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This result demonstrates that diagnosis of CaP by molecular data alone is feasible.
This study provided a first comprehensive phylogenetic analysis of Chrysomelidae based on molecular data alone.
Despite a number of previous attempts to partition the vast array of phenotypic variation within this species [11], [13] [17], [27], [37], [38], inclusion of all described phenotypes account for only 71% (AMOVA) and 69% (MMR) of the variance in the CR data (Table 1), and more variation can be explained using the molecular data alone.
When a symbiont group is already well described, the presence of that symbiont is frequently based on molecular data alone, even when it is detected in new hosts.
Finally, despite the promise of these improvements to molecular phylogenetic studies, the evolution of green plants cannot be understood from molecular data alone.
Our analyses do not support such a clade, nor do other analyses of molecular data alone [ 17- 20], or analyses of combined molecular and morphological data [ 19].
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This could suggest that EphA2ΔS-GFP and EphA2ΔKS-GFP have larger dimeric fraction compared to EphA2FL-GFP or possibly form higher order oligomers, but as we mentioned above, molecular brightness data alone is unable to rigorously quantify the exact size of oligomer.
On the basis of molecular subtyping data alone, as many as 31% of the listeriosis cases may have represented clusters.
In fact, this group shares several synapomorphies (Beutel and Pohl 2006) but most topologies derived from molecular sequence data alone do not recover this clade at all (Whiting et al. 1997; Wheeler et al. 2001; Misof et al. 2007; von Reumont et al. 2009; Meusemann et al. 2010) or only with low support (Kjer 2004; Ishiwata et al. 2010; Simon et al. 2010).
Besides sampling effort, we explored the behavior of the new molecular data when analyzed alone and combined with different morphological matrices and under different analytical approaches.
This study highlights the need for an integrative and iterative approach to species delimitation and further makes the point that molecular data are insufficient when interpreted alone.
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dna data alone
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