Science Watch® - Tracking Trends and Performance in Basic Research
May/June 2005


For Genomic Insights, It’s the Rat, by More Than a Nose
by Jeremy Cherfas
WHAT'S HOT IN BIOLOGY
Rank      Paper Citations This Period (Nov-Dec 04) Rank Last Period (Sep-Oct 04)
1 M. Zuker, et al., "Mfold web server for nucleic acid folding and hybridization prediction," Nucl. Acids Res., 31(13): 3406-15, 1 July 2003. [Rensselaer Polytech. Inst., Troy, NY] *695LT 36 2
2 Schwede, et al., "SWISS-MODEL: an automated protein homology-modeling server," Nucl. Acids Res., 31(13): 3381-5, 1 July 2003. [U. Basel, Switzerland; Swiss Inst. Bioinformatics, Basel; Novartis AG, Basel; GlaxoSmithKline, Research Triangle Park, NC] *695LT 35 8
3 R.S. Kamath, et al., "Systematic functional analysis of the Caenorhabditis elegans genome using RNAi," Nature, 421(6920): 231-7, 16 January 2003. [Wellcome Trust, Cambridge, U.K.; EMBL-Europ. Bioinformatics Inst., Cambridge; U. Salamanca, Spain] *635KG 34
4 K.N. Ferreira, et al., "Architecture of the photosynthetic oxygen-evolving center," Science, 303(5665): 1831-8, 19 March 2004. [Imperial Coll., London, U.K.; Japan Sci. Tech. Corp., Nagatsuta] *804EI 34
5 R.A. Gibbs, et al. (Rat Genome Sequencing Project Consort.), "Genome sequence of the Brown Norway rat yields insights into mammalian evolution," Nature, 428(6982): 493-521, 1 April 2004. [40 institutions worldwide] *807ZT 32
6 B. Boeckmann, et al., "The SWISS-PROT protein knowledgebase and its supplement TrEMBL in 2003," Nucl. Acids Res., 31(1): 365-70, 1 January 2003. [Swiss Inst. Bioinformatics, Geneva; EMBL-Europ. Bioinformatics Inst., Cambridge, U.K.] *647EP 31 7
7 N. Kamiya, J.-R. Shen, "Crystal structure of oxygen-evolving photosystem II from Thermosynechococcus vulcanus at 3.7-Å resolution," PNAS, 100(1): 98-103, 7 January 2003. [RIKEN Harima Inst., Hyogo, Japan] *633WG 30
8 Y.-X. Jiang, et al., "X-ray structure of a voltage-dependent K+ channel," Nature, 423(6935): 33-41, 1 May 2003. [Howard Hughes Med. Inst., Rockefeller U., New York, NY] *673CG 25
9 W.-K. Huh, et al., "Global analysis of protein localization in budding yeast," Nature, 425(6959): 686-91, 16 October 2003. [U. Calif. San Francisco, Howard Hughes Med. Inst., San Francisco, CA] *732DA 25
10 D.A. Rubinson, et al., "A lentivirus-based system to functionally silence genes in primary mammalian cells, stem cells and transgenic mice by RNA interference," Nature Genetics, 33(3): 401-6, March 2003. [MIT, Cambridge; Free U. Berlin, Germany; Caltech, Pasadena; Biogen Inc., Cambridge, MA] *651GT 24
 SOURCE: ISI’s Hot Papers DatabaseRead  the Legend.

The genome sequence of the laboratory rat, at #5 in the Hot Papers list, is important for two reasons: technical and biological. Taking the easy part first, the Rat Genome Sequencing Project (RGSP) Consortium’s technique combines the best elements of the two previous methods to create a more efficient combined sequencing strategy. Whole genome shotgun (WGS) sequencing blasts the genome into tiny, easily sequenced fragments and then uses brute computing power to put the jigsaw together again. Bacterial artificial chromosome (BAC) sequencing builds a library of considerably longer genome fragments and sequences those, using a variety of clues to assemble the fragments into their correct order. Each has plusses and minuses. WGS is cheap and fast but has difficulties dealing with duplicated regions. BAC is thorough but more expensive and slower.

The RGSP ran two simultaneous tracks. They created a BAC library, without the depth for a fully accurate sequence. And they used this "BAC skim" as bait to fish for the corresponding fragments from the WGS. The combined sequence information allowed the assembly of eBACs, extended BACs, that married the superior speed and cheapness of WGS to the greater assembled accuracy of BACs. The debate between WGS and BAC methods is far from over, and other combined strategies are still being worked on. But the RGSP has shown the way. What of the biology?

The paper title’s cautious claim is that the rat genome "yields insights into mammalian evolution." Indeed it does, which there is barely space to summarize, let alone explore. The mouse genome had already shown that large chunks of sequence are similar between mouse and human. A gene’s immediate neighbors are likely to be the same in both species, although larger stretches of DNA have shifted and shuffled across the chromosomes. Adding the rat sequence to the comparison confirms the overall sequence similarity, or synteny, and showed that most of the differences between human and mouse happened in the rodent line after it had split from the human line.

Looking in detail at the shared genes among the three species revealed some surprises. The rat showed evidence of recent duplications in several gene families. These duplications are important because they allow genes to evolve in different directions, giving natural selection additional raw material to work on. When it comes to smell, for example, rat and mouse are obviously more dependent on their noses than are humans. That is reflected in the genes. Rodents have far more olfactory receptor genes than humans do. But surprisingly, rats have far more than mice. These additional genes seem to be the result of a recent burst of gene duplication in the ancestor of the rat after it had split from the mouse.

Another area where the rat seems to have evolved more rapidly than mouse and human is in detoxification. The cytochrome P450 gene family, which codes for enzymes that metabolize many toxic compounds, is considerably larger in the rat. One subfamily, for example, contains eight members in the rat, four in mice, and just one in humans. Given that rats so often substitute for humans in studies of pharmacology and toxicity, and that cytochrome P450 is such an important element of so many pharmacological pathways, this may give researchers pause for thought.

The use of rats in biomedical and physiological research is boosted by genome analysis. Of more than 1,100 genes associated with human diseases, almost 80% were predicted by a database program to have direct one-to-one corresponding rat genes. Careful human inspection of the remainder left only six human-disease genes that did not have a rat counterpart. This knowledge will speed the creation of better rat models to investigate human diseases.

The mutation rate of different disease genes showed that some kinds of disease are under different selection pressure. Mutations can be either silent, making no change to the protein for which the gene codes, or active, changing the protein. The ratio of active to silent mutations is a measure of the strength of selection to keep the genome stable. Neurological and malformation diseases were most alike between rat and human, while pulmonary, hematological, and immune-system diseases were most different. The suggestion is that immune-system genes evolved rapidly to cope with the pressure of rat-specific pathogens and therefore may be of less relevance to human immune system genes.

These are just a few of the insights. The published paper has been highly cited. And in it the authors note that online access to the data increased over the life of the project, as did rat genomic studies. More insights are sure to follow.end

Dr. Jeremy Cherfas is Science Writer at the
International Plant Genetic Resources Institute, Rome.

View the top 10 scientists and/or top 3 Hot Papers in Biology & Biochemistry; for the period of January 1, 1994-December 31, 2004.
Science Watch®, May/June 2005, Vol. 16, No. 3
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