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Science 20 December 1996:
Vol. 274. no. 5295, pp. 2069 - 2074
DOI: 10.1126/science.274.5295.2069

Reports

Functional Analysis of the Genes of Yeast Chromosome V by Genetic Footprinting

Victoria Smith, Karen N. Chou, Deval Lashkari, David Botstein, Patrick O. Brown *

Genetic footprinting was used to assess the phenotypic effects of Ty1 transposon insertions in 268 predicted genes of chromosome V of Saccharomyces cerevisiae. When seven selection protocols were used, Ty1 insertions in more than half the genes tested (157 of 268) were found to result in a detectable reduction in fitness. Results could not be obtained for fewer than 3 percent of the genes tested (7 of 268). Previously known mutant phenotypes were confirmed, and, for about 30 percent of the genes, new mutant phenotypes were identified.

V. Smith and K. N. Chou, Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305, USA.
D. Lashkari and D. Botstein, Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
P. O. Brown, Howard Hughes Medical Institute and Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305, USA.
*   To whom correspondence should be addressed. E-mail: pbrown{at}cmgm.stanford.edu


The completion of the sequences of the genomes of several microorganisms is a watershed for the new science of genomics. The next important challenge is to determine, in an efficient and reliable way, something about the function of each gene in these genomes. The 12,057-kb nonrepetitive portion of the S. cerevisiae genome--the first completely sequenced eukaryotic genome--contains 6000 to 6500 predicted genes, of which fewer than half had previously been known. A still smaller fraction of the genes of yeast have been characterized experimentally with respect to biological function; indeed, previous work suggested that disruption of yeast genes resulted in a readily discernible phenotype only about 30% of the time (1). Here, we describe the results of genetic footprinting (2) as applied to 268 predicted protein-coding genes on chromosome V of S. cerevisiae (3).

We subjected a large population of haploid yeast cells (sim 1011 cells) to mutagenesis by transiently inducing transposition of a marked Ty1 transposable element. DNA was extracted from a portion of this culture (the "time-zero" DNA). Other representative samples of this population were subjected to one of several selections (Table 1). DNA was extracted from the cells recovered after each selection. The presence and relative abundance of cells carrying Ty1 insertions within a gene of interest was assessed for each of these samples by means of a polymerase chain reaction (PCR) (2). In general, for each gene, we surveyed a minimum of 500 to 900 base pairs (bp) of coding sequence, along with 400 to 600 bp of upstream sequence. Smaller genes (<700 bp) were analyzed in their entirety, along with several hundred base pairs of sequence flanking the start and stop codons. A growth disadvantage to cells carrying insertions in a gene, under a particular selection, was reflected by the loss or depletion of the PCR products representing those insertions (the "genetic footprint") when DNA samples from the selected population were compared with the time-zero DNA samples. The method not only detects severe growth disadvantages, but also sensitively measures moderate reductions in fitness.

Table 1. Selections used in genetic footprinting analysis. The time points at which DNA samples were isolated correspond to the given numbers of population doublings in each selection after Ty1 mutagenesis. Each gene was analyzed using DNA (1 µg) isolated at a primary time point for each selection; the pattern of PCR products was compared with that obtained with the time-zero DNA sample. Secondary time points were used to confirm potential growth defects or to resolve ambiguities identified by the primary analysis. Analysis of both primary and secondary time points was useful for confirmation of general quantitative growth defects as well as for identification of growth defects in specific selections. As a control to identify any nonspecific PCR products, each gene-specific primer was also used with the Ty1-specific primer for a PCR that used DNA isolated from cells in which Ty1 transposition had not been induced. Ty1 transposition mutagenesis was performed as described (2). At least 4 × 108 cells were transferred to the appropriate medium for each selection, and cell density was maintained at 1 × 105 to 3 × 107 cells per milliliter (or less) over the course of each selection. In some cases, cell density was allowed to reach 5 × 107 to 1 × 108 cells per milliliter for harvesting at the final time point. All selections were performed at 25°C, except high-temperature growth (36.5°C) and mating (30°C). The media for all selections contained 2% glucose, except rich-lactate medium (2% lactate). The pH of the media was sim 5.5. Standard rich medium, with supplements for auxotrophies of the host strain, was used for the rich-medium, lactate, high-temperature, caffeine, and high-salt selections (1% yeast extract, 2% bactopeptone, 0.008% tryptophan, 0.0026% adenine, 0.0022% uracil, and 0.0046% histidine). The medium for the caffeine selection contained, in addition, 6 mM caffeine, and the high-salt selection medium included 0.9 M NaCl. The minimal medium used for selection lacked amino acids and nucleotides, except as required by the auxotrophy of the strain (0.67% yeast nitrogen base, 0.0022% uracil, and 0.0046% histidine). For the mating selection, mutagenized cells (his3 HIS4) were grown in rich-glucose medium for 4 hours, then mixed with a threefold excess of cells of opposite mating type (HIS3 his4), collected on a filter, and incubated on rich-glucose medium at 30°C for 7 hours. Cells were then washed into SC-histidine liquid medium and incubated at 30°C for 16 hours (sim 10 population doublings) to select the HIS+ diploid products of successful mating. To compensate for the presence of the extra haploid genome, we used 2 µg of DNA from the selected diploids for each PCR.


Selection Primary time point (population doublings) Secondary time points (population doublings)

Rich medium 18 5, 12, 15, 23
Rich medium 51 56, 60
Minimal medium 18 10, 15
Rich-lactate medium 18 11
Caffeine 18 12
High temperature 18 10
High salt 10
Mating 15

For each predicted protein-coding sequence on chromosome V, a color was assigned on the basis of whether a particular selection protocol resulted in a perceptible depletion of the PCR products representing insertions in that coding sequence (Fig. 1). Overall, we were able to obtain satisfactory genetic footprinting data for 261 (97%) of the predicted protein-coding genes (4, 5). This total includes six putative genes contained in repeated telomeric sequences (boxed in Fig. 1): cells with mutations in any of these six genes appeared wild type for growth in all selections. However, because a unique priming site was found for only one of these genes, they are excluded from the following discussion. Of the remaining 255 genes, we could detect a phenotype that distinguished the corresponding mutants from wild-type cells for 157 genes (61.6%). For 98 genes (38.4%), Ty1 insertions resulted in a reduction in growth of less than 5 to 10%, or a decrease in mating proficiency (as an alpha ) of less than sim 50%; that is, the mutants were indistinguishable from the wild type for growth or mating, within the sensitivity of our assays.


Fig. 1. Representation of chromosome V incorporating genetic footprinting data. Each box is colored to summarize the results obtained to date from genetic footprinting. Mutant phenotypes: Q1, all selections, <75% population growth rate; Q2, all selections, 75 to 85% population growth rate; Q3, all selections, 85 to <100% population growth rate. Genes in which mutations gave distinctive phenotypes under specific selections are colored according to the selection(s) affected, as follows: M: (dark green),: minimal medium;. L (teal),: lactate medium;. H (orange),: high temperature;. C (brown),: caffeine;. S (yellow),: high salt;. X (light green),: mating;. WT (dark blue),: wild-type for all selections;. NR (grey),: no result, or results too ambiguous to interpret;. and NA (white),: not analyzed. An estimate of the degree of the growth defect for mutants with reduced fitness in specific selections is provided below. For simplicity, the boxes are completely colored, even though for many genes only a portion of the full coding sequence was analyzed (almost always the portion encoding the predicted NH2-terminus of the encoded protein). A minimum of 700 bp was analyzed for each gene, and the full coding sequence of many genes was analyzed. Genes contained in full-length Ty elements were not analyzed. URA3 was not analyzed because the strain used in this study is a ura3-52 mutant. Other white boxes represent solo delta, tau, and sigma elements, and RNA genes. The notes below provide additional information for some genes (possible phenotypes that are too tentative to show on the map, ambiguities, etc.); the genes are identified by their systematic gene number, omitting initial zeros. Where percentage ranges are given, they refer to estimates of the growth rate of the corresponding mutants as a percentage of the growth rate of the population at large. Where the letter representing a specific selection is followed by a hyphen and a number (for example, H-11), the number refers to the number of population doublings for which the mutagenized cells were grown before DNA isolation and PCR analysis.

YEL Series: 3w: small gene, low number of insertions detected, appeared WT. 7w: WT, possibly Q3. 8w: Q3/Q2 specifically in S; this assessment was based on depletion of ~6 detected insertions in this small gene, but quantitative depletion in high salt was reproducible for several independent PCRs. 9c: Q2/Q3 specifically in M. 10w: WT, good target for Ty1 transposition. 12w: WT, good target for Ty1 transposition. 13w: Q3, possibly WT for growth in rich-glucose medium at 25oC, with Q3 specifically in M, L, H, and C. 15w: WT, X data were weak. 16c: Q3, possibly more severe Q in X, NR for S. 17w: WT based on result obtained with two independent primers. However, an intense cluster of peaks was detected in the time-zero DNA by one primer, which allowed an extra 110 bp of 3´ coding sequence to be examined. This cluster was not present in the selected DNAs. This could represent selective depletion of cells carrying mutations in just this portion of the gene, or in an alternative (unrecognized) gene, or it could be an artifact of the PCR. 18w: WT, possibly Q3 in M only. 18ca: NR, insertions were not reproducibly detected within this small coding sequence (159 bp). 22w: WT, X data were weak. 24w: NR, insertions were detected upstream of the ATG, but insertions in the coding sequence were not detected reproducibly. 25c: WT, X data were weak. 26w: NR for X. 27w: Q2, very strong upstream site preference for Ty1 insertion. The Q2 classification is based on a small number of insertions detected in the coding sequence, but the apparent depletion could reflect sampling variability. Thus, possibly Q1 or even WT. 29c: Q2, possibly Q1. 30w: WT, possibly Q3 in H only. 35c: Q2, possibly Q1. 36c: Q1 (possibly Q2) specifically in M, H, and S. Q3 in all other selections, ~95 to 98%. 37c: Q1, possibly Q2. 38w: Q3, ~95 to 98%. 40w: X, C, and rich-medium 51-generation data were slightly weak but probably WT. 43w: Q3, ~95 to 98%. 44w: There was a conflict between the results obtained with two independent gene-specific primers: data obtained with one primer indicated a Q1 growth defect in M only; results with the second primer indicated a Q1 (possibly Q2) growth defect in all selections. Both primed uniquely at YEL044w. 46c: Q1 specifically in M, Q2 (possibly Q1) in all other selections. 49w: WT, time-zero data were weak. The signal throughout the coding sequence was of low intensity: a very strong upstream site preference for Ty1 insertion could cause PCR artifacts. 50c: Q2, possibly Q1 in M and C, specifically. Time-zero data were weak. 51w: Q1, but insertions in the 3´ ~150 bp of coding sequence gave a WT phenotype (tolerated insertions). 52w: Q3, possibly WT. 53c: Q1, possibly Q2. 57c: Q2; however, three or four peaks corresponding to insertions in the coding sequence remained after 51 population doublings. Thus, possibly Q1, with artifact peaks or tolerated insertions. 59w: Q3, possibly Q2. 61c: Q2, possibly Q1. 62w: Q1, possibly Q2, ~70 to 80%. 63c: WT, possibly Q3 or Q2 in rich-media selections. 64c: WT, time-zero data were weak. 65w: NR for H-18 but WT for H-11. 66w: Q2 (possibly WT) specifically in L, with some tolerated 5´ insertions. NR for X, NR for H-18 but WT for H-11. 68c: WT, X data were weak. 71w: WT, X data were weak. 72w: WT, time-zero data were weak, NR for X. 73c: In telomeric repeat. The primer primes at a unique sequence 398 bp upstream of the start ATG. WT, but NR for X. 74w: in telomeric repeat. One primer had a unique nucleotide at the 3´-most position, but did not detect many insertions in the coding sequence. Another primer yielded WT results for all selections, but could prime at homologous telomeric sites in other chromosomes. 75c: In telomeric repeat. The primer could prime at homologous telomeric sites in other chromosomes. NR for X. 76c: In telomeric repeat. The primer could prime at homologous telomeric sites in other chromosomes.

CEN5: No Ty1 insertions were detected in the 154-bp region of conserved centromere sequences. Insertions were detected immediately adjacent to this region, and these insertions did not result in any apparent growth defect.

YER Series: 5w: Q2 interpretation reflects the average of the data, which varied by >10%. 6w: Q1 specifically in M, Q3 in other selections. Possibly Q1/Q2 in H. 7w: WT, possibly Q3. 7ca: Q3, possibly Q2. 12w: Q1, signal corresponding to insertions in the coding sequence was very weak but was detected in the time-zero DNA sample; some insertions were also detected in the rich-medium 5-generation population doubling sample. 13w: Q1, the signal throughout coding sequence was low but was reproducibly detected in the time-zero DNA sample. There was potential for generation of PCR artifacts, due to the strong signal from insertions upstream of the coding sequence. 14w: Q1 specifically in S in one high-salt selection, but Q2 or possibly even WT in a second high-salt selection. Possibly Q3 in H. 15w: S data were weak, but probably WT. 17c: There was a conflict between the results obtained with two independent gene-specific primers. Data obtained using one primer indicated Q1 specifically in L, and Q2 in all other selections except possible Q1 in H; data obtained using the other primer indicated Q3 or WT in all selections. Both primers primed uniquely at this gene. A third primer was uninformative (it generated Ty-independent background). The data obtained with the first primer are consistent with the published data for AFG3 [E. Guelin, M. Rep, L. A. Grivell, Yeast 10, 1389 (1994); M.-F. Paul and A. Tzagoloff, FEBS Lett. 373, 66 (1995)]. 18c: Q1, but several peaks corresponding to insertions in the coding sequence were still observed in the analysis of the rich-medium 51-generation population doubling sample. 19w: WT, but only a few insertions were detected in the coding sequence. 20w: Q1 specifically in C; Q2 in all other selections. Possibly Q1 in S. NR for X. 26c: Q1, but WT specifically in S. There was a strong 5´ site preference for Ty1 insertions, but insertions in the coding sequence were reproducibly detected with two independent primers in time-zero DNA. Both primers confirmed that mutants were resistant to high salt. This phenomenon was also confirmed in two independent high-salt selections: in one selection, the mutants appeared to be growing at the population rate (PCR gave a pattern similar to that observed with the time-zero sample); in the other, the mutants appeared to have a growth advantage (a richer pattern of insertions was detected after selection). 27c: WT, the time-zero PCR gave a richer pattern of PCR products through the coding sequence: analysis of all selected DNAs gave a consistent pattern that supports WT, but the pattern of peaks was less rich. This is consistent with some selection against gal83 mutants during mutagenesis; gal83 mutants would be expected to have a growth disadvantage during the mutagenesis (as galactose is the carbon source) but would be expected to be able to grow as wild-type on the carbon sources used in subsequent selections. 28c: X data were variable, but probably WT. 30w: Q3, possibly Q2. 31c: Q1, possibly Q2, ~70 to 80%. 32w: Q3, possibly Q2. 35w: WT, possibly Q3. 38c: Q3, possibly WT. Time-zero data were weak, NR for X. 45c: WT, S data were weak, NR for C. 47c: Q3, possibly Q2 with tolerated insertions in ~200 bp of coding sequence adjacent to the start ATG. Possibly Q2/Q1 in S. 49w: Q1, possibly Q2. Strong 5´ site preference for Ty1 insertion, but insertions in the coding sequence were reproducibly detected in the time-zero DNA. 50c: WT, X data were weak. 51w: Q3, possibly Q2, NR for X. 52c: Q3, Q2 supported by H, C and S but with weaker signal overall. NR for X. 54c: Q2, possibly Q3. 55c: Q3, possibly Q2. As the yeast strain used in this study is a his3 mutant, histidine was added to all media. 56ca: Q2, the predicted gene product has similarity to ribosomal protein L34e. 59w: Q1, possibly Q2. 60w: Q2, cells not frozen following mutagenesis may be at less of a growth disadvantage, although a growth disadvantage was still apparent. 61c: Q1 specifically in L, Q2 in other selections. 62c: Q3, possibly WT, ~95 to 100%. 63w: Q3, possibly WT, ~95 to 100%. 64c: Q2, possibly Q1. 69w: Q1 specifically in M, Q3 in other selections, ~95 to 97%. 70w: Q1, but insertions appear to be tolerated in the 100 to 200 bp of coding sequence adjacent to the start ATG. 72w: Q1, but Q2 specifically in H and Q3/Q2 specifically in X. 73w: Q3, ~95 to 99%. 74w: Q1, despite the presence of a close homolog on chromosome IX. The primer used primes uniquely at YER074w. 75c: Q3, ~95 to 98%, very strong 5´ site preference for Ty1 insertion. 79w: WT, possibly Q3. 87w: Q1 specifically in L, Q2 in other selections. Possibly Q1 in all selections, but mutants were nonetheless at a greater apparent growth disadvantage in lactate medium. The predicted gene product has similarity to E. coli prolyl tRNA synthetase. 88c: Q3, possibly WT, ~95 to 100%. 89c: Q2, possibly Q1. 90w and 91c: Q1 specifically in M, probably Q3 in other selections, ~95 to 100%. 92w: WT, possibly Q3, rich-51 data were weak. 93c: Q1 specifically in C, Q3 in other selections. 93ca: Q2, but WT specifically in H. This gene is described as being spliced: an alternative possibility is a sequencing or cloning error that introduces a single stop codon at position 178 of an otherwise continuous open reading frame. 95w: Q2, possibly Q1, ~70 to 80%. 97w: WT, unusually good target for Ty1 transposition. 98w: WT, strong 5´ site preferences for Ty1 insertion. 101c: WT, possibly Q3, ~97 to 100%. 102w: Q1, possibly Q2. 107c: Q1 specifically in X, Q3 (possibly Q2) in other selections. The predicted gene product has similarity to BUB3 protein and other GTP-binding regulatory proteins. 108c: Q3, possibly WT. Cells not frozen and thawed following mutagenesis appeared to be at less of a growth disadvantage, possibly WT. 111c: NR, peaks representing Ty1 insertions were not reproducibly detected in the coding sequence. 112w: Q1, possibly Q2 (results using one primer supported Q1, results with a second primer were consistent with Q2). 113c: Q3, depletion was more severe (Q1/Q2) for mutants with insertions in a ~400-bp region adjacent to the primer, in all selected DNAs, relative to the time zero DNA (indicated by a small red box within the box representing this gene). Less depletion was apparent in the next ~300 bp. Analysis with a second primer that primed at a site 133 bp further from the start codon produced weaker data, but confirmed the absence of tolerated insertions in the 3´ portion of the gene after selection. 114c: Q3, possibly Q2. 116c: Q2, possibly Q1. 123w: NR, peaks representing Ty1 insertions were not reproducibly detected in coding sequence. 126c: Q1, numerous peaks corresponding to insertions were detected in the time-zero DNA, but the region of depletion was extensive for all selected DNAs, such that peaks were not always detectable upstream of the coding sequence. Analysis using the Sau3A library DNA as an internal standard confirmed this result was not due to PCR failure. This extensive depletion may reflect the proximity of this gene to an adjacent Q1 gene, YER127w. 128w: WT, possibly Q3. 129w: Q1 specifically in C, Q2 in other selections. 131w: Q2, possibly Q1, Q2 represents the average of the data for all selections. The growth disadvantage of mutant cells was possibly less severe in lactate medium (Q3/WT). For most selections, insertions well upstream of the designated start codon, ~1000 bp, showed depletion, although perhaps to a lesser extent (Q2/Q3), than those in the predicted coding region. As noted by MIPS, YER131w has a potential upstream intron in the 5´ untranslated region. This result may this reflect a growth disadvantage of mutants bearing insertions in the upstream intron, assuming the gene is spliced. In addition, there is a potential (unannotated) gene 544 bp upstream, of length 213 bp, which could account for the observed phenotype of upstream insertions. A third possibility is that important promoter elements might extend unusually far upstream of the coding sequence. This gene has close homolog on chromosome VII, but the primer used here primes uniquely to YER131w. 132c: Q1, but WT/Q3 specifically in X. Strong signal corresponding to Ty1 insertions was detected in the first ~280 bp of coding sequence adjacent to the ATG start codon in all selected DNAs (tolerated insertions). Signal was weak in the time-zero PCR, but peaks corresponding to insertions in the coding sequence were detected across the entire 719-bp region of coding sequence analyzed. A similar signal (eight or nine independent peaks) was detected in the coding sequence on analysis of DNA from the diploid products of successful mating. These data suggest that mutations in this gene (beyond the first 280 bp) confer a Q1 growth disadvantage but allow mating. This gene has strong 5´ site preferences for Ty1 insertion, creating some potential for PCR artifact. R133w: Q1, but the strong 5´ preference for Ty1 insertion could have caused PCR artifacts. Using independent primers, the data obtained for all selected DNAs indicated that insertions in exon1, the intron, and the first ~150 bp of exon 2 were tolerated. PCR products corresponding to insertions in the 3´ ~550 bp of coding sequence in exon 2 were detected with one of the primers in the time-zero DNA sample, but were undetectable in DNA from any of the selected cell populations. In all selected DNAs, insertions were not detected in this region of exon 2. 134c and 135c: WT, very good targets for Ty1 transposition. 136w: NR, very strong 5´ preference for Ty1 insertion, artifact peaks were generated by standard PCR analysis (revealed by 23 cycle and forward primer analysis). Insertions were not reproducibly detected in the coding sequence. However, peaks corresponding to insertions were detected in the 5´ 200 to 300 bp of the coding sequence, adjacent to the stop codon, in the time-zero and selected DNAs. 137c: WT, very good target for Ty1 transposition. 139c: Q1 (possibly Q2) specifically in H, Q3 in other selections, ~ 95 - 98%. 141w: Q1 specifically in L, Q3 in other selections, ~ 95-99%. 142c: WT, possibly Q3 (data from one primer support WT, the other suggest possible Q3). 143w: Q3, ~95 to 100%. 144c: WT, possibly Q3, ~97 to 100%. 145c: Q1, possibly Q2. Moderately strong 5´ site preference for Ty1 insertion. 146w: Q3 specifically in M, ~85 to 90%, possibly Q2 in M with insertions tolerated near the stop codon. The predicted gene product has similarity to small nuclear ribonuclear protein SNP2. 147c: Q2, possibly Q1. 149c: WT, strong 5´ site preference for Ty1 insertion created potential for PCR artifacts. A relatively low number of insertions was detected in the coding sequence. 150w: WT, in a region of strong preference for Ty1 insertion. 151c: Q2 (the average of data from two independent primers), possibly more severe Q2 or Q1 specifically in H. 152c: Q3, a greater than expected number of peaks remained at 18 and 51 population doublings. An alternative interpretation of these data is that mutant cells were at a disadvantage during mutagenesis, but grew at the same rate as the general population in subsequent selections. 153c: Q1 specifically in L, Q3 in other selections, ~85 to 90%. 154w: Q1 specifically in L, possibly Q3 in other selections. 155c: BEM2, Q2, possibly Q1, ~70 to 80%. Probably Q1 in H. 156c: WT, but the very strong 5´ preference for Ty1 insertion created the potential for PCR artifacts. Possible Q3 in all selections, or possible Q3 in C only. 157w: WT, strong 5´ preference for Ty1 insertion. 159c: WT, good target for Ty1 transposition. 161c: WT, X data were variable but probably WT. 163c: Q3, a greater than expected number of peaks remained at 18 and 51 population doublings. An alternative interpretation of these data is that mutant cells were at a disadvantage during mutagenesis, but grew at the same rate as the general population in subsequent selections. 167w: Q2, possibly Q3. 169w: WT, possibly Q3, or possible selection against mutants during mutagenesis followed by growth at the population rate in subsequent selections. 172c: NR, insertions were not reproducibly detected in the ~800 bp of coding sequence analyzed. However, PCR products corresponding to insertions were detected by an independent primer scanning a region ~2100 to 2800 bp from the start ATG. These insertions were detected in the selected DNAs, suggesting that insertions in this portion of the gene may not result in a growth defect, but the signal was low. 174c: Q3, possibly Q2, ~85 to 88%. 175c: Q3, ~95 to 98%. 176w: Q2, possibly Q3, ~80 to 90%. 180c: WT, very strong 5´ preference for Ty1 insertion. 182w: NR, very strong 5´ preference for Ty1 insertion created PCR artifacts. The results from PCR performed using only 23 cycles to minimize artifacts indicated a possible general quantitative growth defect for mutant cells. 181c: WT, very good target for Ty1 transposition. 184c: WT, possibly Q3. 186c: Q3, ~95 to 98%, the mutant growth defect was possibly more severe in C. 189w and 190w: in telomeric repeat. The primers could prime at homologous telomeric sites in other chromosomes.

[View Larger Version of this Image (36K GIF file)]


The most common mutant phenotype we found among all the genes analyzed was a general growth disadvantage for mutant cells under all selections. By analyzing multiple time points using the least stringent selection for growth--growth in rich-glucose medium at 25°C (Table 1)--we could estimate the growth rates of each mutant. We divided the results into three categories: Q1, Q2, and Q3. Q1 indicates that mutant cells grew at no more than 75% of the growth rate of the overall population (for example, after 15 population doublings the mutants had doubled no more than 12 times, and thus were represented at no more than 1/23 = 1/8 of their abundance in the time-zero population). This category includes genes whose product is absolutely required for vegetative cell growth ("essential" genes). The Q2 and Q3 categories include genes for which mutant cells were at more subtle growth disadvantages, growing at apparent rates of 75 to 85% and 85 to <100% of the population growth rate, respectively (Fig. 1 and Table 2). None of the phenotypes in these classes was a consequence of the freezing of cells in glycerol after mutagenesis, or of their subsequent resuscitation (6). These data were confirmed by analysis of DNA isolated from three independent rich-medium selections. In addition, the data obtained from the other selections corroborated the general growth defects observed in rich-glucose medium. For >90% of the genes in the Q2 and Q3 categories, growth deficits were reproducibly detected to within ±5% variability in independent samples.

Table 2. Numbers of genes giving mutant phenotypes in each selection. The percentage of genes associated with each phenotype was calculated with respect to the 255 nontelomeric genes on chromosome V for which reliable data were obtained. Some genes were associated with more than one phenotype. For 98 genes (38.4%), Ty1 insertion mutants were indistinguishable from wild-type cells in any of the selections we used. R refers to genes for which mutants with general severe growth defects (Q1 or Q2) were able to grow at notably improved rates under particular selections. Many of the phenotypes we detected for previously characterized genes are, in fact, novel phenotypes (not listed). These new phenotypes were typically Q2 or Q3 (sometimes Q1) growth disadvantages for mutants of genes previously described as wild type for vegetative growth.


Selection Number of genes (%) Number of novel genes

Rich: Q1 (<75%) 51  (20.0) 14
Rich: Q2 (75 to 85%) 44  (17.3) 22
Rich: Q3 (85 to 100%) 55  (21.6) 35
Minimal 9  (3.5) 3
Lactate 8  (3.1) 1
Caffeine 3  (1.2) 1
High temperature 2  (0.8) 1
High temperature R 1  (0.4) 1
High salt 3  (1.2) 2
High salt R 1  (0.4) 0
Mating 1  (0.4) 1
Mating R 2  (0.8) 2

Fifty-one genes (20%) fell into the Q1 category; 14 of these were previously undescribed (Table 2 and Figs. 1 and 2). In addition to several known essential genes, this category included ILV1 and PRO3, mutations of which are known to result in auxotrophy. As described previously for ade2 insertions (2), genetic footprinting revealed considerable growth defects for ilv1 and pro3 mutant cells even in rich medium thought to contain adequate quantities of the relevant nutrients [the inability of pro3 mutants to grow in rich medium was reported previously (7)]. MOT2, which encodes a transcriptional repressor, also fell in this class; although null mutants were viable at 25°C, their growth defect was clearly exposed by genetic footprinting analysis (8). Other genes previously reported to be nonessential, such as VMA8 (encoding the vacuolar H-adenosine triphosphatase subunit), GDA1 (encoding guanosine diphosphatase of the Golgi membrane), and MMS21 (encoding a DNA repair protein) (9), were found to fall in the Q1 category, which indicated a substantial growth disadvantage of the corresponding mutant strains.


Fig. 2. YER083c, an example of a novel gene identified as important for growth under all selections (Q1), including rich-glucose medium. These data were generated by analyzing 10 µl of each PCR reaction by denaturing polyacrylamide gel electrophoresis, as described (2). In this and subsequent figures, the most intense peaks (at the right of each trace) are shown off-scale to allow clearer visualization of the lower-intensity peaks; the shaded box under each trace represents the coding sequence of the gene (CDS), and peaks to the right of this box correspond to insertions upstream of the start ATG codon. For most genes on chromosome V, these peaks tended to be more intense than peaks corresponding to insertions in the coding sequence, reflecting a preference for Ty1 insertion into noncoding regions. In this example, all peaks corresponding to insertions in the coding sequence of YER083c were depleted after 15 population doublings in rich medium (Rich 15). [View Larger Version of this Image (26K GIF file)]

Some selection against cells with mutations in essential genes may occur during the 4-day Ty1 mutagenesis. It is possible that this factor accounted for some cases in which we failed to obtain an interpretable result (3% of the genes analyzed) (10). Most essential genes were not excluded from analysis in this way, as we were reliably able to obtain PCR products representing Ty1 insertions in almost all of the previously identified essential genes on chromosome V with the use of DNA from the time-zero cells.

Insertion mutations in 99 genes (38.8%) resulted in more subtle quantitative growth defects in all selections. These genes were divided into two classes (Q2 and Q3, Fig. 1 and Table 2) on the basis of the estimated growth rate disadvantage of mutants. Most of the genes in these groups (58%) had not been previously characterized. Moreover, for many of the previously characterized genes in these categories, the growth disadvantage we observed had not previously been reported. An example of such a gene is SSA4, for which we found a Q3 mutant growth defect. This gene is a member of a large family of genes that encode apparently interchangeable cytoplasmic heat shock proteins (11). We also observed a Q2 growth disadvantage for mutants of RAD51 (encoding a RecA-like DNA repair protein), PRB1 (encoding vacuolar protease B), and GLN3 (encoding a positive nitrogen-regulatory protein) (12).

Spurious PCR products (those unrelated to real Ty1 insertions in the gene of interest) would not be expected to be depleted under a selection that requires the gene's activity, leading to underestimation of the selective disadvantage of the mutants. A similar behavior would be expected for PCR products that represent actual insertions within a gene that do not impair its function. PCR products corresponding to tolerated Ty1 insertions were frequently observed immediately adjacent to the 5' and 3' boundaries of coding sequences and were even observed within coding sequences (13). Because we analyzed multiple time points, we were usually able to determine whether these anomalous products were consistently present and omitted them from the quantitative analysis. The 50- to 60-generation time points were particularly useful for this purpose (14).

When a gene is important for cell growth, the dilution of the corresponding mutant cells as the general cell population expands leaves progressively fewer targets for PCR amplification. Reduced competition for PCR reagents could then lead to more efficient amplification of these remaining DNA targets. For example, PCR products representing insertions upstream of an important coding region were often more abundant among the products amplified with the use of DNA samples from the corresponding selection than among the products of the time-zero PCR. We tried to take this effect into account by normalizing the signal produced in different PCRs relative to insertions upstream of the coding regions, under the assumption that these upstream insertions had no effect on fitness. To provide a more robust normalization, we developed an independent internal standard for the PCR reactions. A library of Sau 3A restriction fragments of yeast genomic DNA was cloned into a vector carrying the marked Ty1 primer sequence, such that PCR amplification of this library with the Ty1-specific primer and any labeled gene-specific primer resulted in a predictable pattern of products (15). DNA from the library was mixed at a fixed concentration with DNA samples from selected cells and time-zero cells, respectively. The mixtures were subjected to a second set of PCR reactions for each of 63 genes that were quantitatively important for growth (16). The intensities of the PCR products from the different selected DNAs were then normalized using the library-specific peaks (Fig. 3). The growth rate defect of the mutant cells was estimated by comparing the normalized signals from the different time points. These data facilitated the grouping of genes into the Q classifications and were also useful in resolving ambiguous results concerning general or specific growth defects.


Fig. 3. Quantitative depletion of cells with mutations in BEM2, analyzed by normalization with the Sau 3A library DNA. In this example, the coding sequence matches the region from which peaks were depleted. The peak in each tracing that represents the PCR product derived from the library DNA is marked with an asterisk. This peak increases in intensity at the time points corresponding to 18 and 51 population doublings (Rich 18 and Rich 51), as the reduced number of template DNA molecules corresponding to Ty1 insertions in BEM2 results in decreased competition for PCR reagents. The area under the control peak was used as the basis for normalizing the total signal obtained from the various selection time point DNAs, relative to the time-zero sample, in the region undergoing depletion. In this example, 8% of the normalized signal remains at 18 population doublings, corresponding to a mutant growth rate of sim 80% of the population growth rate. These data are consistent with published data for BEM2; The bem2 mutants are viable at 26°C but have a slower growth rate (31). For each analysis in which library DNA was used, one PCR (and corresponding gel lane) contained library DNA alone, to allow identification of library-specific peaks. The library DNA, isolated from sim 1.5 × 106 independent colonies, was estimated to represent sim 75 to 80% of Sau 3A sites; hence, the 8 pg of library DNA added to each PCR would represent, on average, sim 30 molecules per peak. [View Larger Version of this Image (42K GIF file)]

Ty1 insertion mutations in a few genes resulted in growth defects that were discernible only in one of the selection protocols. Mutations in several other genes resulted in general growth defects as well as more severe specific ones. Genes required for growth in minimal medium include four previously characterized genes involved in amino acid biosynthesis [GLY1, TRP2, MET6, and ARG5,6 (17)] and two novel genes, YER006w and YEL044w (18). (Novel genes are genes that have not been previously characterized and have not had a putative function assigned on the basis of compelling homology to a characterized gene.) Mutations in GLY1, ARG5,6, MET6, TRP2, and YER006w also produced more subtle growth defects in rich medium (Q2 for GLY1, Q3 for the others). GCN4, which encodes a transcriptional activator of amino acid biosynthetic genes, displayed a Q2 phenotype only in minimal medium (19). Mutations in YER146w produced a Q3 growth defect only in minimal medium. Mutations in ANP1, which encodes a protein involved in retention of glycosyltransferases in the Golgi apparatus (20), produced numerous phenotypes: Q1 (possibly Q2) in minimal medium, in high-salt medium, and at high temperature, and Q3 in all other selections.

Genes known to be required for respiration (PET117, PET122, CEM1, OXA1, and AFG3) behaved as expected, showing at least a Q1 defect in rich-lactate medium (21, 22). YER141w was also important for growth on lactate, consistent with its identification as COX15 (23). Mutations in most of these genes resulted in less severe general growth defects in all other selections as well. One novel gene, YER087w, was important for growth in lactate medium (Q1 in lactate) and was quantitatively important for growth in rich medium (Q2). Mutants of YEL066w had a moderate growth defect (Q2) only in lactate medium.

Mutants of three genes were found to have growth defects (Q1) in medium containing 6 mM caffeine. Two of these, PAK1 and GPA2 (24), encode a protein kinase and a guanosine triphosphate-binding regulatory protein, respectively; the third, YER093c, was a novel gene (Fig. 4). Mutations in all three of these genes also resulted in a less severe general growth disadvantage (Q2 or Q3) (Fig. 4). One novel gene, YER139c, was identified as important for growth at high temperature. Two novel genes, YEL008w and YER014w, were found to be important for growth in high-salt medium.


Fig. 4. YER093c, an example of a novel gene important for growth in the presence of 6 mM caffeine (Q1). YER093c mutants are also at a more subtle growth disadvantage in all other selections (Q3). In this example, there was almost complete depletion of all peaks corresponding to insertions in the coding sequence of YER093c after growth in caffeine medium (Q1), and substantial but not complete depletion of these peaks in other selections (Q3; data for rich-glucose and rich-lactate medium shown). In the absence of caffeine, cells with Ty1 insertions in the YER093c coding region grew at sim 85 to 90% of the population rate. The Q3 depletion manifests as a reduced total number of peaks after 18 population doublings, rather than as a systematic decrease in signal of all peaks detected in the time-zero DNA. The individual peaks detected at 18 population doublings vary between different DNAs and also between independent PCRs of the same DNA sample (not shown). This pattern is typical of the data generated by genetic footprinting for many genes that are not favored targets for Ty1 transposition, and reflects sampling of the cell population. As discussed previously (2), the lower intensity peaks corresponding to insertions in the coding sequence of many such genes may represent as few as 1 to 10 cells. [View Larger Version of this Image (47K GIF file)]

There were some examples of unexpected survival in particular selections. CHO1, which encodes a phosphatidylserine synthetase, is important for phosphatidylcholine synthesis (25). By genetic footprinting analysis, cho1 mutants were at a severe growth disadvantage in rich medium (Q1) and all other selections, except rich medium containing high salt (0.9 M NaCl). Cells containing insertions in the CHO1 coding sequence were abundantly represented after selection in the high-salt medium, indicating that the cho1 mutants were not only viable, but grew at least as well as the general population of cells in this medium. This unexpected result has no obvious explanation (26), but it highlights the value of applying genetic footprinting analysis to all genes, even the apparently well-characterized ones. Similarly, mutants in the novel genes YER093ca (Q2) and YER072w (Q1) showed general growth defects at 25°C but grew at improved rates at 36.5°C (Fig. 1).

The ability to mate was also used as a selection protocol. Selection for diploids was done after Ty1-mutagenized MATalpha cells were mated with excess MATa partners. One novel gene on chromosome V, YER107c, was required for mating. Mutations in this gene also resulted in a Q3 growth defect in all selections. Conservative interpretation of mating data was necessary in cases of mutants with more severe general growth defects (Q1 and Q2), as these mutants were more susceptible to inadvertent selection during the mating procedure (27). PCR products representing detrimental insertions in mutants with the most severe growth defects (Q1) were frequently (but not always) absent upon analysis of the DNA from the selected diploid products of a successful mating. There were two notable exceptions. Peaks corresponding to insertions in the analyzed coding sequence of YER132c were barely detectable after PCR analysis of the time-zero DNA and were depleted in all other selections. However, these peaks were detected upon PCR analysis of DNA isolated from the diploid products of mating, which suggested that these severely growth-impaired mutants were nonetheless able to mate. Similarly, peaks corresponding to insertions in the coding sequence of YER072w (Q1) were detected upon PCR analysis of the successful maters. Mutants with less severe growth defects (Q2 and Q3) were generally able to mate (28).

Genetic footprinting has allowed us to determine that an unexpectedly large fraction of the genes of S. cerevisiae make detectable contributions to fitness under standard laboratory conditions. This finding may be attributable in part to the essentially quantitative nature of the data obtained with this method. Unlike standard gene disruption methods, genetic footprinting provides an estimate of the fitness of mutants relative to the population as a whole. The estimates obtained for the fraction of genes that are "essential" is governed by this feature: the Q1 category includes not only essential genes but genes for which mutants have severe growth defects but might still manage a visible colony. The number observed here (20%) is indeed higher than that reported in other studies estimating the proportion of "essential" genes (2). Mutations in another 39% of the nontelomeric genes on chromosome V resulted in general growth defects. These results suggest that despite the apparent redundancy in the yeast genome, more than half of all yeast genes contribute detectably to competitive fitness. Even redundant genes can be important for vegetative growth. For example, on chromosome V, YER074w (RP50A) and YER131w (RPS26b), which encode predicted ribosomal proteins, have nearly perfect homologs on other chromosomes. Mutants of YER074w and YER131w were nonetheless at substantial growth disadvantages (Q1 and Q2) in rich medium (29).

We anticipate that simply extending the methods described above to the whole genome will enable us to assign mutant phenotypes to more than half of the genes. In our work to date, the more specialized selections yielded fewer mutant phenotypes, but the number obtained is of consequence nonetheless. Mutants of 11 novel genes were found to have specific growth defects or growth advantages in specialized selections. Extrapolating this result to the rest of the genome predicts that these specialized selections alone would identify specific mutant phenotypes for another 250 to 300 novel genes, in addition to any new discoveries for previously characterized genes. Incorporation of additional selection protocols should increase the fraction of genes for which a specific role can be inferred. However, even when mutations in a gene produced no discernible phenotype under any of the selections we used, the result was still informative: we learned that the gene under study was dispensable for growth in each of the media tested, to a resolution of 5 to 10% of the population growth rate (30).

Genetic footprinting provides an efficient and economical way to take advantage of the genomic sequences of microorganisms so as to learn about the functions of the newly identified genes. Thanks to the high degree of functional conservation among eukaryotic proteins, we can expect that the information gathered in this way will also, in many cases, provide important clues to the functions of the cognate human genes.


REFERENCES AND NOTES

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  29. Explanations for this type of phenomenon have been reported previously. For example, RNR1 and RNR3 are closely related in sequence, and both encode large subunits of ribonucleotide reductase. However, RNR1 is constitutively expressed and is essential for vegetative growth, whereas RNR3 is induced in response to exposure to DNA-damaging agents [ S. J. Elledge and R. W. Davis, Genes Dev. 4, 4740 (1990) ].
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31 July 1996; accepted 7 November 1996



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Marginal fitness contributions of nonessential genes in yeast.
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PNAS 95, 253-257
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Yeast microarrays for genome wide parallel genetic and gene expression analysis.
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PNAS 94, 13057-13062
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Whole genome analysis: Experimental access to all genome sequenced segments through larger-scale efficient oligonucleotide synthesis and PCR.
D. A. Lashkari, J. H. McCusker, and R. W. Davis (1997)
PNAS 94, 8945-8947
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Ubiquitous, heritable damage in cell populations that survive treatment with methotrexate.
M. Chow and H. Rubin (1997)
PNAS 94, 8773-8778
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Small Open Reading Frames: Beautiful Needles in the Haystack.
M. A. Basrai, P. Hieter, and J. D. Boeke (1997)
Genome Res. 7, 768-771
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High-resolution functional mapping of a cloned gene by genetic footprinting.
I. R. Singh, R. A. Crowley, and P. O. Brown (1997)
PNAS 94, 1304-1309
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ABC50 Interacts with Eukaryotic Initiation Factor 2 and Associates with the Ribosome in an ATP-dependent Manner.
J. K. Tyzack, X. Wang, G. J. Belsham, and C. G. Proud (2000)
J. Biol. Chem. 275, 34131-34139
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Yeast Genes Controlling Responses to Topogenic Signals in a Model Transmembrane Protein.
D. J. Tipper and C. A Harley (2002)
Mol. Biol. Cell 13, 1158-1174
   Abstract »    Full Text »    PDF »



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Science. ISSN 0036-8075 (print), 1095-9203 (online)