Use miRTrace [@kang2018] to identify taxonomic origins of miRNA sequencing data.

NOTE: This requires you to have previously run 08-Pmea-sRNAseq-trimming.Rmd, as the code relies on the trimmed reads output from that code.


Inputs:

Outputs:

  • mirtrace.config: A miRTrace config file. A comma-separated file with this layout (one FastQ per line): /path/to/fastq,custom_sample_name

  • “Collapsed” (i.e. unique sequences only) FastA for each corresponding input FastQ.

  • mirtrace-report.html: HTML-formatted report generated by miRTrace.

  • mirtrace-stats-contamination_basic.tsv: Tab-delimited report with counts of sequences from each collapsed FastAs having matches to known miRNAs within each of the miRTrace Clades.

  • mirtrace-stats-contamination_detailed.csv: Tab-delimited report of only Clades with which sequences were matched, along with the corresponding miRNA families in each clade, and the sequence counts.

1 Create a Bash variables file

This allows usage of Bash variables across R Markdown chunks.

{
echo "#### Assign Variables ####"
echo ""

echo "# Data directories"
echo 'export deep_dive_dir=/home/shared/8TB_HDD_02/shedurkin/deep-dive'
echo 'export output_dir_top=${deep_dive_dir}/F-Pmea/output/09-Pmea-sRNAseq-miRTrace'
echo 'export trimmed_reads_dir=${deep_dive_dir}/F-Pmea/output/08-Pmea-sRNAseq-trimming/trimmed-reads'
echo ""

echo "# Paths to programs"
echo 'export mirtrace=/home/sam/programs/mambaforge/envs/miRTrace_env/bin/mirtrace'
echo ""

echo "# Set number of CPUs to use"
echo 'export threads=40'
echo ""

echo "export fastq_pattern='*flexbar_trim.25bp*.gz'"

echo "# Programs associative array"
echo "declare -A programs_array"
echo "programs_array=("
echo '[mirtrace]="${mirtrace}"'
echo ")"
} > .bashvars

cat .bashvars
#### Assign Variables ####

# Data directories
export deep_dive_dir=/home/shared/8TB_HDD_02/shedurkin/deep-dive
export output_dir_top=${deep_dive_dir}/F-Pmea/output/09-Pmea-sRNAseq-miRTrace
export trimmed_reads_dir=${deep_dive_dir}/F-Pmea/output/08-Pmea-sRNAseq-trimming/trimmed-reads

# Paths to programs
export mirtrace=/home/sam/programs/mambaforge/envs/miRTrace_env/bin/mirtrace

# Set number of CPUs to use
export threads=40

export fastq_pattern='*flexbar_trim.25bp*.gz'
# Programs associative array
declare -A programs_array
programs_array=(
[mirtrace]="${mirtrace}"
)

2 Create miRTrace config file

# Load bash variables into memory
source .bashvars

# Declare array
fastq_array=()

# Populate array
fastq_array=(${trimmed_reads_dir}/${fastq_pattern})

# Loop through read pairs
# Increment by 2 to process next pair of FastQ files
if [ -f "${output_dir_top}/mirtrace.config" ]; then
  echo "mirtrace.config already exists. Nothing to do."
  
else

  for (( i=0; i<${#fastq_array[@]} ; i+=2 ))
  do
    # Use first three parts of filename to create short sample name
    R1_name=$(echo "${fastq_array[i]##*/}" | awk -F "-" '{print $1"-"$2"-"$3}')
    R2_name=$(echo "${fastq_array[i+1]##*/}" | awk -F "-" '{print $1"-"$2"-"$3}')
    echo "${fastq_array[i]},${R1_name}_1"
    echo "${fastq_array[i+1]},${R2_name}_2"
  done >> "${output_dir_top}/mirtrace.config"

fi

cat "${output_dir_top}/mirtrace.config"
mirtrace.config already exists. Nothing to do.
/home/shared/8TB_HDD_02/shedurkin/deep-dive/F-Pmea/output/08-Pmea-sRNAseq-trimming/trimmed-reads/sRNA-POC-47-S1-TP2.flexbar_trim.25bp_1.fastq.gz,sRNA-POC-47_1
/home/shared/8TB_HDD_02/shedurkin/deep-dive/F-Pmea/output/08-Pmea-sRNAseq-trimming/trimmed-reads/sRNA-POC-47-S1-TP2.flexbar_trim.25bp_2.fastq.gz,sRNA-POC-47_2
/home/shared/8TB_HDD_02/shedurkin/deep-dive/F-Pmea/output/08-Pmea-sRNAseq-trimming/trimmed-reads/sRNA-POC-48-S1-TP2.flexbar_trim.25bp_1.fastq.gz,sRNA-POC-48_1
/home/shared/8TB_HDD_02/shedurkin/deep-dive/F-Pmea/output/08-Pmea-sRNAseq-trimming/trimmed-reads/sRNA-POC-48-S1-TP2.flexbar_trim.25bp_2.fastq.gz,sRNA-POC-48_2
/home/shared/8TB_HDD_02/shedurkin/deep-dive/F-Pmea/output/08-Pmea-sRNAseq-trimming/trimmed-reads/sRNA-POC-50-S1-TP2.flexbar_trim.25bp_1.fastq.gz,sRNA-POC-50_1
/home/shared/8TB_HDD_02/shedurkin/deep-dive/F-Pmea/output/08-Pmea-sRNAseq-trimming/trimmed-reads/sRNA-POC-50-S1-TP2.flexbar_trim.25bp_2.fastq.gz,sRNA-POC-50_2
/home/shared/8TB_HDD_02/shedurkin/deep-dive/F-Pmea/output/08-Pmea-sRNAseq-trimming/trimmed-reads/sRNA-POC-53-S1-TP2.flexbar_trim.25bp_1.fastq.gz,sRNA-POC-53_1
/home/shared/8TB_HDD_02/shedurkin/deep-dive/F-Pmea/output/08-Pmea-sRNAseq-trimming/trimmed-reads/sRNA-POC-53-S1-TP2.flexbar_trim.25bp_2.fastq.gz,sRNA-POC-53_2
/home/shared/8TB_HDD_02/shedurkin/deep-dive/F-Pmea/output/08-Pmea-sRNAseq-trimming/trimmed-reads/sRNA-POC-57-S1-TP2.flexbar_trim.25bp_1.fastq.gz,sRNA-POC-57_1
/home/shared/8TB_HDD_02/shedurkin/deep-dive/F-Pmea/output/08-Pmea-sRNAseq-trimming/trimmed-reads/sRNA-POC-57-S1-TP2.flexbar_trim.25bp_2.fastq.gz,sRNA-POC-57_2

3 Run miRTrace

# Load bash variables into memory
source .bashvars

time \
${programs_array[mirtrace]} trace \
--config ${output_dir_top}/mirtrace.config \
--write-fasta \
--num-threads ${threads} \
--output-dir ${output_dir_top} \
--force

tree -h ${output_dir_top}
miRTrace version 1.0.1 starting. Processing 10 sample(s).
NOTE: reusing existing output directory, outdated files may be present.
/home/shared/8TB_HDD_02/shedurkin/deep-dive/F-Pmea/output/09-Pmea-sRNAseq-miRTrace/qc_passed_reads.all.collapsed/sRNA-POC-50-S1-TP2.flexbar_trim.25bp_1.fasta (Permission denied)
I/O Error, aborting.

real    0m28.418s
user    4m19.668s
sys 0m7.212s
/home/shared/8TB_HDD_02/shedurkin/deep-dive/F-Pmea/output/09-Pmea-sRNAseq-miRTrace
├── [1.6K]  mirtrace.config
├── [302K]  mirtrace-report.html
├── [ 563]  mirtrace-stats-contamination_basic.tsv
├── [1.1K]  mirtrace-stats-contamination_detailed.tsv
└── [4.0K]  qc_passed_reads.all.collapsed
    ├── [ 71M]  sRNA-POC-47-S1-TP2.flexbar_trim.25bp_1.fasta
    ├── [ 89M]  sRNA-POC-47-S1-TP2.flexbar_trim.25bp_2.fasta
    ├── [ 75M]  sRNA-POC-48-S1-TP2.flexbar_trim.25bp_1.fasta
    ├── [ 84M]  sRNA-POC-48-S1-TP2.flexbar_trim.25bp_2.fasta
    ├── [ 68M]  sRNA-POC-50-S1-TP2.flexbar_trim.25bp_1.fasta
    ├── [ 83M]  sRNA-POC-50-S1-TP2.flexbar_trim.25bp_2.fasta
    ├── [ 99M]  sRNA-POC-53-S1-TP2.flexbar_trim.25bp_1.fasta
    ├── [116M]  sRNA-POC-53-S1-TP2.flexbar_trim.25bp_2.fasta
    ├── [120M]  sRNA-POC-57-S1-TP2.flexbar_trim.25bp_1.fasta
    └── [129M]  sRNA-POC-57-S1-TP2.flexbar_trim.25bp_2.fasta

1 directory, 14 files

4 Results

4.1 Read in table as data frame

mirtrace.detailed.df <- read.csv("../output/09-Pmea-sRNAseq-miRTrace/mirtrace-stats-contamination_detailed.tsv", sep = "\t", header = TRUE)

str(mirtrace.detailed.df)
'data.frame':   8 obs. of  14 variables:
 $ CLADE        : chr  "nematode" "insects" "insects" "lophotrochozoa" ...
 $ FAMILY_ID    : int  86 14 957 1996 2689 1994 1998 3122
 $ MIRBASE_IDS  : chr  "asu-miR-86,bma-miR-86,cbn-miR-86,cbr-miR-86,cel-miR-86,crm-miR-86,hco-miR-86,prd-miR-86,str-miR-86" "aae-miR-14,aga-miR-14,ame-miR-14,api-miR-14,bmo-miR-14,cqu-miR-14,dan-miR-14,der-miR-14,dgr-miR-14,dme-miR-14,d"| __truncated__ "aae-miR-957,aga-miR-957,cqu-miR-957,dme-miR-957,dps-miR-957,dsi-miR-957,dvi-miR-957" "cte-miR-1996a" ...
 $ SEQ          : chr  "TAAGTGAATGCTTTGCCACA" "TCAGTCTTTTTCTCTCTCCT" "TGAAACCGTCCAAAACTGAG" "CTCAAGTGAGGTCAGTGCTG" ...
 $ sRNA.POC.47_1: int  0 0 0 0 2 0 1 0
 $ sRNA.POC.47_2: int  0 0 0 0 0 0 0 0
 $ sRNA.POC.48_1: int  0 2 0 0 0 0 0 0
 $ sRNA.POC.48_2: int  0 0 0 0 0 0 0 0
 $ sRNA.POC.50_1: int  0 0 0 0 0 0 0 0
 $ sRNA.POC.50_2: int  0 0 0 0 0 0 0 0
 $ sRNA.POC.53_1: int  0 0 1 1 0 0 0 1
 $ sRNA.POC.53_2: int  0 0 0 0 0 0 0 0
 $ sRNA.POC.57_1: int  3 2 0 0 0 1 0 0
 $ sRNA.POC.57_2: int  0 0 0 0 0 0 0 0

4.2 Number of samples with matches

# Select columns corresponding to sample names
sample_columns <- mirtrace.detailed.df %>%
  select(starts_with("sRNA.POC."))

# Calculate the sum for each column
sample_sums <- colSums(sample_columns)

# Count the number of columns with a sum greater than 0
samples_with_sum_gt_0 <- sum(sample_sums > 0)

paste("Number of samples with matches: ", samples_with_sum_gt_0)
[1] "Number of samples with matches:  4"

4.3 Percentage of samples with matches

# Total number of samples (columns)
total_samples <- ncol(sample_columns)

# Percentage of samples with sums greater than 0
percentage_samples_gt_0 <- (samples_with_sum_gt_0 / total_samples) * 100

paste("Percentage of samples with matches: ", percentage_samples_gt_0)
[1] "Percentage of samples with matches:  40"

4.4 Number of clades with matches

unique_clade_count <- mirtrace.detailed.df %>%
  distinct(CLADE) %>%    # Get unique entries in CLADE column
  count()               # Count the number of unique entries



paste("Number of clades with matches:", unique_clade_count)
[1] "Number of clades with matches: 4"

4.5 miRTrace table

To make them easier to see, counts > 0 are highlighted in green.

mirtrace.detailed.df %>%
  mutate(
    across(
      starts_with("sRNA"),
      ~cell_spec(
        .,
        background = ifelse(
          . > 0,
          "lightgreen",
          "white"
          )
        )
      )
    ) %>%
  kable(escape = F, caption = "Clades identified as having sRNAseq matches.") %>%
  kable_styling("striped") %>% 
  scroll_box(width = "100%", height = "500px")
Table 4.1: Clades identified as having sRNAseq matches.
CLADE FAMILY_ID MIRBASE_IDS SEQ sRNA.POC.47_1 sRNA.POC.47_2 sRNA.POC.48_1 sRNA.POC.48_2 sRNA.POC.50_1 sRNA.POC.50_2 sRNA.POC.53_1 sRNA.POC.53_2 sRNA.POC.57_1 sRNA.POC.57_2
nematode 86 asu-miR-86,bma-miR-86,cbn-miR-86,cbr-miR-86,cel-miR-86,crm-miR-86,hco-miR-86,prd-miR-86,str-miR-86 TAAGTGAATGCTTTGCCACA 0 0 0 0 0 0 0 0 3 0
insects 14 aae-miR-14,aga-miR-14,ame-miR-14,api-miR-14,bmo-miR-14,cqu-miR-14,dan-miR-14,der-miR-14,dgr-miR-14,dme-miR-14,dmo-miR-14,dpe-miR-14,dps-miR-14,dse-miR-14,dsi-miR-14,dvi-miR-14,dwi-miR-14,dya-miR-14,hme-miR-14,mse-miR-14,ngi-miR-14,nvi-miR-14,tca-miR-14 TCAGTCTTTTTCTCTCTCCT 0 0 2 0 0 0 0 0 2 0
insects 957 aae-miR-957,aga-miR-957,cqu-miR-957,dme-miR-957,dps-miR-957,dsi-miR-957,dvi-miR-957 TGAAACCGTCCAAAACTGAG 0 0 0 0 0 0 1 0 0 0
lophotrochozoa 1996 cte-miR-1996a CTCAAGTGAGGTCAGTGCTG 0 0 0 0 0 0 1 0 0 0
lophotrochozoa 2689 cte-miR-2689 TATCCTGGCCTGCAAGTGCA 2 0 0 0 0 0 0 0 0 0
lophotrochozoa 1994 cla-miR-1994,cte-miR-1994,lgi-miR-1994a,lgi-miR-1994b TGAGACAGTGTGTCCTCCCT 0 0 0 0 0 0 0 0 1 0
lophotrochozoa 1998 cte-miR-1998 TTGAACGCAGAGATGTACAT 1 0 0 0 0 0 0 0 0 0
primates 3122 hsa-miR-3122 GTTGGGACAAGAGGACGGTC 0 0 0 0 0 0 1 0 0 0

5 Citations

---
title: "09-Pmea-sRNAseq-miRTrace"
author: "Sam White (modified by K Durkin for P. meandrina analysis)"
date: "2023-11-14"
always_allow_html: true
output: 
  bookdown::html_document2:
    theme: cosmo
    toc: true
    toc_float: true
    number_sections: true
    code_folding: show
    code_download: true
  github_document:
    toc: true
    toc_depth: 3
    number_sections: true
    html_preview: true  
#bibliography: references.bib
---

```{r setup, include=FALSE}
library(knitr)
library(kableExtra)
library(dplyr)
knitr::opts_chunk$set(
  echo = TRUE,         # Display code chunks
  eval = FALSE,        # Evaluate code chunks
  warning = FALSE,     # Hide warnings
  message = FALSE,     # Hide messages
  comment = ""          # Prevents appending '##' to beginning of lines in code output
)

```

Use [miRTrace](https://github.com/friedlanderlab/mirtrace) [@kang2018] to identify taxonomic origins of miRNA sequencing data.

NOTE: This requires you to have previously run [`08-Pmea-sRNAseq-trimming.Rmd`](https://github.com/urol-e5/deep-dive/blob/main/F-Pmea/code/08-Pmea-sRNAseq-trimming.Rmd), as the code relies on the trimmed reads output from that code.

---


Inputs:

- Trimmed sRNAseq FastQs generated by [`08-Pmea-sRNAseq-trimming.Rmd`](https://github.com/urol-e5/deep-dive/blob/main/F-Pmea/code/08-Pmea-sRNAseq-trimming.Rmd)

  - Filenames formatted: `*flexbar_trim.25bp*.gz`
  
Outputs:

- `mirtrace.config`: A [miRTrace](https://github.com/friedlanderlab/mirtrace) config file. A comma-separated file with this layout (one FastQ per line): `/path/to/fastq,custom_sample_name`

- "Collapsed" (i.e. unique sequences only) FastA for each corresponding input FastQ.

- `mirtrace-report.html`: HTML-formatted report generated by [miRTrace](https://github.com/friedlanderlab/mirtrace).

- `mirtrace-stats-contamination_basic.tsv`: Tab-delimited report with counts of sequences from each collapsed FastAs having matches to known miRNAs within each of the [miRTrace](https://github.com/friedlanderlab/mirtrace) Clades.

- `mirtrace-stats-contamination_detailed.csv`: Tab-delimited report of _only_ Clades with which sequences were matched, along with the corresponding miRNA families in each clade, and the sequence counts.


# Create a Bash variables file

This allows usage of Bash variables across R Markdown chunks.

```{r save-bash-variables-to-rvars-file, engine='bash', eval=TRUE}
{
echo "#### Assign Variables ####"
echo ""

echo "# Data directories"
echo 'export deep_dive_dir=/home/shared/8TB_HDD_02/shedurkin/deep-dive'
echo 'export output_dir_top=${deep_dive_dir}/F-Pmea/output/09-Pmea-sRNAseq-miRTrace'
echo 'export trimmed_reads_dir=${deep_dive_dir}/F-Pmea/output/08-Pmea-sRNAseq-trimming/trimmed-reads'
echo ""

echo "# Paths to programs"
echo 'export mirtrace=/home/sam/programs/mambaforge/envs/miRTrace_env/bin/mirtrace'
echo ""

echo "# Set number of CPUs to use"
echo 'export threads=40'
echo ""

echo "export fastq_pattern='*flexbar_trim.25bp*.gz'"

echo "# Programs associative array"
echo "declare -A programs_array"
echo "programs_array=("
echo '[mirtrace]="${mirtrace}"'
echo ")"
} > .bashvars

cat .bashvars
```

# Create [miRTrace](https://github.com/friedlanderlab/mirtrace) config file
```{r create-config-file, engine='bash', eval=TRUE}
# Load bash variables into memory
source .bashvars

# Declare array
fastq_array=()

# Populate array
fastq_array=(${trimmed_reads_dir}/${fastq_pattern})

# Loop through read pairs
# Increment by 2 to process next pair of FastQ files
if [ -f "${output_dir_top}/mirtrace.config" ]; then
  echo "mirtrace.config already exists. Nothing to do."
  
else

  for (( i=0; i<${#fastq_array[@]} ; i+=2 ))
  do
    # Use first three parts of filename to create short sample name
    R1_name=$(echo "${fastq_array[i]##*/}" | awk -F "-" '{print $1"-"$2"-"$3}')
    R2_name=$(echo "${fastq_array[i+1]##*/}" | awk -F "-" '{print $1"-"$2"-"$3}')
    echo "${fastq_array[i]},${R1_name}_1"
    echo "${fastq_array[i+1]},${R2_name}_2"
  done >> "${output_dir_top}/mirtrace.config"

fi

cat "${output_dir_top}/mirtrace.config"
```

# Run [miRTrace](https://github.com/friedlanderlab/mirtrace)
```{r run-mirtrace, engine='bash', eval=TRUE}
# Load bash variables into memory
source .bashvars

time \
${programs_array[mirtrace]} trace \
--config ${output_dir_top}/mirtrace.config \
--write-fasta \
--num-threads ${threads} \
--output-dir ${output_dir_top} \
--force

tree -h ${output_dir_top}
```


# Results

## Read in table as data frame
```{r read-table, eval=TRUE}
mirtrace.detailed.df <- read.csv("../output/09-Pmea-sRNAseq-miRTrace/mirtrace-stats-contamination_detailed.tsv", sep = "\t", header = TRUE)

str(mirtrace.detailed.df)
```


## Number of samples with matches
```{r counts-samples-with-matches, eval=TRUE}
# Select columns corresponding to sample names
sample_columns <- mirtrace.detailed.df %>%
  select(starts_with("sRNA.POC."))

# Calculate the sum for each column
sample_sums <- colSums(sample_columns)

# Count the number of columns with a sum greater than 0
samples_with_sum_gt_0 <- sum(sample_sums > 0)

paste("Number of samples with matches: ", samples_with_sum_gt_0)
```
## Percentage of samples with matches
```{r percentage-samples-with-matches, eval=TRUE}
# Total number of samples (columns)
total_samples <- ncol(sample_columns)

# Percentage of samples with sums greater than 0
percentage_samples_gt_0 <- (samples_with_sum_gt_0 / total_samples) * 100

paste("Percentage of samples with matches: ", percentage_samples_gt_0)
```


## Number of clades with matches
```{r distinct-clades, eval=TRUE, class.source = 'fold-hide'}

unique_clade_count <- mirtrace.detailed.df %>%
  distinct(CLADE) %>%    # Get unique entries in CLADE column
  count()               # Count the number of unique entries



paste("Number of clades with matches:", unique_clade_count)


```


## [miRTrace](https://github.com/friedlanderlab/mirtrace) table

To make them easier to see, counts > 0 are highlighted in green.
```{r mirtrace-output-table, eval=TRUE, class.source = 'fold-hide'}

mirtrace.detailed.df %>%
  mutate(
    across(
      starts_with("sRNA"),
      ~cell_spec(
        .,
        background = ifelse(
          . > 0,
          "lightgreen",
          "white"
          )
        )
      )
    ) %>%
  kable(escape = F, caption = "Clades identified as having sRNAseq matches.") %>%
  kable_styling("striped") %>% 
  scroll_box(width = "100%", height = "500px")
```

# Citations


