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Emerging transferable learning with potential relevance for adaptation planning in other cities and urban areas is drawn out to inform this rapidly emerging international agenda.
Genome variability generates phenotypic heterogeneity and is of relevance for adaptation to environmental change, but the extent of such variability in natural populations is still poorly understood.
Hence, there are strong indications that also the genomic region on LG4 has relevance for adaptation to the low saline conditions in the Baltic Sea.
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It is argued that these findings have relevance for local adaptation of policies, both to liaise more effectively with sections of the farming community, and to achieve better uptake patterns at the landscape scale.
Two HTRs appeared of special relevance for cheese adaptation.
This finding shows that Csp1 is the most abundant of the six cold-shock proteins, denoting its relevance for cell adaptation to cold.
Combined, these results indicate that the outliers on LG2 are of particular relevance for the adaptation to the low saline conditions in the Baltic Sea.
Further investigation of those strains showed a high phenotypic variability for both symbiotic and nonsymbiotic phenotypes (Biondi et al. 2009); however, their relevance for environmental adaptation is still unknown.
For example, approaches such as genomewide scans for selection, association mapping or quantitative trait loci (QTL) mapping can pinpoint loci of relevance for local adaptation of the target population (Steiner et al. 2013), with the potential to conserve evolutionary processes – a long sought after goal in conservation biology (Crandall et al. 2000; Fraser and Bernatchez 2001).
Our study, even though it uncovers generic features of genotype-phenotype maps with demonstrated relevance for evolutionary adaptation and innovation in other biological systems [ 7, 23], is thus best viewed as a modest beginning in characterizing a complex metabolic genotype space.
In a companion paper [4], we have shown the relevance of adaptation for efficient coding through in the R-LMC-R system.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com