School of Botany - Research Publications
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ItemHeuristic and optimal solutions for set-covering problems in conservation biology(Wiley, 2003-10-01)Area‐selection methods have recently gained prominence in conservation biology. A typical problem is to identify the minimum number of areas required to represent all species over some geographic region. Iterative heuristic methods have been developed by conservation scientists to solve these problems, although the solutions cannot be guaranteed to be optimal. Although optimal solutions can often be found, heuristics continue to be popular as they are perceived to be faster and more transparent as they are intuitively easy to understand. We used distributional data for 1921 bird species, 939 mammal species, 405 snake species, and 617 amphibian species compiled at the Zoological Museum, Univ. of Copenhagen for all 1° cells of mainland sub‐Saharan Africa to compare the quality of the solutions found using two heuristic methods (simple‐greedy algorithm and a progressive‐rarity algorithm) with optimal solutions. We found that the heuristic methods considered here often provide solutions as good as optimal solutions. Even in those cases where the optimal solutions were better the difference was relatively small, with the heuristics providing solutions requiring a 2–10% increase in area selected compared with the optimal solution, which importantly, represented an increase of <1% of the total area. Our study also suggests that the heuristic algorithms performed least well for datasets with few single cell endemics and taxa that tend to have larger range sizes. Despite the good quality of solutions using heuristics there was no time penalty associated with finding optimal solutions for the problems considered here, suggesting that the major obstacle to their use is making optimal methods accessible to conservation biologists. We encourage conservation biologists to work with operations researchers and so gain the benefit of their expertise and experience in solving these kinds of problems.
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ItemPerformance of sub-Saharan vertebrates as indicator groups for identifying priority areas for conservation(Wiley, 2003-02-01)Abstract: The aim of continental and global identification of priority areas for conservation is to identify particularly valuable areas for conservation on which to focus more‐detailed effort. Often, these sets of important areas, referred to as priority sets, have been identified through use of data on a single taxon (e.g., birds), which is assumed to act as an indicator for all biodiversity. Using a database of the distributions of 3882 vertebrate species in sub‐Saharan Africa, we conducted one of very few large‐scale tests of this assumption. We used six potential indicator groups—birds, mammals, amphibians, snakes, threatened birds, and threatened mammals—to find priority sets of 200 areas that best represent the species in that group. Priority sets of grid cells designed to maximize representation of a single indicator group captured 83–93% of species in the other groups. This high degree of representation is consistent with observed high levels of overlap in the patterns of distribution of species in different groups. Those species of highest conservation interest were more poorly represented, however, with only 75–88% of other groups' threatened species and 63–76% of other groups' narrow‐range species represented in the priority sets. We conclude that existing priority sets based on indicator groups provide a pragmatic basis for the immediate assessment of priorities for conservation at a continental scale. However, complete and efficient representation—especially of narrow‐range species—will not be achieved through indicator groups alone. Therefore, priority‐setting procedures must remain flexible so that new areas important for other taxa can be incorporated as data become available.
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ItemProperties and prediction of mitochondrial transit peptides from Plasmodium falciparum(ELSEVIER, 2003-12)A neural network approach for the prediction of mitochondrial transit peptides (mTPs) from the malaria-causing parasite Plasmodium falciparum is presented. Nuclear-encoded mitochondrial protein precursors of P. falciparum were analyzed by statistical methods, principal component analysis and supervised neural networks, and were compared to those of other eukaryotes. A distinct amino acid usage pattern has been found in protein encoding regions of P. falciparum: glycine, alanine, tryptophan and arginine are under-represented, whereas isoleucine, tyrosine, asparagine and lysine are over-represented compared to the SwissProt average. Similar patterns were observed in mTPs of P. falciparum. Using principal component analysis (PCA), mTPs from P. falciparum were shown to differ considerably from those of other organisms. A neural network system (PlasMit) for prediction of mTPs in P. falciparum sequences was developed, based on the relative amino acid frequency in the first 24 N-terminal amino acids, yielding a Matthews correlation coefficient of 0.74 (90% correct prediction) in a 20-fold cross-validation study. This system predicted 1177 (22%) mitochondrial genes, based on 5334 annotated genes in the P. falciparum genome. A second network with the same topology was trained to give more conservative estimate. This more stringent network yielded a Matthews correlation coefficient of 0.51 (84% correct prediction) in a 10-fold cross-validation study. It predicted 381 (7.1%) mitochondrial genes, based on 5334 annotated genes in the P. falciparum genome.
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ItemProcessing of an apicoplast leader sequence in Plasmodium falciparum and the identification of a putative leader cleavage enzyme(AMER SOC BIOCHEMISTRY MOLECULAR BIOLOGY INC, 2002-06-28)The plastid (apicoplast) of the malaria-causing parasite Plasmodium falciparum was derived via a secondary endosymbiotic process. As in other secondary endosymbionts, numerous genes for apicoplast proteins are located in the nucleus, and the encoded proteins are targeted to the organelle courtesy of a bipartite N-terminal extension. The first part of this leader sequence is a signal peptide that targets proteins to the secretory pathway. The second, so-called transit peptide region is required to direct proteins from the secretory pathway across the multiple membranes surrounding the apicoplast. In this paper we perform a pulse-chase experiment and N-terminal sequencing to show that the transit peptide of an apicoplast-targeted protein is cleaved, presumably upon import of the protein into the apicoplast. We identify a gene whose product likely performs this cleavage reaction, namely a stromal-processing peptidase (SPP) homologue. In plants SPP cleaves the transit peptides of plastid-targeted proteins. The P. falciparum SPP homologue contains a bipartite N-terminal apicoplast-targeting leader. Interestingly, it shares this leader sequence with a Delta-aminolevulinic acid dehydratase homologue via an alternative splicing event.
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ItemDissecting apicoplast targeting in the malaria parasite Plasmodium falciparum(AMER ASSOC ADVANCEMENT SCIENCE, 2003-01-31)Transit peptides mediate protein targeting into plastids and are only poorly understood. We extracted amino acid features from transit peptides that target proteins to the relict plastid (apicoplast) of malaria parasites. Based on these amino acid characteristics, we identified 466 putative apicoplast proteins in the Plasmodium falciparum genome. Altering the specific charge characteristics in a model transit peptide by site-directed mutagenesis severely disrupted organellar targeting in vivo. Similarly, putative Hsp70 (DnaK) binding sites present in the transit peptide proved to be important for correct targeting.
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ItemCyanogenic polymorphism as an indicator of genetic diversity in the rare species Eucalyptus yarraensis (Myrtaceae)(CSIRO PUBLISHING, 2002)The rare Australian tree Eucalyptus yarraensis Maiden & Cambage is cyanogenic, a quantitative trait potentially indicative of genetic diversity. Cyanogenic plants are capable of releasing cyanide from endogenous cyanide-containing compounds. Cyanide is toxic or deterrent to generalist or non-adapted specialist herbivores. Consequently, cyanogenic plants are afforded an effective means of chemical defense. In this paper we characterize quantitative variation in cyanogenic capability, known as cyanogenic polymorphism, in E. yarraensis for the first time. We show that the cyanogenic glucoside prunasin (R-mandelonitrile-β-D-glucoside) is the only cyanogenic compound in E. yarraensis foliage. We also show that two natural populations of E. yarraensis display extensive intra- and inter-population variation in foliar prunasin concentration. The high prunasin concentrations reported in this paper represent the highest yet recorded for mature eucalypt leaves. The cyanogenic variation could not be attributed to measured physical and chemical parameters, supporting the hypothesis that the variation is genetically based. A preliminary progeny trial also supports this hypothesis, with narrow sense heritability estimated at 1.17 from three half-sibling families. The variation in cyanogenic capability may be a useful tool in the development of a conservation strategy for the species.