy

Genetic characterization of agronomic traits and grain threshability for organic naked barley in the northern United States

Chris Massman, Brigid Meints, Javier Hernandez, Karl Kunze, Patrick M. Hayes, Mark E. Sorrells, Kevin P. Smith, Julie C. Dawson, Lucia Gutierrez

Summary: This study aimed to evaluate a set of spring naked barley genotypes for agronomic traits in the northern United States under organic conditions and estimate the degree of genotype x environment interaction (GEI). The results showed that traits such as test weight, plant height, heading date, and threshability were mainly influenced by genotypic effects, while grain yield variance was primarily attributed to GEI. Selection for grain yield should consider the patterns of genotype x environment interaction, while traits like heading date, plant height, test weight, and threshability can be selected across different environments.

CROP SCIENCE (2022)

Article Agronomy

Optimizing the choice of test locations for multitrait genotypic evaluation

Jeffrey L. Neyhart, Lucia Gutierrez, Kevin P. Smith

Summary: This study utilized barley breeding nurseries to optimize the selection of test locations based on multitrait data, leading to a significant reduction in the number of locations and phenotyping costs. The approach allowed for the selection of locations to match different sets of traits, increasing resource efficiency for regional evaluation trials.

CROP SCIENCE (2022)

Article Agronomy

Vernalization requirements of Kernza intermediate wheatgrass

Andres Locatelli, Lucia Gutierrez, Valentin D. Picasso Risso

Summary: The objective of this research was to determine the length of the cold period required for vernalization in Kernza intermediate wheatgrass. The results showed that the percentage of flowering plants increased as the length of the cold incubation period increased, but no changes were observed in yield components after 7 weeks of cold incubation. There were no differences among populations for most traits and there was large within-population phenotypic diversity. Further research is needed to confirm the feasibility of breeding Kernza with lower vernalization requirements.

CROP SCIENCE (2022)

Article Agronomy

Multi-omics prediction of oat agronomic and seed nutritional traits across environments and in distantly related populations

Haixiao Hu, Malachy T. Campbell, Trevor H. Yeats, Xuying Zheng, Daniel E. Runcie, Giovanny Covarrubias-Pazaran, Corey Broeckling, Linxing Yao, Melanie Caffe-Treml, Luci'a Gutierrez, Kevin P. Smith, James Tanaka, Owen A. Hoekenga, Mark E. Sorrells, Michael A. Gore, Jean-Luc Jannink

Summary: The integration of multi-omics data has been shown to improve the prediction accuracies of oat agronomic and seed nutritional traits. Multi-omics prediction outperformed genomic prediction in single-environment trials, and multi-trait models with omics data showed superior performance in multi-environment trials. Additionally, a two-kernel linear model utilizing omics data was proposed to improve genomic prediction accuracy for various traits with prior knowledge of genetic architecture.

THEORETICAL AND APPLIED GENETICS (2021)

Article Agronomy

Genetic control of barley phenology in South American environments

Andres Locatelli, Mahdav Bhatta, Lucia Gutierrez, Nicolas Mastandrea, Luis Viega, Ariel Julio Castro

Summary: This study aimed to identify the genomic regions associated with phenology in barley germplasm representative of breeding and production in the Southern Cone of South America. By conducting multiple field experiments, QTL were detected for multiple phenology traits in multiple environments. These findings provide insights into phenology in barley in temperate regions and can guide future research.

EUPHYTICA (2022)

Article Agronomy

Developing high-quality value-added cereals for organic systems in the US Upper Midwest: hard red winter wheat (Triticum aestivum L.) breeding

Pablo Sandro, Lisa Kissing Kucek, Mark E. Sorrells, Julie C. Dawson, Lucia Gutierrez

Summary: This study aimed to develop a participatory hard red winter wheat breeding program in the US Upper Midwest, focusing on evaluating and selecting stable varieties suitable for organic systems, with input from farmers, millers, and bakers throughout the breeding process.

THEORETICAL AND APPLIED GENETICS (2022)

Article Plant Sciences

Generalizable approaches for genomic prediction of metabolites in plants

Lauren J. Brzozowski, Malachy T. Campbell, Haixiao Hu, Melanie Caffe, Lucia Gutierrez, Kevin P. Smith, Mark E. Sorrells, Michael A. Gore, Jean-Luc Jannink

Summary: In this study, we tested the applicability of genomic prediction methods based on biochemical pathways for oat seed metabolites. The results showed that metabolite kernels developed from the discovery panel significantly improved the prediction accuracy of the same metabolites in the validation panel. However, this method did not improve the prediction accuracy for GC-MS metabolites.

PLANT GENOME (2022)

Article Agronomy

Genomic prediction of threshability in naked barley

Chris Massman, Brigid Meints, Javier Hernandez, Karl Kunze, Kevin P. Smith, Mark E. Sorrells, Patrick M. Hayes, Lucia Gutierrez

Summary: This study aimed to identify quantitative trait loci associated with threshability and evaluate their utility in genomic prediction models. Two loci on chromosomes 2H and 3H were found to be associated with threshability, but their impact on marker-assisted selection may be limited. The incorporation of these loci as covariates in the model did not improve predictive ability, while a multi-trait model including grain test weight showed improved predictive ability. Overall, genomic selection has a high predictive ability for threshability in naked barley.

CROP SCIENCE (2023)

Article Agronomy

An image-based methodology to evaluate oat panicle architecture

Ines Berro, Jose Varela, Lucia Gutierrez

Summary: The research proposed an image-based strategy and methodology to evaluate oat panicles, obtaining panicle traits through image analysis using MATLAB. The heritability of all panicle traits was high between 0.76 and 0.93, and significant genotypic differences for panicle architecture traits could be detected with a high power of 0.80 using six panicles per replication.

CROP SCIENCE (2023)

No Data Available