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Perry  CT  Kench  PS  Smithers  SG  Riegl  BR  Gulliver  P  Daniells  JJ 《Coral reefs (Online)》2017,36(3):1013-1021

Low-lying coral reef islands are considered highly vulnerable to climate change, necessitating an improved understanding of when and why they form, and how the timing of formation varies within and among regions. Several testable models have been proposed that explain inter-regional variability as a function of sea-level history and, more recently, a reef platform size model has been proposed from the Maldives (central Indian Ocean) to explain intra-regional (intra-atoll) variability. Here we present chronostratigraphic data from Pipon Island, northern Great Barrier Reef (GBR), enabling us to test the applicability of existing regional island evolution models, and the platform size control hypothesis in a Pacific context. We show that reef platform infilling occurred rapidly (~4–5 mm yr−1) under a “bucket-fill” type scenario. Unusually, this infilling was dominated by terrigenous sedimentation, with platform filling and subsequent reef flat formation complete by ~5000 calibrated years BP (cal BP). Reef flat exposure as sea levels slowly fell post highstand facilitated a shift towards intertidal and subaerial-dominated sedimentation. Our data suggest, however, a lag of ~1500 yr before island initiation (at ~3200 cal BP), i.e. later than that reported from smaller and more evolutionarily mature reef platforms in the region. Our data thus support: (1) the hypothesis that platform size acts to influence the timing of platform filling and subsequent island development at intra-regional scales; and (2) the hypothesis that the low wooded islands of the northern GBR conform to a model of island formation above an elevated reef flat under falling sea levels.

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There is increasing interest in the use of molecular genetic data to infer genealogical relationships among individuals in the absence of parental information. Such analyses can provide insight into mating systems and estimations of heritability in the wild. In addition, accurate pedigree reconstruction among the founders of endangered populations being reared in captivity would be invaluable. Many breeding programs for endangered species attempt to minimize loss of genetic variation and inbreeding through strategies designed to minimize global co-ancestry, but they assume a lack of relatedness among the founders. Yet populations that are the target of such programs are generally in serious demographic decline, and many of the available founders may be closely related. Here we demonstrate determination of full and half-sib relationships among the wild founders of a captive breeding program involving two endangered Atlantic salmon populations using two different approaches and associated software, pedigree and colony. A large portion of the juveniles collected in these two rivers appear to be derived from surprisingly few females mating with a large number of males, probably small precocious parr. Another group of potential founders, obtained from a local hatchery, clearly originated from a small number of full-sib crosses. These results allowed us to prioritize individuals on the basis of conservation value, and are expected to help minimize loss of genetic variation through time. In addition, insight is provided into the number of contributing parents and the mating systems that produced this last generation of endangered wild Atlantic salmon.  相似文献   
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Background

The NCBI Entrez Gene and PubMed databases contain a wealth of high-quality information about genes for many different organisms. The NCBI Entrez online web-search interface is convenient for simple manual search for a small number of genes but impractical for the kinds of outputs seen in typical genomics projects.

Results

We have developed an efficient open source tool implemented in Python called Annokey, which annotates gene lists with the results of a keyword search of the NCBI Entrez Gene database and linked Pubmed article information. The user steers the search by specifying a ranked list of keywords (including multi-word phrases and regular expressions) that are correlated with their topic of interest. Rank information of matched terms allows the user to guide further investigation.We applied Annokey to the entire human Entrez Gene database using the key-term “DNA repair” and assessed its performance in identifying the 176 members of a published “gold standard” list of genes established to be involved in this pathway. For this test case we observed a sensitivity and specificity of 97% and 96%, respectively.

Conclusions

Annokey facilitates the identification of genes related to an area of interest, a task which can be onerous if performed manually on a large number of genes. Annokey provides a way to capitalize on the high quality information provided by the Entrez Gene database allowing both scalability and compatibility with automated analysis pipelines, thus offering the potential to significantly enhance research productivity.
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