BIOSTATISTICS APPLICATIONS FOR TROPICAL (AND NON) PLANT AND ANIMAL BIOLOGY: A (META)GENOMICS PERSPECTIVE
Conference Paper
Publication Date:
2018
abstract:
Next-generation sequencing and high-throughput SNP-genotyping have wide applications in plant
and animal genomics and metagenomics. Such applications provide insights into population
genetics and are used to develop tools to assist agriculture. In rice, through GWAS the SD-1 gene
allele linked to semi-dwarf phenotype was found to be still segregating in temperate japonica
accessions, while in indica and tropical japonica accessions was either absent (wild type) or fixed
(semi-dwarf lines). With a similar approach, SNP associated with yield have been identified in rice
accessions under limited-water conditions: the identified associations are suitable targets for
genomics-assisted breeding to improve yield-related traits under limited water conditions. In sugar
beet, alleles for genetic resistance to diseases are typically introduced through introgression from
wild beets. By sequencing 21 resistance genes for rhizomania and nematode infections, wild and
cultivated beets did indeed cluster together, except one gene: this last reveals a resistance mutation
that originated directly in domestic beets. With metagenomics, significant differences have been
observed in the gut microbiota composition of BALBc mice (animal model for Graves' thyroid
disease) immunized with the same protocol in comparable specific-pathogen free units from
different centers. These differences help explain the lack of reproducibility of the animal model
across centres. Similarly, the gut microbiota may be implicated in genotype-by-environment
interactions found in livestock when farming the same breed in different places (e.g. temperate vs
tropical latitudes). In cattle, the rumen microbiome has a major role in methane production, a green-
house gas implicated in global climate change. Feed supplementation modulate the rumen
microbiota composition, and specifically reduce the counts of methanogenic taxa. These results can
be applied to farming and breeding for reduced methane emissions in cattle.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Biostatistics; bioinformatics; ecology; tropical sp
List of contributors: