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一种针对果蝇基因组完整基因内容的综合基因注释和转录谱分析方法。

An integrated gene annotation and transcriptional profiling approach towards the full gene content of the Drosophila genome.

作者信息

Hild M, Beckmann B, Haas S A, Koch B, Solovyev V, Busold C, Fellenberg K, Boutros M, Vingron M, Sauer F, Hoheisel J D, Paro R

机构信息

Zentrum für Molekulare Biologie Heidelberg, University of Heidelberg, Im Neuenheimer Feld 282, 69120 Heidelberg, Germany.

出版信息

Genome Biol. 2003;5(1):R3. doi: 10.1186/gb-2003-5-1-r3. Epub 2003 Dec 22.

Abstract

BACKGROUND

While the genome sequences for a variety of organisms are now available, the precise number of the genes encoded is still a matter of debate. For the human genome several stringent annotation approaches have resulted in the same number of potential genes, but a careful comparison revealed only limited overlap. This indicates that only the combination of different computational prediction methods and experimental evaluation of such in silico data will provide more complete genome annotations. In order to get a more complete gene content of the Drosophila melanogaster genome, we based our new D. melanogaster whole-transcriptome microarray, the Heidelberg FlyArray, on the combination of the Berkeley Drosophila Genome Project (BDGP) annotation and a novel ab initio gene prediction of lower stringency using the Fgenesh software.

RESULTS

Here we provide evidence for the transcription of approximately 2,600 additional genes predicted by Fgenesh. Validation of the developmental profiling data by RT-PCR and in situ hybridization indicates a lower limit of 2,000 novel annotations, thus substantially raising the number of genes that make a fly.

CONCLUSIONS

The successful design and application of this novel Drosophila microarray on the basis of our integrated in silico/wet biology approach confirms our expectation that in silico approaches alone will always tend to be incomplete. The identification of at least 2,000 novel genes highlights the importance of gathering experimental evidence to discover all genes within a genome. Moreover, as such an approach is independent of homology criteria, it will allow the discovery of novel genes unrelated to known protein families or those that have not been strictly conserved between species.

摘要

背景

虽然现在已有多种生物的基因组序列,但所编码基因的确切数量仍存在争议。对于人类基因组,几种严格的注释方法得出了相同数量的潜在基因,但仔细比较后发现重叠有限。这表明只有将不同的计算预测方法与对这类计算机模拟数据的实验评估相结合,才能提供更完整的基因组注释。为了更全面地了解黑腹果蝇基因组的基因组成,我们基于伯克利果蝇基因组计划(BDGP)注释与使用Fgenesh软件进行的一种新的较低严格度的从头基因预测相结合,构建了我们新的黑腹果蝇全转录组微阵列——海德堡果蝇阵列。

结果

在此,我们为Fgenesh预测的大约2600个额外基因的转录提供了证据。通过逆转录聚合酶链反应(RT-PCR)和原位杂交对发育谱数据进行验证,结果表明新注释的下限为2000个,从而大幅增加了构成果蝇的基因数量。

结论

基于我们整合的计算机模拟/湿生物学方法成功设计并应用这种新型果蝇微阵列,证实了我们的预期,即仅靠计算机模拟方法往往是不完整的。鉴定出至少2000个新基因凸显了收集实验证据以发现基因组中所有基因的重要性。此外,由于这种方法独立于同源性标准,它将有助于发现与已知蛋白质家族无关或在物种间未严格保守的新基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86d1/395735/c3ba81910d10/gb-2003-5-1-r3-1.jpg

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