A data mining approach gives insights of causes related to the ongoing transgene presence in Mexican native maize populations

Ureta, Carolina; González, Edgar J.; Piñeyro‐Nelson, Alma; Couturier, Stéphane; González-Ortega, Emmanuel; Álvarez-Buylla, Elena

doi:10.1080/21683565.2022.2146252

Cited by 5 publications

(3 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other variables that were close to being significant in both Oaxaca and Chiapas, were producer age group and the age of the seed stock used (see Table 2). Although we lacked predictive power due to low score values, the 13 variables extracted from our survey data yielded a higher ε value (spatial association) in comparison with the study from Ureta and colleagues [50], in which 61 large-scale social and environmental variables were used.…”

Section: Data Mining Analysismentioning

confidence: 73%

“…The answers from interviewed producers had been previously analyzed using general descriptive statistics [48]; data are summarized in Table 1. In order to further analyze these data, we used a spatial data mining approach to explore for potential geographic associations among multiple variables and the presence/absence of transgenes, implementing a method based on Bayesian probability [49] that has already been implemented on native maize [9,50]. We used publicly available data layers related with geographical, biological and social variables, as well as variables obtained from our survey related with seed management and agronomic practices.…”

Section: Data Mining Analyses Performed On Maize Producers' Survey Datamentioning

confidence: 99%

“…The data mining approach geared towards analyzing particular spatial associations between transgene presence and agricultural practices as implemented by [50] and modified from [49], yielded few state-specific associations. For Mexico City and Chiapas, only one variable had a strong association (ε ≥ 2) in each state (see Table 2).…”

Section: Data Mining Analysismentioning

confidence: 99%

See 2 more Smart Citations

Local and Regional Dynamics of Native Maize Seed Lot Use by Small-Scale Producers and Their Impact on Transgene Presence in Three Mexican States

Ayala-Angulo,

González,

Ureta

et al. 2023

Plants

Self Cite

View full text Add to dashboard Cite

Mexico harbors over 50% of maize’s genetic diversity in the Americas. Native maize varieties are actively managed by small-scale producers within a diverse array of cultivation systems. Seed lot use, exchange and admixture has consequences for the in situ conservation of such varieties. Here we analyze native maize seed management dynamics from 906 small-scale producers surveyed in three Mexican states: Mexico City, Oaxaca and Chiapas. Furthermore, we analyze how their management practices can relate to transgene presence, which was experimentally documented for maize samples associated with the applied surveys. Through a data mining approach, we investigated which practices might be related with a higher probability of transgene presence. The variables found to have a strong spatial association with transgene presence were: for Mexico City, maize producers with larger parcels; for Oaxaca, producer’s age (43–46 years) and the sale of seed; for Chiapas, the use of agricultural machinery and younger producers (37–43 years). Additionally, transgene presence and frequency within the socioeconomic regions of Oaxaca and Chiapas was analyzed. In Oaxaca, higher transgene frequencies occurred in regions where transgene presence had been previously reported. In Chiapas, the border regions with Guatemala as well as a region where reproduction of improved seed takes place, the highest proportion of positive samples were found. A detailed mapping of regional seed markets and seed exchange sites together with deployment of national and local biosecurity measures, could help prevent the further spread of transgenes into native maize varieties, as well as improve conservation efforts.

show abstract

Section: Data Mining Analysismentioning

confidence: 73%

Section: Data Mining Analyses Performed On Maize Producers' Survey Datamentioning

confidence: 99%

Section: Data Mining Analysismentioning

confidence: 99%

See 1 more Smart Citation

Local and Regional Dynamics of Native Maize Seed Lot Use by Small-Scale Producers and Their Impact on Transgene Presence in Three Mexican States

Ayala-Angulo,

González,

Ureta

et al. 2023

Plants

Self Cite

View full text Add to dashboard Cite

show abstract

JAZ Genes in Cotton: Prospects for Improvements to Vegetative and Fibre Growth by Addressing Lepidopteran Herbivory Resistance Mechanisms

Rock,

Adhikari,

Parajulee

2024

Annual Plant Reviews Online

View full text Add to dashboard Cite

Evolution of insect resistance is the primary threat to the long‐term efficacy of Bacillus thuringiensis (Bt) transgene technologies. Plants have a deeply conserved defence response to pests: Jasmonic acid (JA) hormone signalling mediated by transcriptional repressors called JASMONATE‐ZIM‐DOMAIN/JAZ. JAZs normally limit expression of plant defence pathways, promoting assimilate partitioning towards growth and reproduction, by their carboxyl terminal Jas motif that antagonises MYeloCytomatosis (MYC) master transcription factor activities. Deletion, alternative splicing/intron retention, or disruption of the Jas motif results in JA insensitivity and increased resistance to pathogens including arthropod herbivores, for example by production of secondary metabolites and new leaves with higher trichome density. JA‐mediated trichome initiation and elongation also impact cotton fibre production. Since its release in 2017, the third‐generation stacked commercial Bt insecticidal Vip3A protein traits are increasingly under severe pressure for evolution of Helicoverpa zea (bollworm) resistance. Regional differences in efficacy of Bollgard ® 3 and WideStrike ® 3 against lepidopteran pests and increasing pesticide use are emerging issues. Future transgenic field control failures from bollworm infestations and incursions of Helicoverpa armigera from Central America are likely in the U.S. Cotton Belt. In this systematic primer on the problem, we take a conceptual approach to consider JAZ genes as means to leverage ‘internal’ host‐derived herbivore resistance in cotton. We consider the genetic redundancy and pleiotropic nature of JAZ master regulators on tissue‐specific growth, development, crosstalk with hormonal and small RNA pathways as nodes in networks, and limitations of JAZ efficacy due to fitness costs/growth trade‐offs versus prospects for enhancing resistance networks to orchestrate transgressive segregation (generation of extreme phenotypes in breeding progeny not seen in parental lines).

show abstract

Recalcitrant maize: Conserving agrobiodiversity in the era of genetically modified organisms

Fenzi,

Foyer,

Boisvert

et al. 2023

Plants People Planet

View full text Add to dashboard Cite

Societal Impact StatementThe problem of genetically modified maize contamination in Mexico is the result of both planned and unplanned consequences of scientific and political choices. We show how a risk management strategy based on the modernist dichotomy between “modern” and “native” has failed to protect Mexican landraces and has marginalized other forms of knowledge that are urgently needed to understand and support the fluidity of Mexican biocultural landscapes. Farmers' seed systems are a fundamental source of crop resilience and evolution. They can constitute safe pathways for creating new maize varieties able to withstand climate and societal changes.Summary In 2001, an alert on the contamination of Mexican maize landraces by genetically modified (GM) maize spurred new actions to conserve the world's biggest reservoir of maize genetic diversity. We analyze how the largest maize collection effort in Mexican history, and the definition of the conservation procedures employed in it, either involved or marginalized different approaches to this environmental problem. The article is grounded in the sociohistorical analysis of the controversy of GM maize contamination and brings together new historiographical perspectives on Mexican scientific and political interest in native maize. It also draws on ethnographic approaches, extended fieldwork, and analysis of data from Mexican government agencies. We show how different epistemological traditions have made the risk of GM maize contamination (in)visible and thereby generated normative choices. We illustrate how the GMO controversy brought the theme of native maize back onto the Mexican political and scientific agenda. The normativity that shaped the controversy in the 2000s influenced current knowledge and how the problem of GM maize introgression is still addressed today. The entanglements between biotechnology, native landraces, and farmers' practices are too dense to be “scientized” and kept separate to be made manageable as areas of purely technical “risk.” The result is a geography of maize infused with all sorts of temporalities and materiality, which escapes the bounds of technoscientific framings. This intricate environment‐making process calls for new collaborations among epistemic cultures to tackle the possible consequences of GMOs for agrobiodiversity, seed systems, and their resilience.

show abstract

A data mining approach gives insights of causes related to the ongoing transgene presence in Mexican native maize populations

Cited by 5 publications

References 59 publications

Local and Regional Dynamics of Native Maize Seed Lot Use by Small-Scale Producers and Their Impact on Transgene Presence in Three Mexican States

Local and Regional Dynamics of Native Maize Seed Lot Use by Small-Scale Producers and Their Impact on Transgene Presence in Three Mexican States

JAZ Genes in Cotton: Prospects for Improvements to Vegetative and Fibre Growth by Addressing Lepidopteran Herbivory Resistance Mechanisms

Recalcitrant maize: Conserving agrobiodiversity in the era of genetically modified organisms

Contact Info

Product

Resources

About