The role of recombination in evolution is compared with that of point mutations (substitutions) in the context of a simple, polymer physics-based model mapping between sequence (genotype) and conformational (phenotype) spaces. Crossovers and point mutations of lattice chains with a hydrophobic polar code are investigated. Sequences encoding for a single ground-state conformation are considered viable and used as model proteins. Point mutations lead to diffusive walks on the evolutionary landscape, whereas crossovers can ''tunnel'' through barriers of diminished fitness. The degree to which crossovers allow for more efficient sequence and structural exploration depends on the relative rates of point mutations versus that of crossovers and the dispersion in fitness that characterizes the ruggedness of the evolutionary landscape. The probability that a crossover between a pair of viable sequences results in viable sequences is an order of magnitude higher than random, implying that a sequence's overall propensity to encode uniquely is embodied partially in local signals. Consistent with this observation, certain hydrophobicity patterns are significantly more favored than others among fragments (i.e., subsequences) of sequences that encode uniquely, and examples reminiscent of autonomous folding units in real proteins are found. The number of structures explored by both crossovers and point mutations is always substantially larger than that via point mutations alone, but the corresponding numbers of sequences explored can be comparable when the evolutionary landscape is rugged. Efficient structural exploration requires intermediate nonextreme ratios between point-mutation and crossover rates.crossovers ͉ neutral nets ͉ sequence space ͉ thermodynamic stability ͉ lattice protein models I t is widely recognized that key events in evolution may involve large-scale genomic rearrangements (1-6). Experiments on plants suggest that dramatic restructuring of the genome in response to traumas may underlie formations of many new species (1). The presence of introns in the genes of higher organisms implies that even a single base change can result in the deletion or insertion of whole sequences in the protein product (2). It has been argued that cellular ''natural genetic engineering'' machineries have evolved to modulate genomic reorganization in lower organisms (3). Moreover, certain peculiarities in present-day genomes and cellular organizations may be explained best by ''lateral'' or ''horizontal'' transfers in the past (4, 5). Indeed, it is large-scale genomic rearrangements rather than the accumulation of point mutations that bear the main responsibility for the alarmingly quick emergence of bacterial antibiotic resistance.Therefore, to capture evolutionary complexities better, theoretical perspectives that focus exclusively on point mutations should be augmented to include other types of sequence transformations. Such efforts would benefit the development of in vitro evolution for protein engineering (7-9) as well. In a ...