1 Project Overview

There are a lot of bacterial genomes out there, each with a lot of genes. If you looked at a random genome, and saw X gene, what are the odds that Y gene is also present?

How are genes associated/correlated across microbial species? Are there genes that always appear together? And do these reveal any unknown potential connections between genes?

This project offers a workflow to answer some of these questions. It downloads all bacterial reference genomes from NCBI and finds the presence/absence of every named gene. It then computes the Jaccard Similarity Score between every abundant (>100 hits) gene. Finally, it allows you to search specific genes and see the closest comparisons.

1.1 Weekly Progress Report:

Week 1+2: Not in Class

Week 3: Generated simulated data and created system to quickly generate a Jaccard score from a presence/absence matrix (under simulated_data_test.R)

Week 4: Worked on devloping a tool to download reference genomes and create a presence/absence matrix - used NCBI API to download one genome at a time (under download_script.R)

Week 5: Continued working on a download tool, eventually got NCBI datasets to work. Finalized the presence/absence matrix code. Prepared presentation. (under 01-ncbi_download.Rmd)

Week 6: Created a 17,022 genes x 17,056 genomes presence/absence matrix using premade code, ran some initial tests on genes of interest and saw expected correlations (genes within same operon were correlated, genes associated with central carbon metabolism were correlated with each other) (01-ncbi_download.Rmd into 02-full_matrix_test.Rmd)

Week 7: Generated a 17,022 x 17,022 correlation matrix with the Jaccard Similarity score of each gene-gene pair (currently running) (02-full_matrix_test.Rmd) - could also filter out all genes that appear in fewer than X genomes to speed up the calculation.

Week 8: Identify the strongest correlations and research those genes

Week 9: Compare the distribution of probabilities from each gene to each other to search for odd distributions

Week 10: Test other metrics instead of Jaccard and see if specific genes have similar correlations

2 Presence/Absence Matrix Generation

2.1 Take in initial NCBI taxons and generate a presence/absence matrix

Using the datasets package from NCBI

Download GFF of every bacterial reference genome

cd ../data

rm -r ncbi_dataset
rm README.md

/home/shared/datasets download genome taxon "bacteria" --annotated --reference --include gff3
unzip ncbi_dataset.zip

Extract the named genes from each genome and compile into a giant list

library(data.table)
library(tidyverse)
accession_list = dir(path="../../data/ncbi_dataset/data",pattern="GCF*")

gene_presence_list <- NULL

gene_presence_list <- lapply(accession_list, function(accession_number_i){
  filename <- paste0("../../data/ncbi_dataset/data/", accession_number_i, "/genomic.gff")
  # Apparently the files have different length headers so we need to skip them dynamically
  # from https://stackoverflow.com/q/18920777
  # This makes the reader much slower but I can't figure out how to avoid it otherwise
  lineskip_command <- paste("grep -v '^#'", filename)
  # fread is data.table's fast table reader function
  # we also index for column 3 equaling "gene" at the end here
  tab_i <- fread(cmd=lineskip_command, sep = "\t", fill = TRUE, )[V3=="gene"]
  
  
  # Approach number 1 - downloading the GeneID name
  # This regex is a lookbehind (?<=) and grabs all digits (\\d) following 
  # the lookbehind match
  # gene_ids <- as.numeric(str_extract(tab_i$V9, pattern = "(?<=Dbxref=GeneID:)\\d+"))
  
  # Approach number 2 - using the gene name technique
  gene_names <- str_extract(tab_i$V9, pattern="(?<=gene=)[^;]*(?=;)")
  
  # Remove all but 1 NA (NA used as a positive control - something that will appear in everything)
  gene_names <- unique(gene_names, incomparables=FALSE, fromLast=FALSE, by=seq_along(gene_names))
  
  # Rename to avoid name collision on merging
  output_table <- data.table(1, gene_names)
  names(output_table) <- c(accession_number_i, "gene_names")
  return(output_table)
})

Reduce everything into a giant matrix

genes_merged <- purrr::reduce(gene_presence_list, dplyr::full_join, by="gene_names")
genes_merged[is.na(genes_merged)] <- 0

Save matrix to a CSV

write.csv(genes_merged, "../../data/merged_genes_full.csv", row.names=TRUE)

2.1.1 ADD ADDITIONAL GENOMES TO CURRENT MATRIX

If adding genomes to the current merged_genes.csv (NOTE: not merged_genes_full.csv)

# Load in the current 
genes_merged_old <- read.csv("../../data/merged_genes.csv",row.names = 1, header= TRUE)

# Reduce using the merge function, keeping all rows, accumulating genes each time
genes_merged <- purrr::reduce(gene_presence_list, dplyr::full_join, by="gene_names")

# Combine the Two
genes_merged_new <- merge(genes_merged_old, genes_merged, by="gene_names",all = TRUE)
genes_merged_new[is.na(genes_merged_new)] <- 0

write.csv(genes_merged_new, "../../data/merged_genes.csv", row.names=TRUE)

2.2 Plot the full presence/absence matrix

library(tidyverse)

genes_merged <- read.csv("../../data/merged_genes_full.csv",row.names = 1, header= TRUE)

genes_merged %>% 
  as.data.frame() %>%
  pivot_longer(-c(gene_names), names_to = "genomes", values_to = "presence") %>%
  ggplot(aes(x=genomes, y=gene_names, fill=presence)) +   
  theme(axis.text.x=element_blank(), #remove x axis labels
        axis.ticks.x=element_blank(), #remove x axis ticks
        axis.text.y=element_blank(),  #remove y axis labels
        axis.ticks.y=element_blank()  #remove y axis ticks
        ) + 
  geom_tile()

3 Generation of Jaccard Matrix

As the metric for association, I decided to use the Jaccard Similarity Score - the number of matching hits, divided by all possible hits between the two. The higher the score, the more similar the distribution of those genes across genomes. jaccard

3.1 The matrix

# Generate the Counts of the Genes
gene_count =as.data.frame(rowSums(genes_merged))
gene_count <- tibble::rownames_to_column(gene_count, "gene_name")

# Exclude any gene with fewer than min_num_genes hits
min_num_genes <- 100
gene_count$min <- ifelse(gene_count$`rowSums(genes_merged)` > min_num_genes, 1, 0)
genes_merged <- tibble::rownames_to_column(genes_merged, "gene_name")

# Filter on main
genes_merged = genes_merged[as.logical(gene_count$min),]
gene_list = genes_merged[,"gene_name"]

genes_merged <- tibble::remove_rownames(genes_merged)
genes_merged <- tibble::column_to_rownames(genes_merged, "gene_name")


# Calculate Jaccard Similarity Matrix
holder <- lapply(gene_list, function(gene_i) {

  ref_gene <- as.numeric(genes_merged[gene_i,])
  gene_matches <- colSums(t(genes_merged)+ref_gene==2)
  gene_totalhits <- colSums(t(genes_merged)+ref_gene>0)
  gene_matches/gene_totalhits
  })

jaccard_matrix <- do.call(rbind, holder)
row.names(jaccard_matrix) <- gene_list

write.csv(jaccard_matrix, "../../data/jaccard_matrix.csv", row.names=TRUE)

Heatmap

Notice that it creates 3 clusters. I decided to more closely analyze those clusters

3.2 Cluster analysis

First, I need to verify the dendrogram - cophenetic correlation ends up being around 0.78, not amazing but reasonable to work with.

hc = hclust(dist(jaccard_matrix))
plot(hc)
# Is it possible to put data into dendrogram - close to 1 is good, close to 0 is bad
cophen = cophenetic(hc)
verify = cor(dist(jaccard_matrix), cophen)
# Order the Abundance for correct mapping to the plot
hc_labels = as.data.frame(hc$labels)
hc_labels$index = 1:length(hc$labels)

gene_abund_index = merge(hc_labels,gene_count,by.x="hc$labels",by.y="gene_name")

gene_abund_index$order <- hc$order
gene_ordered = arrange(gene_abund_index, index)[hc$order,]
colorfun = colorRamp(c("red","blue"))

cl_members <- cutree(tree = hc, k = 3)
plot(x = hc, labels =  row.names(hc), cex = 0.5, hang= -1)
points(x=1:3686,y=numeric(3686),col=rgb(colorfun(gene_count$abundance[hc$order]), maxColorValue = 255))
# rect.hclust(tree = hc, k = 3, which = 1:3, border = 1:3, cluster = cl_members)

pdf("~/sam-associationstudy/output/gene_clusters.pdf",width = 250)
plot(x = hc, labels =  row.names(hc), cex = 0.5, hang= -1)
points(x=1:3686,y=numeric(3686),col=rgb(colorfun(gene_ordered$abundance), maxColorValue = 255))
dev.off()

Blue circles represent very abundant genes, while red circles represent very unique genes. Cluster

3.3 Individual Gene Analysis - examples

Cluster 1 Gene Distribution: (Ribosome-recycling factor)

library(tidyverse)
jaccard_matrix = read.csv("../../data/jaccard_matrix.csv", row.names=1, header=TRUE)
ggplot()+geom_histogram(aes(jaccard_matrix[,"frr"]),bins = 200)

Cluster 2 Gene Distribution: (Glycine/sarcosine N-methyltransferase)

ggplot()+geom_histogram(aes(jaccard_matrix[,"bsmA"]),bins = 200)

Cluster 3 Gene Distribution: (xanthine dehydrogenase)

ggplot()+geom_histogram(aes(jaccard_matrix[,"pucD"]),bins = 200)

Table Showing the Closest Match

library(knitr)

ref_gene = "nifH"
fav_genes = sort(jaccard_matrix[ref_gene,],decreasing=TRUE)

kable(t(fav_genes), caption = "Sorted list of the genes with the closest association")
Sorted list of the genes with the closest association
nifH
nifH 1.0000000
nifD 0.8707941
nifE 0.8697987
nifK 0.8669355
nifB 0.7695914
nifN 0.6308003
nifV 0.5744681
nifT 0.5702757
fdxB 0.5574211
nifA 0.5073529
nifX 0.4855414
nifS 0.4486830
nifU 0.3645929
nifW 0.2902357
hypA 0.2667598
hypB 0.2469722
hypD 0.2393939
hypE 0.2378105
amrS 0.2353818
cybH 0.2344116
modD 0.2290568
amrA 0.2274784
hcp 0.2244341
hypF 0.2235890
draG 0.2213170
cbiD 0.2073987
amrB 0.2064909
nifJ 0.2041954
cowN 0.2014976
cbiB 0.1935330
cbiM 0.1933395
cobD 0.1931241
nikR 0.1876740
cooS 0.1828859
hyfB 0.1825939
iorA 0.1821883
hybE 0.1763496
flgF 0.1732955
cobU 0.1730026
cobJ 0.1718220
nuoB 0.1699507
nifL 0.1691576
larC 0.1678731
cobM 0.1663577
dsrA 0.1657459
gltA 0.1656701
cimA 0.1649315
dsrB 0.1642562
larB 0.1638004
cobS 0.1633762
modC 0.1632957
rfaE1 0.1626286
cbiQ 0.1617989
mtnA 0.1614450
hydF 0.1598825
mobB 0.1586247
hydG 0.1578495
hydE 0.1577418
nifM 0.1570360
cobI 0.1564534
rfbF 0.1562839
minE 0.1562760
larE 0.1551990
phnD 0.1537386
ntrB 0.1537351
flhB 0.1533353
cas6 0.1532605
flgB 0.1511805
sfsA 0.1506126
ybgF 0.1497072
modB 0.1475867
bchE 0.1465875
flhA 0.1464382
cobW 0.1457845
cysW 0.1451730
fliQ 0.1451147
fliR 0.1448416
fliG 0.1444675
flgC 0.1442200
fliM 0.1441061
cas4 0.1431585
flgA 0.1425993
fba 0.1425237
fliI 0.1423124
cbiE 0.1420517
flgG 0.1417746
livM 0.1416031
lpxC 0.1410675
trmFO 0.1408476
cbiT 0.1404834
gor 0.1395041
cysT 0.1390059
queC 0.1386208
epmA 0.1385195
flgK 0.1384541
eutC 0.1374375
minC 0.1373266
fliP 0.1367582
aprB 0.1366499
mepA 0.1365146
bchM 0.1362948
gmd 0.1362229
aprA 0.1361059
sat 0.1355646
ssrS 0.1351880
yedF 0.1350378
minD 0.1348495
waaF 0.1345496
fliE 0.1345286
chlG 0.1341772
hybB 0.1341535
fliF 0.1338402
fliJ 0.1338240
soxZ 0.1328566
feoB 0.1326730
fdhF 0.1319215
rfaD 0.1319081
ltrA 0.1311657
ntrC 0.1311626
bchI 0.1309035
urtD 0.1308376
clpA 0.1307330
phnL 0.1306709
queD 0.1306568
aroF 0.1304955
glgA 0.1303750
phnG 0.1303159
cas2 0.1302505
fetB 0.1302406
rsxC 0.1302143
fliN 0.1302108
lpxI 0.1298739
urtC 0.1298505
urtA 0.1297032
tnpB 0.1296942
cheB 0.1296493
bchL 0.1295547
pal 0.1294390
rfbG 0.1290915
ilvB 0.1289419
phnH 0.1287187
dmeF 0.1286674
bioF 0.1286216
fliD 0.1285840
gpt 0.1284740
phnK 0.1284526
urtE 0.1282496
ribE 0.1281674
tsaA 0.1280917
hisA 0.1278435
cbbX 0.1275377
ubiA 0.1275342
ureC 0.1273535
dksA 0.1270917
leuB 0.1263577
phnF 0.1261697
fabZ 0.1254884
cobT 0.1254248
tolR 0.1253849
nspC 0.1253294
cysE 0.1250891
thiH 0.1248300
malQ 0.1248108
trpE 0.1245952
hpnH 0.1244373
pap 0.1243059
queF 0.1236797
flaF 0.1236127
moeB 0.1234183
soxY 0.1228431
flgM 0.1228190
glyS 0.1227032
addB 0.1225793
tolQ 0.1225695
gcvPB 0.1223665
flgL 0.1223600
cax 0.1222691
hflK 0.1222087
cobO 0.1221656
urtB 0.1220809
glcF 0.1220680
thiC 0.1220604
grxC 0.1218858
gcvPA 0.1214133
mobA 0.1213649
xseB 0.1213327
lptF 0.1211932
ppdK 0.1208237
cysK 0.1207924
gspG 0.1207392
phaR 0.1203139
lpxB 0.1202794
atzF 0.1202346
mtaB 0.1201880
plsY 0.1201089
lptC 0.1200783
mazG 0.1200241
rpoD 0.1194879
shc 0.1193014
surE 0.1192262
lpxD 0.1189774
tolB 0.1187911
modA 0.1187304
lpxA 0.1186241
rfbC 0.1183379
hfq 0.1182808
fdnG 0.1181556
exbB 0.1180753
rsxA 0.1178271
ccmI 0.1176826
ybgC 0.1175529
plsX 0.1175028
bchB 0.1173389
nodC 0.1172087
rbbA 0.1171171
lptG 0.1170974
fliS 0.1169971
clpP 0.1164364
tssE 0.1164291
folE2 0.1164274
nagZ 0.1162173
nadB 0.1160139
argJ 0.1157998
cas3 0.1157679
ispH 0.1156325
hemJ 0.1155397
aat 0.1154266
rnhA 0.1154037
metW 0.1151890
petA 0.1151840
trbB 0.1151539
phnN 0.1151145
tssB 0.1150948
pdxA 0.1150767
folD 0.1150328
rimO 0.1150005
rpmE 0.1148363
sseA 0.1148170
ureE 0.1147783
htpG 0.1147662
rpoN 0.1146205
ptsN 0.1146030
thpR 0.1145649
flhF 0.1145383
gloB 0.1145287
radC 0.1144155
istA 0.1143519
tssC 0.1142563
speE 0.1141071
trbG 0.1140025
tssK 0.1139829
ppx 0.1139185
csaB 0.1137460
dctP 0.1137007
fliW 0.1136531
gmhB 0.1136260
trxC 0.1135964
acnB 0.1135148
xth 0.1133799
rseP 0.1132185
ispE 0.1129250
hemN 0.1128659
tssF 0.1127977
larA 0.1127723
soxB 0.1127472
kdpC 0.1125518
tcuB 0.1125296
holB 0.1125102
mtnP 0.1123338
tssG 0.1121718
motA 0.1120077
scfB 0.1117542
queA 0.1117076
bamA 0.1115325
phnE 0.1114627
nadA 0.1114316
istB 0.1113975
bluB 0.1113913
nodI 0.1112447
lptB 0.1111442
gshB 0.1109911
hslV 0.1109416
hslU 0.1109084
tatB 0.1107996
pbpC 0.1106351
soxA 0.1103718
glyQ 0.1103380
exbD 0.1103263
trbL 0.1102826
speA 0.1102779
grxD 0.1102633
hemA 0.1102005
pgeF 0.1101159
cobK 0.1100437
scfA 0.1098804
arsB 0.1096460
rpsU 0.1095618
speD 0.1095381
gspD 0.1095269
mutL 0.1094275
murB 0.1093505
gcvA 0.1090226
recJ 0.1089359
acpP 0.1089312
argF 0.1087938
mnmE 0.1087844
phoB 0.1086890
rfbD 0.1086732
pabB 0.1085740
hpxZ 0.1085541
hflC 0.1084816
mutS 0.1084703
tssA 0.1084679
ccoO 0.1083818
kdsA 0.1083227
ccmD 0.1083039
soxX 0.1081929
glgC 0.1081781
trbJ 0.1081511
cpaB 0.1080768
rpoH 0.1080508
mnmG 0.1079707
sppA 0.1079539
phaC 0.1077724
nodB 0.1077236
fixJ 0.1076389
ccmB 0.1075857
pqqD 0.1075419
csrA 0.1074340
lpxK 0.1073907
thiF 0.1073664
ssuD 0.1071542
hypC 0.1071429
thiS 0.1070597
moaC 0.1069333
pilM 0.1069154
fliO 0.1067479
gpmI 0.1067260
ubiB 0.1064144
phbB 0.1064028
gspM 0.1059351
queE 0.1059106
nadC 0.1058324
sugE 0.1056204
pqqB 0.1055727
fabD 0.1055529
secF 0.1055133
ccoP 0.1054695
gloA 0.1054588
cdaA 0.1053678
pqqC 0.1053212
acpS 0.1052456
gluQRS 0.1052434
pqqE 0.1051625
ubiE 0.1050479
lptE 0.1049176
mdh 0.1048513
tssH 0.1047361
cobA 0.1047056
phnC 0.1043935
secD 0.1043882
nuoG 0.1042813
tssJ 0.1041155
ugpB 0.1040939
groES 0.1040728
pssA 0.1037110
fabF 0.1036139
moaD 0.1036044
murJ 0.1034996
moaB 0.1033857
cas8c 0.1033699
cas10 0.1032350
ilvN 0.1031361
dxs 0.1031165
tssM 0.1030869
lptD 0.1030586
hyi 0.1029412
cysG 0.1028816
puuE 0.1028136
proB 0.1027760
galU 0.1027597
murI 0.1025857
ureG 0.1023776
kdpA 0.1023232
grpE 0.1023076
tgt 0.1022096
arsA 0.1021809
rsmB 0.1021485
thiD 0.1019936
kdpB 0.1019059
msrP 0.1016657
glk 0.1016349
ubiG 0.1016192
cobG 0.1015956
glnD 0.1015846
secB 0.1015733
dsrM 0.1015625
purT 0.1014493
accD 0.1014251
rpiB 0.1012815
ylqF 0.1012471
hisI 0.1011188
glgB 0.1011069
mrdA 0.1010644
cas1c 0.1010220
ugpE 0.1010192
hisC 0.1009859
preA 0.1009667
uraA 0.1009174
dsrJ 0.1009115
hrcA 0.1009111
crcB 0.1008876
argB 0.1008863
accC 0.1008036
ilvD 0.1007827
rpoC 0.1007580
ispG 0.1006792
yihA 0.1005959
cas5c 0.1005251
rsxG 0.1004450
phoU 0.1004132
argC 0.1003510
glgP 0.1003171
moaA 0.1003084
cas7c 0.1001500
arsS 0.1001426
tnpA 0.1001286
pstA 0.1001057
kaiC 0.1000962
pstB 0.1000070
ugpA 0.0998087
yfcE 0.0998081
tldD 0.0997985
bioB 0.0997454
tagF 0.0997220
xylF 0.0996979
hslO 0.0996849
ilvC 0.0996292
cydX 0.0996281
cysN 0.0995560
bioD 0.0994970
purF 0.0994687
arsD 0.0994545
ribD 0.0993172
pyrC 0.0992057
dusA 0.0991686
selD 0.0991567
fliY 0.0991322
selB 0.0991312
thiL 0.0990982
panB 0.0990214
ftsW 0.0989948
nthB 0.0989107
kduD 0.0987919
glcE 0.0987692
pseC 0.0986478
mlaD 0.0984969
vgrG 0.0984739
nuoE 0.0984475
sdhD 0.0984235
addA 0.0983578
mqnC 0.0983512
carA 0.0983382
ndk 0.0983213
tcuA 0.0982524
dnaQ 0.0982461
pstC 0.0982394
ppa 0.0982197
ftsE 0.0981917
recQ 0.0980785
waaC 0.0980392
trpA 0.0980180
asnB 0.0979980
rimI 0.0979759
ccmA 0.0979350
cobN 0.0979009
lspA 0.0978717
rlmH 0.0977451
accB 0.0977115
pnp 0.0976063
flbT 0.0975806
ptsP 0.0975472
rpsP 0.0975223
nuoH 0.0975168
mreC 0.0974909
uxuA 0.0974861
corA 0.0973738
argE 0.0973659
bioA 0.0972799
glgX 0.0972753
ccmE 0.0971842
hisB 0.0971460
guaD 0.0971202
trpD 0.0970693
mqnE 0.0970686
hisD 0.0970464
selA 0.0970372
fabA 0.0970350
hisZ 0.0970288
gstA 0.0970072
rpoB 0.0969714
trpC 0.0969419
rnd 0.0968889
hisG 0.0967634
cysQ 0.0967420
trpB 0.0967242
rlmD 0.0967225
xdhA 0.0967209
rpiA 0.0967127
aguB 0.0966997
thrC 0.0964224
argH 0.0963879
gatC 0.0963538
nuoK 0.0962656
hspQ 0.0962107
dnaX 0.0961910
pheA 0.0961820
mutY 0.0960510
purM 0.0960239
thiM 0.0959818
fghA 0.0959386
cysC 0.0959181
ftsA 0.0958893
nthA 0.0958624
rnr 0.0958185
hisF 0.0957361
rsmD 0.0956345
oxlT 0.0954667
gspE 0.0952925
prmA 0.0952529
mutT 0.0952257
aroA 0.0952095
hydA 0.0951751
fdhD 0.0951116
rodA 0.0951115
pseG 0.0951009
asd 0.0950748
hpnD 0.0949985
lnt 0.0949224
cadA 0.0949106
mreD 0.0948810
tadA 0.0948333
rph 0.0948304
lon 0.0948171
hutC 0.0947806
nuoF 0.0947765
aroE 0.0947195
tmk 0.0946746
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mdtN 0.0290411
rstB 0.0289301
bolA 0.0288791
fumA 0.0288462
apaH 0.0288046
tesA 0.0287770
sepF 0.0287616
aegA 0.0287462
sseB 0.0287324
kynU 0.0286903
rprA 0.0286533
terS 0.0286533
csx19 0.0286248
potF 0.0285878
bsmA 0.0285714
rstA 0.0285560
ibpB 0.0285548
yejF 0.0285075
ptb 0.0284529
rluA 0.0284260
potI 0.0283930
endA 0.0283843
gpM 0.0283757
ipdC 0.0283019
pheM 0.0282910
proA 0.0282828
drmD 0.0282575
mobL 0.0282548
sufT 0.0282486
panM 0.0281996
apbE 0.0281933
degP 0.0281690
rhlE 0.0281615
arcD 0.0281501
ssuB 0.0281481
siaC 0.0281269
hofQ 0.0281124
fhuC 0.0280802
yqaB 0.0280741
lldD 0.0280510
pgaC 0.0280499
ogt 0.0280426
arr 0.0280277
fixL 0.0280199
proY 0.0280112
yccA 0.0280000
gshAB 0.0279383
galR 0.0279330
tusE 0.0279270
zntR 0.0279255
yacL 0.0279202
dinI 0.0279202
mscM 0.0279188
mlaC 0.0279070
ygeW 0.0278841
copZ 0.0278563
ptrA 0.0278508
yfhb 0.0278409
pqiB 0.0278338
rluE 0.0278069
ompX 0.0277935
creA 0.0277926
nikE 0.0277614
trbK 0.0277614
spy 0.0277457
ibpA 0.0277162
mzrA 0.0277149
hdfR 0.0277091
ectA 0.0277072
uspA 0.0276817
sltY 0.0276660
osmY 0.0276524
dndB 0.0276423
rlmG 0.0275901
sapC 0.0275827
mprA 0.0275792
fklB 0.0275704
ddlA 0.0275701
ppnP 0.0275281
chaA 0.0274972
peaB 0.0274854
ricT 0.0274667
mtfA 0.0274600
flk 0.0274600
gerQ 0.0274542
tomB 0.0274424
yjiA 0.0274314
phoH 0.0274273
drmA 0.0274185
essC 0.0274107
cbl 0.0273973
mpaA 0.0273896
gnpA 0.0273540
bfd 0.0273523
ispU 0.0272777
sulA 0.0272480
hpxK 0.0272232
nnr 0.0272109
xrtB 0.0272068
rcsD 0.0272035
catB 0.0271887
cpoB 0.0271739
baeR 0.0271739
pgpB 0.0271619
ychH 0.0271444
bssS 0.0271297
osmE 0.0271257
lpxP 0.0271186
cpxP 0.0271168
yihX 0.0271150
diaA 0.0271003
ygjG 0.0270936
rcsB 0.0270709
yejB 0.0270642
gntX 0.0270569
sirB1 0.0270563
ghrB 0.0270423
benA 0.0270142
ubiI 0.0270124
rlpA 0.0269833
ppiA 0.0269833
folM 0.0269718
hns 0.0269542
sanA 0.0269397
sctC 0.0269376
pqiC 0.0269251
hofC 0.0269231
rof 0.0269107
amiC 0.0269107
gpmB 0.0269107
artJ 0.0268817
rssB 0.0268493
dkgA 0.0268493
eptB 0.0268456
ridA 0.0268346
mlaB 0.0268240
ubiF 0.0268097
modE 0.0267906
sdhE 0.0267666
osmB 0.0267409
arnD 0.0267407
amtB 0.0267380
mmuM 0.0267335
sgrR 0.0267094
asmA 0.0267094
malP 0.0266885
hutU 0.0266667
nlpD 0.0266535
cysJ 0.0266383
anmK 0.0266344
rseA 0.0266319
rfaF 0.0266241
pgaD 0.0266086
rcsC 0.0266015
rfaC 0.0265931
yajL 0.0265871
tus 0.0265583
rsmJ 0.0265583
ligB 0.0265487
amiB 0.0265439
ampG 0.0265295
eboE 0.0265293
ybcJ 0.0265252
hpxX 0.0265220
ftsN 0.0265211
efeB 0.0265102
treP 0.0265051
fabY 0.0265008
arnB 0.0264971
ilvI 0.0264865
cpxR 0.0264831
pagP 0.0264766
rseC 0.0264579
ftsP 0.0264579
pitA 0.0264550
pqiA 0.0264436
acrR 0.0264293
bcsG 0.0264188
maeB 0.0264026
sapF 0.0264009
ackA 0.0263959
tatD 0.0263736
mltD 0.0263724
ydgH 0.0263724
mepS 0.0263724
cvpA 0.0263713
cspE 0.0263702
sapD 0.0263583
baeS 0.0263550
sapB 0.0263299
yejM 0.0263299
rutR 0.0263296
ppdD 0.0263158
yjfP 0.0263158
trkH 0.0263017
fucP 0.0263012
livF 0.0263011
dedD 0.0262887
mlaA 0.0262876
artP 0.0262781
tsaC 0.0262453
hemD 0.0261917
dam 0.0261780
malT 0.0261780
yigL 0.0261752
glrR 0.0261673
yfcF 0.0261122
cdsA 0.0260960
wzxE 0.0260916
egtC 0.0260760
lldP 0.0260677
pepV 0.0260557
ravA 0.0260445
npr 0.0260361
wzyE 0.0260361
ppiB 0.0260223
cybB 0.0260201
rffM 0.0259881
aliB 0.0259819
phoQ 0.0259600
mdtH 0.0259459
traI 0.0259419
hemX 0.0259259
pldB 0.0259179
ubiC 0.0259122
proP 0.0258987
pldA 0.0258953
yhdP 0.0258900
ansP 0.0258718
degQ 0.0258572
dacA 0.0258439
yebS 0.0258427
ldtD 0.0258342
mak 0.0258303
sufE 0.0258203
ompA 0.0258193
sufS 0.0257926
pduL 0.0257913
kefC 0.0257732
robA 0.0257649
nadR 0.0257634
paaY 0.0257534
grdA 0.0257534
dppB 0.0257511
yqhD 0.0257437
norW 0.0257393
ilvL 0.0257393
ybfF 0.0257112
artM 0.0257009
yajD 0.0256703
artQ 0.0256650
atpI 0.0256547
fruK 0.0256279
pmrB 0.0256264
alsE 0.0256261
asr 0.0255973
norV 0.0255852
dhbA 0.0255852
envC 0.0255493
bcsE 0.0255319
badI 0.0255319
fdhA 0.0255282
wzzE 0.0255019
mrdB 0.0254678
rbsR 0.0254191
bglG 0.0253870
rlmC 0.0253165
emrA 0.0252960
yeaG 0.0252728
menF 0.0251756
puhB 0.0251380
benC 0.0251355
mrcA 0.0251092
malK 0.0250984
rutC 0.0250915
yegS 0.0250796
leuE 0.0250501
oppA 0.0250408
dhaS 0.0249855
hpnR 0.0249406
mdtC 0.0249307
copA 0.0249187
yycI 0.0249110
paaZ 0.0249023
manX 0.0248941
allB 0.0248804
sctU 0.0248780
dsbA 0.0248633
hcr 0.0248588
bshA 0.0248583
arnF 0.0248479
emrB 0.0248246
arnT 0.0248227
ptsH 0.0248139
skp 0.0247797
cheY1 0.0247462
ampH 0.0247108
qseG 0.0246711
mug 0.0246389
arnC 0.0245902
phoP 0.0245776
cycA 0.0245645
cmpA 0.0245555
bcsS 0.0245549
treB 0.0245491
mauD 0.0244755
gerD 0.0244610
fadL 0.0244565
pepQ 0.0244161
nsrR 0.0243781
aaeB 0.0243626
pyrG 0.0243332
groEL 0.0242991
aaeX 0.0242775
secM 0.0242393
zapG 0.0242157
grdC 0.0241891
mdeB 0.0241851
zitB 0.0240964
pmrA 0.0240826
xrt 0.0240819
eboC 0.0240655
nosD 0.0240569
cas9 0.0240536
comER 0.0240535
rffC 0.0240513
pptA 0.0240385
dpaA 0.0240343
yieH 0.0240089
eutH 0.0239963
rhtA 0.0239928
csx16 0.0239899
dsbG 0.0239860
mglA 0.0239726
bshB1 0.0239636
pgaB 0.0239631
aaeA 0.0239316
iclR 0.0239155
cysP 0.0239006
peaD 0.0238663
aaeR 0.0238501
fdoI 0.0238501
cbpA 0.0238480
manA 0.0238419
csx20 0.0238402
mtrB 0.0237306
treF 0.0236924
bshC 0.0236738
pelA 0.0236531
spoVM 0.0236416
pdxK 0.0236042
sctW 0.0236004
merR 0.0235917
epsG 0.0235365
deoR 0.0235356
rutD 0.0234864
acrD 0.0234152
ascF 0.0234055
bcsO 0.0233881
kynB 0.0233627
grrM 0.0233463
cheW 0.0233123
argO 0.0232687
mepM 0.0232108
arnE 0.0231481
cqsA 0.0231377
rhaT 0.0230396
dmsD 0.0230337
mscK 0.0230318
cyaB 0.0230115
xylE 0.0230005
metX 0.0229983
tehB 0.0229939
ygaH 0.0229142
yycH 0.0228811
tatE 0.0228070
fepD 0.0227273
rutB 0.0227273
hutF 0.0227273
yycF 0.0227139
pdeH 0.0226612
nrdI 0.0226595
katA 0.0226571
leuO 0.0226554
clpC 0.0226399
ssb1 0.0226349
yjgA 0.0226316
hemDX 0.0226300
vanG 0.0226131
nei 0.0225338
pcp 0.0225225
cmr3 0.0225000
hexR 0.0223614
xerS 0.0223514
cho 0.0223267
rsbW 0.0222830
yjjG 0.0222626
nudK 0.0221953
prpR 0.0221580
rhtC 0.0221484
yfcG 0.0221160
yfkAB 0.0221130
ydfZ 0.0220994
nrdF 0.0220617
hemY 0.0220532
safA 0.0220307
nrdE 0.0220016
hyfH 0.0219922
sigW 0.0219512
fepG 0.0218516
katE 0.0217700
cpsG 0.0217647
hisL 0.0217640
grdD 0.0217270
ulaR 0.0216032
lrhA 0.0215869
potE 0.0215606
nrdH 0.0214669
sigJ 0.0214362
rhaR 0.0214286
prsW 0.0213992
aruF 0.0213958
fdnI 0.0213285
prli42 0.0213027
fliZ 0.0212993
bglF 0.0212508
dinF 0.0211340
qoxA 0.0211046
cofE 0.0210804
phnS 0.0209747
xylG 0.0209597
galS 0.0209546
tonB 0.0209513
hxsA 0.0209391
idnO 0.0208589
mdoC 0.0208575
rutA 0.0208535
trbC 0.0208442
sodA 0.0207383
siaD 0.0207191
cueO 0.0206298
hydN 0.0206061
hcaB 0.0205696
treA 0.0205588
pilP 0.0205556
tmpT 0.0205078
yjeM 0.0204898
ydgT 0.0204798
puuD 0.0204678
blh 0.0204212
siaB 0.0203959
uidA 0.0203575
gltD 0.0203471
phnV 0.0203077
wzc 0.0202864
narX 0.0202781
phnW 0.0202639
betT 0.0202572
macA 0.0202492
mdtG 0.0202140
pdeR 0.0201568
qoxD 0.0201523
liaF 0.0201091
glsB 0.0201025
eptA 0.0200528
qoxB 0.0200356
thiK 0.0200343
dolP 0.0200211
yedA 0.0200082
kbl 0.0200049
iraP 0.0199879
glpT 0.0199157
celB 0.0198790
lsrB 0.0198525
cecR 0.0198135
pilO2 0.0197294
ybaL 0.0196987
phnT 0.0196802
fhuE 0.0196629
xrtH 0.0196451
hybC 0.0196319
merT 0.0195640
mocA 0.0195460
nhaC 0.0195353
sctD 0.0195312
fecE 0.0194805
npdG 0.0194335
aliA 0.0194236
rqpR 0.0194114
ureB 0.0193995
esaR 0.0193750
brxD 0.0193111
dkgB 0.0191865
wzy 0.0191847
gutM 0.0191595
phoA 0.0191499
gss 0.0190590
gltP 0.0190350
yieE 0.0189911
crtY 0.0189702
acpA 0.0189626
nlpE 0.0189437
lsrG 0.0189237
traV 0.0189237
vanT 0.0188679
speC 0.0188561
dat 0.0187867
yhjD 0.0187850
potD 0.0187713
dcp 0.0187402
yfiH 0.0187135
gntU 0.0187019
nudI 0.0186916
siaA 0.0186860
stpA 0.0186683
srlB 0.0186683
lpxE 0.0186375
alsK 0.0185644
panS 0.0184964
racE 0.0184575
gguC 0.0184484
drmC 0.0184482
hybO 0.0184275
rffG 0.0182025
miaE 0.0181393
fbaB 0.0180863
nadS 0.0180832
araB 0.0180578
pepE 0.0179570
lysB 0.0179426
bcsF 0.0179294
bdcA 0.0178881
elaB 0.0177830
badH 0.0177552
malM 0.0177482
gutQ 0.0177479
traJ 0.0176648
qseC 0.0175637
nikD 0.0174782
walK 0.0174714
steA 0.0174326
hybG 0.0174238
menI 0.0173757
yvcK 0.0173421
bcsR 0.0173378
acsD 0.0172855
acsE 0.0172745
acsV 0.0172745
yqeH 0.0172609
sitC 0.0172524
traT 0.0171756
ytxJ 0.0171695
gsiA 0.0171149
hha 0.0170789
narQ 0.0170085
bcsC 0.0169492
citZ 0.0169425
hxsD 0.0169389
traW 0.0168955
bshB2 0.0168742
alkA 0.0167364
ccpA 0.0167326
bigR 0.0166881
cybC 0.0166667
lsrA 0.0166568
smg 0.0166370
xpt 0.0166309
cofC 0.0166253
eutS 0.0166028
chbG 0.0166016
dtpA 0.0165929
dnaI 0.0165563
pheL 0.0165543
rcsA 0.0165485
nqrC 0.0165083
nanR 0.0164960
pilG 0.0164766
fucK 0.0164634
ortA 0.0163934
mcrC 0.0163657
glpQ 0.0163644
fecD 0.0163625
iscS 0.0163317
yhcN 0.0163170
yqfB 0.0163043
pdsR 0.0163016
csiE 0.0162885
rihC 0.0162850
gluP 0.0162357
glcC 0.0161111
rlmI 0.0161105
kefF 0.0160810
feoA 0.0160754
oraE 0.0160523
ord 0.0159953
sbmC 0.0159216
gmtY 0.0159216
dsdA 0.0158820
hpaA 0.0158730
murP 0.0158451
hmsP 0.0158451
yhdJ 0.0158328
ortB 0.0158080
coaW 0.0158002
yecC 0.0157947
cspA 0.0157841
argP 0.0157767
mgrB 0.0157710
tagD 0.0157692
ulaD 0.0157332
allC 0.0156926
argT 0.0156721
rutF 0.0156613
lsrC 0.0156532
yraP 0.0156076
lldR 0.0155989
hutP 0.0155815
setB 0.0155473
opgB 0.0154670
aphA 0.0154611
nadN 0.0154540
agp 0.0154286
qoxC 0.0154055
tcyJ 0.0153162
tcyL 0.0153011
mgtS 0.0152769
gmtX 0.0152161
ypdK 0.0151791
cstA 0.0151600
maf 0.0151420
ghrA 0.0151345
ctaG 0.0150754
acrB 0.0150693
exoX 0.0150637
hycA 0.0150188
chaB 0.0150115
frlD 0.0150000
ulaC 0.0150000
mmuP 0.0149856
ulaB 0.0149813
aroP 0.0149701
pduM 0.0149533
pglW 0.0149174
yiiM 0.0149083
amiA 0.0148936
spoVS 0.0148871
pufQ 0.0148791
hsrA 0.0148423
fhuA 0.0148192
ypfM 0.0147511
aztA 0.0146659
mtr 0.0146566
comX 0.0146341
slyB 0.0146252
tssD 0.0146074
tauB 0.0145291
yabA 0.0144817
punR 0.0144695
cofD 0.0144447
cedA 0.0144291
sctE 0.0143805
dacD 0.0143369
yafC 0.0143124
ompC 0.0143102
ybjG 0.0143014
dadX 0.0142450
dhaR 0.0141538
gldE 0.0141230
mtlR 0.0141018
emrD 0.0140704
dnaT 0.0140587
grdH 0.0140575
ivbL 0.0140501
emtA 0.0140073
mtlD 0.0140073
pgaA 0.0140029
dnaC 0.0139988
parA 0.0139949
ciaB 0.0139771
sdaA 0.0139648
tdk 0.0139394
sbnA 0.0139104
mutA 0.0138820
soxS 0.0138805
hycC 0.0138801
livK 0.0138801
entH 0.0138539
marB 0.0138539
tamA 0.0138452
acpH 0.0138365
bepA 0.0138365
nuoA 0.0138304
mntS 0.0138278
feoC 0.0138278
metQ 0.0138203
ldtB 0.0138191
eamA 0.0138191
dcyD 0.0138104
sfsB 0.0138104
marA 0.0138018
avtA 0.0137931
damX 0.0137672
amyA 0.0137615
cyaA 0.0137586
rimL 0.0137500
sra 0.0136646
mdoG 0.0136476
phsA 0.0136392
wcaJ 0.0136223
yceG 0.0136223
dgcA 0.0135952
sda 0.0135294
polB 0.0134887
pheP 0.0134788
garK 0.0134788
purA 0.0134639
dpdE 0.0134529
dltA 0.0134257
sdiA 0.0134065
dltB 0.0133851
lamB 0.0133588
dltD 0.0133563
punC 0.0133404
mvaD 0.0133290
entA 0.0133249
marR 0.0132911
mftB 0.0132802
merF 0.0131941
mdtK 0.0131497
blc 0.0131414
icmT 0.0131265
thrL 0.0131108
ulaA 0.0131086
prpE 0.0130772
dacC 0.0130719
ybiO 0.0130238
allD 0.0128894
hypT 0.0128866
mftA 0.0128811
dltC 0.0128755
perR 0.0128593
uspF 0.0128535
csx17 0.0128370
mrtJ 0.0127714
hpaC 0.0127707
ppcA 0.0127551
phoE 0.0127226
dgoR 0.0127065
srlA 0.0126662
antB 0.0126506
chbA 0.0126050
mliC 0.0125707
ecnB 0.0125549
tauC 0.0125483
fucR 0.0125235
mftF 0.0124303
entC 0.0124301
cof 0.0123967
tnaA 0.0123967
tag 0.0123804
maa 0.0123229
aztD 0.0122309
araJ 0.0122026
mobI 0.0121951
uhpC 0.0121810
blr 0.0121795
azuC 0.0121795
priC 0.0121717
bcsD 0.0121717
entF 0.0121639
tyrP 0.0121372
rnb 0.0121286
holC 0.0121251
agaB 0.0120992
ldtA 0.0120942
ugd 0.0120942
etfB 0.0120942
ccdA 0.0120942
chbC 0.0120919
galF 0.0120919
bglJ 0.0120712
nepI 0.0120635
chbR 0.0120627
uspG 0.0120558
zapC 0.0120558
fumD 0.0120406
azoR 0.0120337
thiG 0.0120265
torC 0.0120219
hslJ 0.0120192
tyrB 0.0120177
sad 0.0120101
sctI 0.0120022
pat 0.0119874
ydcK 0.0119723
porQ 0.0119671
agaD 0.0119647
ybiJ 0.0119497
agaC 0.0119497
zntA 0.0119497
ptrB 0.0119422
fepC 0.0119347
ghoS 0.0119261
rna 0.0119197
yoaE 0.0119048
isdE 0.0118983
tagO 0.0118977
uhpB 0.0118778
ymdB 0.0118676
lplA 0.0118676
fbpC 0.0118443
acrA 0.0118159
ydeE 0.0118086
yobA 0.0117925
tsgA 0.0117836
pspD 0.0117786
kch 0.0117509
cdiI 0.0116779
pucD 0.0116383
uspC 0.0116350
fimA 0.0115995
mftC 0.0115880
entE 0.0115533
rcnR 0.0115385
tamB 0.0115237
lanM 0.0115207
yjfN 0.0115163
lsrR 0.0115012
bssR 0.0114650
rarA 0.0114650
iaaA 0.0114577
uhpA 0.0114548
rnhC 0.0114449
fxsT 0.0114373
efeO 0.0114286
porU 0.0114245
flgP 0.0114141
zinT 0.0114114
bhsA 0.0113924
yhhY 0.0113924
bcsP 0.0113924
nirC 0.0113704
cml 0.0113065
aac.3. 0.0112693
chiP 0.0112500
mdtI 0.0112360
qseB 0.0112360
dmsA 0.0112150
ftsK 0.0111372
alaE 0.0111180
orr 0.0111043
wcaK 0.0110497
pdsS 0.0110081
antC 0.0108761
tauD 0.0108696
dppF 0.0108696
malX 0.0108401
grcA3 0.0108349
ubiK 0.0108074
mngB 0.0107849
actS 0.0107800
feaR 0.0107710
fucI 0.0107463
yodD 0.0107459
caiT 0.0107391
idnD 0.0107188
uhpT 0.0107181
abgT 0.0106583
mdtJ 0.0106562
sprA 0.0106512
melB 0.0106195
hutZ 0.0105850
grdB 0.0105673
gldM 0.0105431
merB 0.0105319
cynR 0.0105012
jag 0.0104680
porV 0.0104551
macB 0.0104227
bstA 0.0103306
pilH 0.0103139
cdaR 0.0102960
nhoA 0.0102762
sspI 0.0102543
antA 0.0102102
eco 0.0101476
gldN 0.0101445
gldL 0.0101227
frmR 0.0101130
gldG 0.0101076
malI 0.0100771
fabV 0.0100711
spoVK 0.0100705
fcrX 0.0100439
entD 0.0100125
traK 0.0099958
amn 0.0099701
sigX 0.0099099
dsdC 0.0099064
yjdN 0.0099010
pucL 0.0098851
ftsI 0.0098468
csiR 0.0098039
pgsC 0.0097245
torR 0.0096263
prdC 0.0096096
petB 0.0095745
soxG 0.0095185
dpdA 0.0095057
eutP 0.0094937
prdA 0.0094899
yqgB 0.0094697
phnR 0.0094451
csaA 0.0094340
oscA 0.0094287
gldA 0.0094197
merE 0.0094103
megL 0.0093977
mupP 0.0093509
lpxO 0.0093284
pgsB 0.0092721
yeiL 0.0092700
benD 0.0092700
traE 0.0092650
ubiX 0.0092643
agaF 0.0092442
sodN 0.0092298
flaG 0.0092144
ycgZ 0.0091968
fetA 0.0091912
hchA 0.0091398
torD 0.0091251
arfA 0.0091006
prdB 0.0090634
gldD 0.0090592
cotE 0.0090470
hpxA 0.0089917
vpsR 0.0089686
yahO 0.0089629
dctM 0.0089233
rihA 0.0088988
lat 0.0088961
yrbN 0.0088889
ycaR 0.0088496
fabL 0.0088452
glyA 0.0088440
ptsJ 0.0087940
melR 0.0087336
lacA 0.0087193
tynA 0.0086527
fliA 0.0086470
azu 0.0086336
vanX 0.0085861
pqqF 0.0085152
merC 0.0083333
plsC 0.0083280
azlC 0.0083173
fosB 0.0083056
yut 0.0082938
moaCB 0.0082906
wcaI 0.0082435
wcaB 0.0082435
fecR 0.0082435
wcaF 0.0082383
wcaD 0.0082383
wcaE 0.0082331
wcaA 0.0082331
xrtG 0.0082331
wcaM 0.0082278
wcaL 0.0082278
wzb 0.0082278
galB 0.0082278
dadA 0.0082237
xrtE 0.0082174
fucA 0.0081967
cpsB 0.0081916
dndA 0.0081916
rhlP 0.0081916
merD 0.0081812
mobF 0.0081633
dptG 0.0081159
topB 0.0081125
dptF 0.0081112
yihU 0.0080997
csgH 0.0079804
chiQ 0.0079027
thpD 0.0078557
metL 0.0077705
dptH 0.0077381
lacB 0.0077305
puuR 0.0076923
yiaA 0.0076923
cbpM 0.0076287
alaA 0.0075853
csgD 0.0075094
cpdB 0.0075014
clcB 0.0074488
mftE 0.0073913
kbaZ 0.0073620
rutG 0.0073574
agaV 0.0073491
tctD 0.0073171
yjbE 0.0073082
dsdX 0.0072993
glaH 0.0072508
agaW 0.0072142
prpD 0.0071247
guaC 0.0071219
ptcA 0.0071048
hag 0.0070671
csgE 0.0070340
nlpA 0.0069930
imm45 0.0069753
hcaR 0.0069401
erm 0.0069388
torS 0.0069284
cirA 0.0069182
kapD 0.0069085
doeB2 0.0068879
fecC 0.0068707
resA 0.0068318
cadC 0.0067818
cadB 0.0067776
gldF 0.0067644
sucB 0.0067420
csiD 0.0067196
mciZ 0.0067073
hpaX 0.0067032
mvk 0.0066854
cfaB 0.0066852
dpdF 0.0064103
mftR 0.0063927
ves 0.0063898
yebF 0.0063816
bldC 0.0063748
wcaC 0.0063613
tar 0.0063452
arsR 0.0062893
tsr 0.0062696
senB 0.0062461
recT 0.0062228
katB 0.0062217
nrfB 0.0062112
traM 0.0062084
tmaR 0.0061920
mraW 0.0061690
sbnB 0.0060293
mapR 0.0059556
whiG 0.0059297
pdsO 0.0058928
bphC 0.0058309
oppD 0.0057870
mmsA 0.0057682
tmpR 0.0057435
csgC 0.0056962
lacG 0.0056948
csgG 0.0056675
csgF 0.0056639
fxlM 0.0056604
ompF 0.0056426
tdcD 0.0056285
secA2 0.0056232
wzzB 0.0056145
aztC 0.0056085
sigB 0.0055928
maoP 0.0055797
adiC 0.0055797
bglA 0.0055385
egtA 0.0054757
yidZ 0.0054745
wzz.fepE. 0.0054645
agaR 0.0052994
mftD 0.0052402
speF 0.0052174
xapA 0.0052023
fos 0.0051813
mptB 0.0051650
csgA 0.0051151
yghX 0.0051151
melA 0.0051078
hisM 0.0051020
sodX 0.0050973
gpW 0.0050826
mdcD 0.0050157
ant.6. 0.0050063
algB 0.0049614
lafA 0.0049536
prdD 0.0049413
isdC 0.0049140
pgtP 0.0049110
yfbV 0.0048930
tet 0.0048930
prcB 0.0048065
valS 0.0047928
mihF 0.0047651
hpaB 0.0047598
fadD1 0.0046992
vanA 0.0046729
prcA 0.0046512
nrfF 0.0044743
sul1 0.0044728
gadC 0.0044304
dtpB 0.0043641
fleN 0.0043526
exaA 0.0043077
caiB 0.0042866
mngA 0.0042840
torE 0.0042527
prrA 0.0042373
helR 0.0042056
gldJ 0.0041651
ripC 0.0041494
mshC 0.0041436
mshD 0.0041068
moeZ 0.0039897
mshB 0.0039360
acuI 0.0039260
dop 0.0038822
lsrD 0.0038314
mca 0.0038245
ttrA 0.0038217
tadF 0.0038192
sctP 0.0038168
ycaC 0.0038119
sinI 0.0038071
traU 0.0038047
dbpB 0.0037999
ttrB 0.0037951
senA 0.0037453
sepH 0.0037329
osmV 0.0037290
osmW 0.0037221
nanQ 0.0037198
vasI 0.0037060
ispZ 0.0037037
sspO 0.0036765
arc 0.0036388
yfcC 0.0036326
trmY 0.0036276
mshA 0.0036045
nucS 0.0035639
sctF 0.0035545
alg8 0.0035088
spoIIIJ 0.0034551
algG 0.0034266
dhbC 0.0033917
aztB 0.0033520
rsrA 0.0033413
essB 0.0032841
pafA 0.0032303
ansB 0.0032086
ytkD 0.0031847
wbpD 0.0031827
spoVID 0.0031797
tapT 0.0031786
rhdA 0.0031786
sicA 0.0031706
caiD 0.0031289
recU 0.0031182
agaE 0.0031172
gabP 0.0030864
yhfZ 0.0030769
bsh 0.0030706
napB 0.0030656
nrfE 0.0030618
nanA 0.0030266
fadD2 0.0029836
refZ 0.0029718
heR 0.0029551
sirA 0.0029000
gerPC 0.0028868
mecA 0.0028759
nrfC 0.0028393
motP 0.0028345
eccD 0.0028193
gbcA 0.0028027
rnjA 0.0028011
dgcB 0.0027980
esaA 0.0027412
yugI 0.0026954
eccB 0.0026042
spxA 0.0025726
comGG 0.0025536
narP 0.0025526
phnO 0.0025494
traB 0.0025397
caiC 0.0025063
ucpA 0.0025063
mreBH 0.0024888
speFL 0.0024799
napD 0.0024768
napC 0.0024390
ebgR 0.0024346
gpsB 0.0023874
pgsW 0.0023838
lysW 0.0023571
eccCa 0.0023433
scnC 0.0023433
pbp4b 0.0023351
ezrA 0.0022857
essA 0.0022844
csn2 0.0022599
yhaM 0.0022492
gbcB 0.0022472
hepT 0.0022252
ysxE 0.0021906
gldB 0.0019936
pth2 0.0019145
mobQ 0.0019120
sspK 0.0019108
tdcC 0.0018844
rclC 0.0018809
xrtN 0.0018530
menG 0.0018484
caiA 0.0018405
atuC 0.0018182
mksF 0.0017741
atuD 0.0017720
mksE 0.0017720
mksB 0.0017699
ygjK 0.0017689
ripB 0.0017637
fosM 0.0017626
tdcB 0.0017544
ebgA 0.0017222
dpaB 0.0016854
cdaS 0.0016741
lysX 0.0016650
yutH 0.0016358
lacD 0.0016138
fgd 0.0015643
merTP 0.0015416
comGD 0.0015221
comGB 0.0014771
sigM 0.0014253
comGC 0.0013405
comGA 0.0013292
gntA 0.0012682
dadR 0.0012658
aes 0.0012602
phaQ 0.0012602
tet.M. 0.0012516
fsxC 0.0012500
aroKB 0.0012500
motS 0.0012484
phzG 0.0012461
fdh 0.0012361
blaI 0.0012330
nadX 0.0012285
tet.W. 0.0012262
lrgA 0.0012255
norA 0.0012225
msrAB 0.0012158
rox 0.0012116
bkdR 0.0011955
cwsA 0.0011806
vrrA 0.0011792
ndoA 0.0011703
lrgB 0.0011655
gbpA 0.0011628
algK 0.0011481
mdo 0.0011474
oprI 0.0011338
ypjB 0.0011280
carD 0.0011007
comGF 0.0010747
bcd 0.0010689
yqiS 0.0010684
spx 0.0009847
lanKC 0.0007968
eccE 0.0007092
gldC 0.0006394
kdpDN 0.0006369
gltJ 0.0006361
comD 0.0006361
dpiA 0.0006345
amyS 0.0006345
mftM 0.0006341
lacC 0.0006333
ampR 0.0006317
rbpA 0.0006317
mtrA 0.0006309
ttfA 0.0006289
gatB.aspS 0.0006285
usfY 0.0006274
manB 0.0006246
iniR 0.0006169
comE 0.0006161
gtfB 0.0006086
regX 0.0006035
gwsG 0.0006024
fbpA 0.0005995
kasB 0.0005970
ripA 0.0005967
nei2 0.0005963
gwsS 0.0005956
hadC 0.0005949
tenI 0.0005945
aftC 0.0005942
fadD6 0.0005942
ponA2 0.0005935
clpC1 0.0005935
lmeA 0.0005921
asp3 0.0005889
asp2 0.0005882
marP 0.0005875
pbpA 0.0005862
egtE 0.0005760
metI 0.0005757
sspL 0.0005718
hadB 0.0005698
asp1 0.0005659
mhuD 0.0005650
eccA 0.0005432
spxB 0.0005269
fabG1 0.0005216
inhA 0.0005208
fadD32 0.0005195
mftG 0.0005005
fadH 0.0004985
lpqB 0.0004980
pks13 0.0004946
cmrA 0.0004829
kstR 0.0004726
xrtF 0.0004598
gldI 0.0004545
gldK 0.0004062
crgA 0.0003293
mycP 0.0003228
aspC 0.0000000
fabH 0.0000000
cspC 0.0000000
adiA 0.0000000
ramB 0.0000000
pcaR 0.0000000
desA 0.0000000
hcnB 0.0000000
hcnC 0.0000000
coaC 0.0000000
prsA 0.0000000
yjcZ 0.0000000
rnfB 0.0000000
pvdM 0.0000000
colR 0.0000000
cpt 0.0000000
glpO 0.0000000
sph 0.0000000
dhaQ 0.0000000
yhfH 0.0000000
qcrB 0.0000000
mmgD 0.0000000
ctaF 0.0000000
ctaE 0.0000000
abbA 0.0000000
mtnW 0.0000000
comGE 0.0000000
gerE 0.0000000
ytzI 0.0000000
pbp3 0.0000000
ddaH 0.0000000
tapA 0.0000000
csoR 0.0000000
tgmC 0.0000000
kstD 0.0000000
ngcE 0.0000000
ndgR 0.0000000
sigR 0.0000000
afsQ1 0.0000000
tamR 0.0000000
cdgB 0.0000000
femX 0.0000000
snpA 0.0000000
wblA 0.0000000
bldG 0.0000000
fxsB 0.0000000
tgmB 0.0000000
tgmA 0.0000000
chpH 0.0000000
bldD 0.0000000
nbtC 0.0000000
acpM 0.0000000
cei 0.0000000
mftR2 0.0000000
fadD5 0.0000000
lanL 0.0000000
mgt 0.0000000
lysE 0.0000000
eccCb 0.0000000
fadD4 0.0000000
fadD12 0.0000000
fadD8 0.0000000
hadA 0.0000000
whiB1 0.0000000
mrx1 0.0000000
mbtN 0.0000000
mbtM 0.0000000
ripD 0.0000000
kasA 0.0000000
mbtG 0.0000000
mbtD 0.0000000
clpP2 0.0000000
fadD17 0.0000000
kstR2 0.0000000
fadD3 0.0000000
lipE 0.0000000
mtfM 0.0000000
shbA 0.0000000
grcA2 0.0000000
gsmA 0.0000000
otr.A. 0.0000000
lxmK 0.0000000
hbdH 0.0000000
pbp1b 0.0000000
pbp1a 0.0000000
vicK 0.0000000
pbp2b 0.0000000
trpX 0.0000000
macP 0.0000000
pepC 0.0000000
pbp2X 0.0000000
pbp2a 0.0000000
rexB 0.0000000
fasR 0.0000000
liaX 0.0000000
pimB 0.0000000
ctpC 0.0000000
fadD11 0.0000000
secY2 0.0000000
pks2 0.0000000
ygs 0.0000000
murL 0.0000000
cmdF 0.0000000
opuFB 0.0000000
tdc 0.0000000

fdxB - Electron Transfer Mediator hyp genes - Hydrogenase genes - oxidation of H2

4 Next Steps

Lots of mining remain. 1.) Going to focus on glycine betaine genes 2.) Look at different types of metrics instead of just Jaccard 3.) Try to add extra genes in through BLAST/HMMR searches of the different genomes

---
title: "FISH546 Project: Association Study Across Bacterial Genes"
author: "Samuel Cryan"
date: "2023-04-13"
output: 
  html_document:
    theme: readable
    highlight: zenburn
    toc: true
    toc_float: true
    number_sections: true
    code_folding: show
    code_download: true
---

# Project Overview

There are a lot of bacterial genomes out there, each with a lot of genes. If you looked at a random genome, and saw X gene, what are the odds that Y gene is also present?

How are genes associated/correlated across microbial species? Are there genes that always appear together? And do these reveal any unknown potential connections between genes?

This project offers a workflow to answer some of these questions. It downloads all bacterial reference genomes from NCBI and finds the presence/absence of every named gene. It then computes the Jaccard Similarity Score between every abundant (>100 hits) gene. Finally, it allows you to search specific genes and see the closest comparisons.


## Weekly Progress Report:

Week 1+2: Not in Class

Week 3: Generated simulated data and created system to quickly generate a Jaccard score from a presence/absence matrix (under simulated_data_test.R)

Week 4: Worked on devloping a tool to download reference genomes and create a presence/absence matrix - used NCBI API to download one genome at a time (under download_script.R)

Week 5: Continued working on a download tool, eventually got NCBI datasets to work. Finalized the presence/absence matrix code. Prepared presentation. (under 01-ncbi_download.Rmd)

Week 6: Created a 17,022 genes x 17,056 genomes presence/absence matrix using premade code, ran some initial tests on genes of interest and saw expected correlations (genes within same operon were correlated, genes associated with central carbon metabolism were correlated with each other) (01-ncbi_download.Rmd into 02-full_matrix_test.Rmd)

Week 7: Generated a 17,022 x 17,022 correlation matrix with the Jaccard Similarity score of each gene-gene pair (currently running) (02-full_matrix_test.Rmd) - could also filter out all genes that appear in fewer than X genomes to speed up the calculation.

Week 8: Identify the strongest correlations and research those genes

Week 9: Compare the distribution of probabilities from each gene to each other to search for odd distributions

Week 10: Test other metrics instead of Jaccard and see if specific genes have similar correlations

### ADDITIONAL LINKS:
Here are additional links to show the project

01 - https://rpubs.com/TheOneCalledSam/1039869

02 - https://rpubs.com/TheOneCalledSam/1039868


```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
knitr::opts_chunk$set(
  echo = TRUE,         # Display code chunks
  eval = FALSE,         # Evaluate code chunks
  warning = FALSE,     # Hide warnings
  message = FALSE,     # Hide messages
  fig.width = 6,       # Set plot width in inches
  fig.height = 4,      # Set plot height in inches
  fig.align = "center" # Align plots to the center
)

```

# Presence/Absence Matrix Generation

## Take in initial NCBI taxons and generate a presence/absence matrix
Using the datasets package from NCBI

```{r notes, include=FALSE}

#Taxa Run So Far for merged_genes.csv:
#acidobacteriota
#aquificota
#Deltaproteobacteria
#Bacteroidota
#Chloroflexota 
#Bacillota - dominates currently
#Cyanobacteriota
#Mycoplasmatota

```

Download GFF of every bacterial reference genome
```{bash}
cd ../data

rm -r ncbi_dataset
rm README.md

/home/shared/datasets download genome taxon "bacteria" --annotated --reference --include gff3
unzip ncbi_dataset.zip
```

Extract the named genes from each genome and compile into a giant list
```{r Presence}
library(data.table)
library(tidyverse)
accession_list = dir(path="../../data/ncbi_dataset/data",pattern="GCF*")

gene_presence_list <- NULL

gene_presence_list <- lapply(accession_list, function(accession_number_i){
  filename <- paste0("../../data/ncbi_dataset/data/", accession_number_i, "/genomic.gff")
  # Apparently the files have different length headers so we need to skip them dynamically
  # from https://stackoverflow.com/q/18920777
  # This makes the reader much slower but I can't figure out how to avoid it otherwise
  lineskip_command <- paste("grep -v '^#'", filename)
  # fread is data.table's fast table reader function
  # we also index for column 3 equaling "gene" at the end here
  tab_i <- fread(cmd=lineskip_command, sep = "\t", fill = TRUE, )[V3=="gene"]
  
  
  # Approach number 1 - downloading the GeneID name
  # This regex is a lookbehind (?<=) and grabs all digits (\\d) following 
  # the lookbehind match
  # gene_ids <- as.numeric(str_extract(tab_i$V9, pattern = "(?<=Dbxref=GeneID:)\\d+"))
  
  # Approach number 2 - using the gene name technique
  gene_names <- str_extract(tab_i$V9, pattern="(?<=gene=)[^;]*(?=;)")
  
  # Remove all but 1 NA (NA used as a positive control - something that will appear in everything)
  gene_names <- unique(gene_names, incomparables=FALSE, fromLast=FALSE, by=seq_along(gene_names))
  
  # Rename to avoid name collision on merging
  output_table <- data.table(1, gene_names)
  names(output_table) <- c(accession_number_i, "gene_names")
  return(output_table)
})
```

Reduce everything into a giant matrix
```{r full} 
genes_merged <- purrr::reduce(gene_presence_list, dplyr::full_join, by="gene_names")
genes_merged[is.na(genes_merged)] <- 0
```

Save matrix to a CSV
``` {r save}
write.csv(genes_merged, "../../data/merged_genes_full.csv", row.names=TRUE)
```

### ADD ADDITIONAL GENOMES TO CURRENT MATRIX
If adding genomes to the current merged_genes.csv (NOTE: not merged_genes_full.csv) 
```{r merge_with_current}
# Load in the current 
genes_merged_old <- read.csv("../../data/merged_genes.csv",row.names = 1, header= TRUE)

# Reduce using the merge function, keeping all rows, accumulating genes each time
genes_merged <- purrr::reduce(gene_presence_list, dplyr::full_join, by="gene_names")

# Combine the Two
genes_merged_new <- merge(genes_merged_old, genes_merged, by="gene_names",all = TRUE)
genes_merged_new[is.na(genes_merged_new)] <- 0

write.csv(genes_merged_new, "../../data/merged_genes.csv", row.names=TRUE)

```

## Plot the full presence/absence matrix
```{r,cache=TRUE, eval=TRUE}

library(tidyverse)

genes_merged <- read.csv("../../data/merged_genes_full.csv",row.names = 1, header= TRUE)

genes_merged %>% 
  as.data.frame() %>%
  pivot_longer(-c(gene_names), names_to = "genomes", values_to = "presence") %>%
  ggplot(aes(x=genomes, y=gene_names, fill=presence)) +   
  theme(axis.text.x=element_blank(), #remove x axis labels
        axis.ticks.x=element_blank(), #remove x axis ticks
        axis.text.y=element_blank(),  #remove y axis labels
        axis.ticks.y=element_blank()  #remove y axis ticks
        ) + 
  geom_tile()

```

# Generation of Jaccard Matrix
As the metric for association, I decided to use the Jaccard Similarity Score - the number of matching hits, divided by all possible hits between the two. The higher the score, the more similar the distribution of those genes across genomes.
![jaccard](../images/jaccard.png)

## The matrix
```{r Jaccard_Full, eval=FALSE}
# Generate the Counts of the Genes
gene_count =as.data.frame(rowSums(genes_merged))
gene_count <- tibble::rownames_to_column(gene_count, "gene_name")

# Exclude any gene with fewer than min_num_genes hits
min_num_genes <- 100
gene_count$min <- ifelse(gene_count$`rowSums(genes_merged)` > min_num_genes, 1, 0)
genes_merged <- tibble::rownames_to_column(genes_merged, "gene_name")

# Filter on main
genes_merged = genes_merged[as.logical(gene_count$min),]
gene_list = genes_merged[,"gene_name"]

genes_merged <- tibble::remove_rownames(genes_merged)
genes_merged <- tibble::column_to_rownames(genes_merged, "gene_name")


# Calculate Jaccard Similarity Matrix
holder <- lapply(gene_list, function(gene_i) {

  ref_gene <- as.numeric(genes_merged[gene_i,])
  gene_matches <- colSums(t(genes_merged)+ref_gene==2)
  gene_totalhits <- colSums(t(genes_merged)+ref_gene>0)
  gene_matches/gene_totalhits
  })

jaccard_matrix <- do.call(rbind, holder)
row.names(jaccard_matrix) <- gene_list

write.csv(jaccard_matrix, "../../data/jaccard_matrix.csv", row.names=TRUE)
```

![Heatmap](../images/HeatMap.PNG)

Notice that it creates 3 clusters. I decided to more closely analyze those clusters

## Cluster analysis
First, I need to verify the dendrogram - cophenetic correlation ends up being around 0.78, not amazing but reasonable to work with.
```{r}
hc = hclust(dist(jaccard_matrix))
plot(hc)
# Is it possible to put data into dendrogram - close to 1 is good, close to 0 is bad
cophen = cophenetic(hc)
verify = cor(dist(jaccard_matrix), cophen)
```


``` {r}
# Order the Abundance for correct mapping to the plot
hc_labels = as.data.frame(hc$labels)
hc_labels$index = 1:length(hc$labels)

gene_abund_index = merge(hc_labels,gene_count,by.x="hc$labels",by.y="gene_name")

gene_abund_index$order <- hc$order
gene_ordered = arrange(gene_abund_index, index)[hc$order,]
```

``` {r plot cluster}
colorfun = colorRamp(c("red","blue"))

cl_members <- cutree(tree = hc, k = 3)
plot(x = hc, labels =  row.names(hc), cex = 0.5, hang= -1)
points(x=1:3686,y=numeric(3686),col=rgb(colorfun(gene_count$abundance[hc$order]), maxColorValue = 255))
# rect.hclust(tree = hc, k = 3, which = 1:3, border = 1:3, cluster = cl_members)

pdf("~/sam-associationstudy/output/gene_clusters.pdf",width = 250)
plot(x = hc, labels =  row.names(hc), cex = 0.5, hang= -1)
points(x=1:3686,y=numeric(3686),col=rgb(colorfun(gene_ordered$abundance), maxColorValue = 255))
dev.off()
```

Blue circles represent very abundant genes, while red circles represent very unique genes.
![Cluster](../images/cluster.png)

## Individual Gene Analysis - examples

Cluster 1 Gene Distribution: (Ribosome-recycling factor)
``` {r frr_example, eval=TRUE, cache=TRUE}
library(tidyverse)
jaccard_matrix = read.csv("../../data/jaccard_matrix.csv", row.names=1, header=TRUE)
ggplot()+geom_histogram(aes(jaccard_matrix[,"frr"]),bins = 200)

```

Cluster 2 Gene Distribution: (Glycine/sarcosine N-methyltransferase)
``` {r chaA_example, eval=TRUE, cache=TRUE}
ggplot()+geom_histogram(aes(jaccard_matrix[,"bsmA"]),bins = 200)

```

Cluster 3 Gene Distribution: (xanthine dehydrogenase)
``` {r pucD_example, eval=TRUE, cache=TRUE}
ggplot()+geom_histogram(aes(jaccard_matrix[,"pucD"]),bins = 200)

```

Table Showing the Closest Match 
```{r table, eval=TRUE}
library(knitr)

ref_gene = "nifH"
fav_genes = sort(jaccard_matrix[ref_gene,],decreasing=TRUE)

kable(t(fav_genes), caption = "Sorted list of the genes with the closest association")
```
fdxB - Electron Transfer Mediator
hyp genes - Hydrogenase genes - oxidation of H2

# Next Steps
Lots of mining remain.
1.) Going to focus on glycine betaine genes
2.) Look at different types of metrics instead of just Jaccard
3.) Try to add extra genes in through BLAST/HMMR searches of the different genomes


