Qichao Lian

This study shows that polymorphism increases recombination rates in Arabidopsis thaliana, shifting crossover hotspots to polymorphic regions and reducing them in non-polymorphic regions, driven by mismatch repair machinery.

This study examines the evolutionary diversification of SymRK receptor family in land plants, revealing conserved and expanded clades with distinct transcriptional and evolutionary characteristics.

This study identifies three factors that suppress meiotic crossovers near centromeres in Arabidopsis and shows that their mutation increases crossover frequency in these regions.

This study disrupts anti-crossover mechanisms in Arabidopsis to reveal a universal crossover potential profile across sexes.

This study investigates the role of MutLgamma in meiotic crossover formation in Arabidopsis thaliana, showing it is partially dispensable for ZMM-dependent crossovers and influences resolution of recombination intermediates.

The paper curates and presents a collection of long-read genome assemblies for Arabidopsis thaliana accessions to enhance plant genome research.

The paper maps meiotic crossover landscapes near centromeres in Arabidopsis, showing suppression linked to structural variation and DNA methylation.

The paper identifies HEIP1 as a conserved protein involved in meiotic crossover formation, showing its role in both early and late stages of the class I crossover pathway in Arabidopsis and its presence in mammals.

The paper directly determines meiotic crossovers in fission yeast S. pombe, confirming the absence of crossover interference and revealing co-variation in CO numbers across chromosomes.

The paper investigates how meiotic crossover patterning is controlled by ZMM proteins and the synaptonemal complex, showing that HEI10 overexpression increases crossovers and reduces interference while maintaining sexual dimorphism, and ZYP1 mutation disrupts the link between axis length and COs.

The paper shows that megabase-scale recombination landscapes in Arabidopsis are independent of sequence divergence and can be predicted by chromatin features.