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Nina Montoya-Ciriaco

Researcher at Autonomous University of Tlaxcala

Publications -  5
Citations -  374

Nina Montoya-Ciriaco is an academic researcher from Autonomous University of Tlaxcala. The author has contributed to research in topics: Deforestation & Gemmatimonadetes. The author has an hindex of 4, co-authored 5 publications receiving 262 citations. Previous affiliations of Nina Montoya-Ciriaco include CINVESTAV & Instituto Politécnico Nacional.

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Relative impacts of tillage, residue management and crop-rotation on soil bacterial communities in a semi-arid agroecosystem

TL;DR: It was found that zero tillage most affected the bacterial communities, while crop residue management affected the microbial communities more than when conventional tillage was applied, indicating that even though phylotypes changed, the number and diversity of theacterial communities were similar.
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Pyrosequencing Analysis of the Bacterial Community in Drinking Water Wells

TL;DR: The bacterial community in nine water wells of a groundwater aquifer in Northern Mexico were characterized and correlated to environmental characteristics that might control them, and temperature and iron concentration were the characteristics that affected the bacterial community structure and composition in groundwater wells.
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Dietary effects on gut microbiota of the mesquite lizard Sceloporus grammicus (Wiegmann, 1828) across different altitudes

TL;DR: The composition of the fecal microbiota of S. grammicus was different at the three altitudes, but not between females and males, and different assemblages of fungal species in the lizard reflect differences in the environments at different elevations.
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Conversion of a High-Altitude Temperate Forest for Agriculture Reduced Alpha and Beta Diversity of the Soil Fungal Communities as Revealed by a Metabarcoding Analysis.

TL;DR: In this article, the authors determined how deforestation of a high-altitude temperate forest for cultivation of maize (Zea mays L.) or husbandry altered the taxonomic, phylogenetic, functional, and beta diversity of soil fungal communities using a 18S rRNA metabarcoding analysis.