Justin Borevitz

This study evaluates the accuracy of eucalypt taxonomy by comparing gene tree topologies to a concatenated species tree, revealing inconsistencies in taxonomic groupings.

The paper develops a mechanistic crop growth model for wheat that uses eco-evolutionary optimal carbon allocation to predict growth and yield under varying environmental conditions.

The paper identifies a novel class of resistance genes in Myrtaceae, TNJ, characterized by Jacalin domains replacing LRRs, and suggests their role in pathogen recognition.

The paper uses genomic data to predict disease resistance in Melaleuca quinquenervia, enabling marker-assisted restoration efforts against myrtle rust.

The paper identifies a cold-adaptation locus, CHILL1, in Eucalyptus species through pangenome analysis and landscape genomics, showing its strong predictive power for cold adaptation.

The paper presents an improved haplotype-resolved genome assembly for Eucalyptus grandis, increasing gene annotation completeness and revealing structural variations and tandem duplicates.

The paper presents a chromosome-level, haplotype-resolved genome of Eucalyptus regnans, revealing structural variations and haplotype-specific genes that may contribute to environmental adaptation.

The paper analyzes genome architecture divergence in Eucalyptus species using long-read sequencing to show that rearrangements drive sequence divergence after lineage separation.

The paper identifies and characterizes interspecies structural variants in Eucalyptus species, revealing their role in genetic differentiation and adaptive divergence.

The paper develops a pipeline linking soil organic carbon fractions with microbial composition using metagenomics and SOC fractionation, showing two fungi increased SOC and specific carbon fractions.

This study examines how spatial, environmental, and ploidy factors influence genomic diversity and resilience in the grass species Themeda triandra.

HOME identifies differentially methylated regions with higher accuracy and broader applicability across organisms and contexts.

Axe is a fast demultiplexing algorithm that accurately selects the best index from sequence reads, handling sequencing errors and varying index lengths.

This study uses landscape genomic data to guide seed sourcing for Eucalyptus melliodora restoration under climate change, finding broad seed sourcing is viable due to extensive genetic diversity.

The paper assesses genetic diversity in Brachypodium species and identifies QTLs associated with agronomic traits under climate conditions.

kWIP estimates genetic similarity de novo using k-mer counts, enabling unbiased detection of sample mix-ups and population structure without reference genomes.