the human genome
DESCRIPTION
The Human Genome. The International Human Genome Consortium Initial sequencing and analysis of the human genome Nature, 409, February 15, 860-921 (2001) Venter et al. (Celera) The Sequence of the Human Genome Science, 291, February 16, 1304-1351 (2001). HC LEE January 8, 2002 - PowerPoint PPT PresentationTRANSCRIPT
The Human GenomeThe International Human Genome ConsortiumInitial sequencing and analysis of thehuman genomeNature, 409, February 15, 860-921 (2001)
Venter et al. (Celera)The Sequence of the Human GenomeScience, 291, February 16, 1304-1351 (2001)
HC LEE January 8, 2002Computational Biology Lab National Central University
1984 to 1986 – first proposed at US DOE meetings
1988 – endorsed by US National Research Council - creation of genetic, physical and sequence maps of the human genome- parallel efforts in key model organisms: bacteria, yeast, worms, flies and mice; - develop of supporting technology- ethical, legal and social issues (ELSI) 1990 – Human Genome Project (NHGRI)
Later – UK, France, Japan, Germany, China
Time-line large scale genomic analysis
Completed sequences1995 – First complete bacterial genomes2002 – About 35 bacterial genomes; 0.5-5 Mb; hundreds to 2000 genes1996 April – Yeast (Saccharomyces cerevisiae) 12 Mb, 5,500 genes1998 Dec. -Worm (Caenorhabditis elegans) 97 Mb, 19,000 genes2000 March - Fly (Drosophila melanogaster) 137 Mb, 13,500 genes2000 Dec. - Mustard (Arabidopsis thaliana) 125 Mb, 25,498 genes 2000 June – Human (Homo sapiens) 1st rough draft2001 Feb 15/16 – Human, “working draft” 3000 Mb, 35,000~40,000 genes
IHGCS paper
Nature, 409, February 15, 860-921 (2001)
Celera paper
Science, 291, February 16, 1304-1351 (2001)
Sequencing
BAC: Bacterial Artificial Chromosome clone
Contig: joined overlapping collection of sequences or clones.
C-value paradoxC-value paradox: Genome size does not correlate well with organismal complexity.
Human Homo sapiens 3000 MbYeast S. cerevisiae 12 Mb Amoeba dubia 600,000 Mb
Genomes can contain a large quantity of repetitive sequence, far in excess ofthat devoted to protein-coding genes
Global properties
• Pericentromeric and subtelomeric regions of chromosomes filled with large recent transposable elements
• Marked decline in the overall activity of transposable elements or transposons
• Male mutation rate about twice female – most mutation occurs in males
• Recombination rates much higher in distal regions of chromosomes and on shorter chromosome arms– > one crossover per chromosome arm in each m
eiosis
Important features of Human proteome
• 30,000–40,000 protein-coding genes• Proteome (full set of proteins) more comple
x than those of invertebrates.– pre-existing components arranged into a r
icher architectures.• Hundreds of genes seem to come from horiz
ontal transfer from bacteria• Dozens of genes seem to come from transpo
sable elements.
Human proteome is complex
• Gene codes proteins (also RNAs)
• Number of genes does not reflect complexity of organism
Org’nism no. genes no. proteins
Worm 20,000 ~20,000 Fly 13,500 >>20,000 Human ~40,000 >>100,000
Human genome content The Human Genome
Total length 3000 Mb~ 40,000 genes (coding seq)
Gene sequences < 5% Exons ~ 1.5% (coding) Introns ~ 3.5% (noncoding)
Intergenic regions (junk) > 95%
Repeats > 50%
Gene codes proteins (also RNAs)
Procaryotes (single cell): one gene, one proteinEucaryote (multicell): gene = intron + exon; one gene, many proteins
(transcription & translation)
Fig 35a
Size distributions of exons in Human, Worm and Fly. Human have shorter exons.
Fig 35cSize distributions of intons in Human, Worm and Fly. Human have longer introns.
Fig 35b
Gene recognition
• Coding region and non-coding region have different sequence profiles – coding region is “protected” from mutation and
is less random
• Gene recognition by sequence alignment• Gene prediction by Hidden Markov Model t
rained by set of known genes• Many genes are homologs – similar in vastl
y different organisms
Gene recog’n difficult for Human
• Easy for procaryotes (single cell) – one gene, one protein
• More difficult for eukaryotes (multicell) – one gene, many proteins
• Very difficult for Human – short exons separated by non-coding long introns
Genes predicted in Human Genome
Int’l Consortium Celera
known genes 14,882 17,764novel genes 16,896 21,350
Total 31,778 39,114
Two predictions disagree
John B. Hogenesch, et alCell, Vol. 106, 413–415August 24, 2001
“…predicted transcripts collectively contain partial matches to nearly all knowngenes, but the novel genes predicted by both groups are largely non-overlapping.”
Global properties with evolutionary implications
• Long-range variation in GC content not random
• CpG islands protected by genes
• Genetic and physical distance non-linear
• > 50% genome composed of repeats
Standard deviation
15 times wider than random distr
ib’n
GC-rich and GC-poor regions have different biological properties, such as gene density, composition of repeat sequences, correspondence with cytogenetic bands and recombination rate.
GC content is correlated with coding regions
GC content in introns (exons) vs introns (exons) length.
Fig 14 CpG islands
CpG islands and genes are correlated.
CpG dinucleotides are methylated; methyl-CpG steadily
mutate to TpG. Hence CpG is greatly under-represented
in human DNA. Except in CpG islands near genes.
Fig 15 recomb rate (distal)Recombination rate vs Physical position from centromere of genes. Ratehigher in distal regions.
Fig 16 recomb rate (short arm)Recombination rate higher on shorter chromosome arms
The genome mutates and copies itself
• 50%, probably much more, of genome composed of repeats – Many traces of repeats obliterated by mutation– Lower organisms may have longer genomes
• Five types of repeats– transposable elements; processed pseudogenes;
simple k-mer repeats; segmental duplications (10-300 kb); (large) blocks of tandemly repeated sequences
Fig 17 transposables
Classes of transposable elements. LINE, long interspersed element. SINE short interspersed element.
Total 45%
Interspersed repeats: fixed transposable elements copied to non-homologous regions.
Fig 21
Two regions of about 1 Mb on chromosomes 2 and 22. Red bars, interspersed repeats; blue bars, exons of known genes. Note the deficit of repeats in the HoxD cluster, which contains a collection of genes with complex, interrelated regulation.
Genes are sometimes protected from repeats
Tab 14 SSR content Simple sequence (k-mers) repeats: SSR
Fig 32b
Mosaic patterns of duplications. For each region top horizon line: segment of sequence (100–500 kb) with interchromosomal (red) and intrachromosomal (blue) duplications displayed. Lower lines with a distinct colours: separate sequence duplication. y axis: per cent nucleotide identity.
b. An ancestral region from Xq28 that has contributed various 'genic' segments to pericentromeric regions.
Fig 30
Fig 32a
An active pericentromeric region on chromosome 21.
Fig 32c
c. A pericentromeric region from chromosome 11.
Fig 32d
d. A subtelomeric region from chromosome 7p.
Fig 33
Finished HG has 1.5% interchromosomal 2% intrachromosomal segmental duplications. The duplications are 10–50 kb long and highly homologous. Structure in similarity may indicate that interchromosomal duplications occurred in a punctuated manner.
Human Proteome
• Number of human genes (~40,000) only twice that of worm or fly
• Many more transcripts (combination of exons in one gene)
• Many more proteins, perhaps >> 100,000• Most proteins are still homologs of non-human pr
oteins• Homologs (from a common ancestor gene)
– orthologs – derived through speciation– paralogs: derived through duplication
Completed eukaryotic proteomes
Human Fly Worm Yeast Mustard weed
Identified genes 32,000 13,338 18,266 6,144 25,706 Annotateddomain families 1,262 1,035 1,014 861 1,010Distinct domain architectures 1,695 1,036 1,018 310 -
Functional categories of eukaryote proteomes
Fig 38 distribution of homologs
Distribution of homologues of predicted human proteins
Simplified cladogram (relationship tree) of the 'many-to-many' relationships of classical nuclearreceptors. Triangles indicate expansion within one lineage; bars represent single members. Numbers inparentheses indicate the number of paralogues in each group.
Fig 42 domain accretion
Domain accretion in chromatin proteins in various lineages before the animal divergence, in the apparent coelomate lineage and the vertebrate lineage are shown using schematic representations of domain architec-tures (not to scale). Asterisks, mobile domains that have participated in theaccretion. Species in which a domain architecture has been identified are indicated (Y, yeast; W, worm; F, fly; V, vertebrate).
Fig 45 domain expansion
Lineage-specific expansions of domains and architectures of transcription factors
Conserved segments in human and mouse genome
Colour code: Mouse genome
Applications to medicine and biology
• Disease genes– human genomic sequence in public databases allo
ws rapid identification of disease genes in silico
• Drug targets– pharmaceutical industry has depended upon a limi
ted set of drug targets to develop new therapies– now can find new target in silico
• Basic biology– basic physiology, cell biology…
The next steps
• Finishing the human sequence• Developing the IGI (integrated gene index)
and IPI (protein)• Large-scale identification of regulatory
regions• Sequencing of additional large genomes
– mouse, super-rice, pig, fish…
• Completing the catalogue of human variation– Single nucleotide polymorphism– nasal and throat cancer…
• From sequence to function