Extract mature miRNAs identified with matches to miRBase by ShortStack in 08.2-Peve-sRNAseq-ShortStack-31bp-fastp-merged.Rmd to FastA.


1 Create a Bash variables file

This allows usage of Bash variables across R Markdown chunks.

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

echo "# Trimmed FastQ naming pattern"

echo "# Data directories"
echo 'export deep_dive_dir=/home/shared/8TB_HDD_01/sam/gitrepos/deep-dive'
echo 'export shortstack_dir="${deep_dive_dir}/E-Peve/output/08.2-Peve-sRNAseq-ShortStack-31bp-fastp-merged/ShortStack_out"'
echo 'export output_dir_top=${deep_dive_dir}/E-Peve/output/08.2.1-Peve-sRNAseq-ShortStack-FastA-extraction'
echo ""

echo "# Input/Output files"
echo 'export output_fasta="mature-miRBase-matches.fasta"'
echo 'export shortstack_fasta="mir.fasta"'
echo 'export shortstack_fasta_index="mir.fasta.fai"'
echo 'export shortstack_fixed_fasta="mir-coords-fixed.fasta"'
echo 'export shortstack_fixed_fasta_index="mir-coords-fixed.fasta.fai"'

echo 'export shortstack_results_file="Results.txt"'
echo 'export regions="mature-miRBase-regions.txt"'

echo ""

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

echo "# Programs"
echo 'export samtools=/home/shared/samtools-1.12/samtools'


} > .bashvars

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

# Trimmed FastQ naming pattern
# Data directories
export deep_dive_dir=/home/shared/8TB_HDD_01/sam/gitrepos/deep-dive
export shortstack_dir="${deep_dive_dir}/E-Peve/output/08.2-Peve-sRNAseq-ShortStack-31bp-fastp-merged/ShortStack_out"
export output_dir_top=${deep_dive_dir}/E-Peve/output/08.2.1-Peve-sRNAseq-ShortStack-FastA-extraction

# Input/Output files
export output_fasta="mature-miRBase-matches.fasta"
export shortstack_fasta="mir.fasta"
export shortstack_fasta_index="mir.fasta.fai"
export shortstack_fixed_fasta="mir-coords-fixed.fasta"
export shortstack_fixed_fasta_index="mir-coords-fixed.fasta.fai"
export shortstack_results_file="Results.txt"
export regions="mature-miRBase-regions.txt"

# Set number of CPUs to use
export threads=40

# Programs
export samtools=/home/shared/samtools-1.12/samtools

2 Examine Results.txt

2.2 Columns of interest

Column 1: Region of miRNA match

Column 20: ShortStack miRNA? Y/N

Column 21: Match to miRBase? NA or miRBase match

# Load bash variables into memory
source .bashvars

awk '{print $1"\t"$20"\t"$21}' "${shortstack_dir}/${shortstack_results_file}" | head | column -t
Locus                                      MIRNA  known_miRNAs
Porites_evermani_scaffold_1:45711-46131    N      NA
Porites_evermani_scaffold_1:201507-201931  N      NA
Porites_evermani_scaffold_1:313446-313846  N      NA
Porites_evermani_scaffold_1:406146-406734  N      NA
Porites_evermani_scaffold_1:409839-410269  N      NA
Porites_evermani_scaffold_1:465244-465668  N      NA
Porites_evermani_scaffold_1:468473-468950  N      NA
Porites_evermani_scaffold_1:476827-477250  N      NA
Porites_evermani_scaffold_1:486441-486868  N      NA

2.3 miRNAs of interest

# Load bash variables into memory
source .bashvars

awk '$20 == "Y" && $21 != "NA" {print $1"\t"$20"\t"$21}' "${shortstack_dir}/${shortstack_results_file}" | head | column -t

echo ""
echo "------------------------------------------"
echo ""
echo "Number of miRNAs matching miRBase:"

awk '$20 == "Y" && $21 != "NA" {print $1"\t"$20"\t"$21}' "${shortstack_dir}/${shortstack_results_file}" | wc -l 
Porites_evermani_scaffold_49:151587-151681   Y  ami-nve-F-miR-100-5p_Acropora_millepora_Praher_et_al._2021_NA;Adi-Mir-100_5p_Acropora_digitifera_Gajigan_&_Conaco_2017_mir-100;_spi-miR-temp-1;adi-nve-F-miR-100_Acropora_digitifera__Praher_et_al._2021_NA
Porites_evermani_scaffold_430:205865-205960  Y  spi-mir-temp-30_Stylophora_pistillata_Liew_et_al._2014_Close_match_of_nve-miR-2036.;spi-nve-F-miR-2036_Stylophora_pistillata_Praher_et_al._2021_NA;ami-nve-F-miR-2036-3p_Acropora_millepora_Praher_et_al._2021_NA;Adi-Mir-2036_3p_Acropora_digitifera_Gajigan_&_Conaco_2017_nve-miR-2036-3p;_nve-miR-2036-3p;_spi-miR-temp-30;eca-nve-F-miR-2036_Edwardsiella_carnea_Praher_et_al._2021_Transcriptome-level
Porites_evermani_scaffold_502:58948-59038    Y  ami-nve-F-miR-2030-5p_Acropora_millepora_Praher_et_al._2021_NA;Adi-Mir-2030_5p_Acropora_digitifera_Gajigan_&_Conaco_2017_nve-miR-2030-5p;_nve-miR-2030-5p;_spi-miR-temp-40;adi-nve-F-miR-2030_Acropora_digitifera__Praher_et_al._2021_NA;spi-mir-temp-40_Stylophora_pistillata_Liew_et_al._2014_Close_match_of_nve-miR-2030;eca-nve-F-miR-2030_Edwardsiella_carnea_Praher_et_al._2021_Transcriptome-level;miR-2030_Nematostella_vectensis_Moran_et_al._2014_NA
Porites_evermani_scaffold_594:158176-158270  Y  nve-miR-2023-3p;spi-mir-temp-4_Stylophora_pistillata_Liew_et_al._2014_Exact_match_of_nve-miR-2023.;apa-mir-2023_Exaiptasia_pallida_Baumgarten_et_al._2017_miR-2023;_Nve;_Spis;_Adi;mse-nve-F-miR-2023_Metridium_senile_Praher_et_al._2021_Transcriptome-level;sca-nve-miR-2023-3p_Scolanthus_callimorphus_Praher_et_al._2021_Transcriptome-level;eca-nve-F-miR-2023_Edwardsiella_carnea_Praher_et_al._2021_Transcriptome-level;ami-nve-F-miR-2023-3p_Acropora_millepora_Praher_et_al._2021_NA;Adi-Mir-2023_3p_Acropora_digitifera_Gajigan_&_Conaco_2017_nve-miR-2023-3p;_nve-miR-2023-3p;_spi-miR-temp-4;epa-nve-F-miR-2023_Exaiptasia_pallida_Praher_et_al._2021_NA;miR-2023_Nematostella_vectensis_Moran_et_al._2014_NA;spi-nve-F-miR-2023_Stylophora_pistillata_Praher_et_al._2021_NA;avi-miR-temp-2023_Anemonia_viridis_Urbarova_et_al._2018_NA
Porites_evermani_scaffold_910:99233-99322    Y  adi-miR-P-novel-6-3p_Acropora_digitifera__Praher_et_al._2021_NA
Porites_evermani_scaffold_910:118720-118809  Y  adi-miR-P-novel-6-3p_Acropora_digitifera__Praher_et_al._2021_NA;spi-mir-temp-14_Stylophora_pistillata_Liew_et_al._2014_NA;ami-spi-miR-L-temp-14-5p_Acropora_millepora_Praher_et_al._2021_NA
Porites_evermani_scaffold_910:139331-139420  Y  ami-spi-miR-L-temp-14-5p_Acropora_millepora_Praher_et_al._2021_NA
Porites_evermani_scaffold_1503:47558-47651   Y  spi-mir-temp-15_Stylophora_pistillata_Liew_et_al._2014_NA;spi-miR-L-temp-15_Stylophora_pistillata_Praher_et_al._2021_NA
Porites_evermani_scaffold_3072:29428-29521   Y  ami-nve-F-miR-2025-3p_Acropora_millepora_Praher_et_al._2021_NA;Adi-Mir-2025_3p_Acropora_digitifera_Gajigan_&_Conaco_2017_nve-miR-2025-3p;_nve-miR-2025-3p;adi-nve-F-miR-2025_Acropora_digitifera__Praher_et_al._2021_NA

------------------------------------------

Number of miRNAs matching miRBase:
9

3 Examine ShortStack miRNA FastA

3.1 Head FastA

# Load bash variables into memory
source .bashvars

grep "^>" "${shortstack_dir}/${shortstack_fasta}" | head
>Cluster_29::Porites_evermani_scaffold_1:1404249-1404342(-)
>Cluster_29.mature::Porites_evermani_scaffold_1:1404271-1404293(-)
>Cluster_29.star::Porites_evermani_scaffold_1:1404300-1404322(-)
>Cluster_578::Porites_evermani_scaffold_16:383385-383478(-)
>Cluster_578.mature::Porites_evermani_scaffold_16:383436-383458(-)
>Cluster_578.star::Porites_evermani_scaffold_16:383405-383427(-)
>Cluster_786::Porites_evermani_scaffold_26:382549-382645(-)
>Cluster_786.mature::Porites_evermani_scaffold_26:382571-382593(-)
>Cluster_786.star::Porites_evermani_scaffold_26:382602-382625(-)
>Cluster_1125::Porites_evermani_scaffold_47:475971-476066(-)

4 Fix FastA description starting coordinates

Needed, due to bug in code (GitHub Issue) which incorrectly calculates the starting coordinates in the FastA output. All other files where start/stop coordinates are conveyed are correct.

The incorrect starting coordinates cause an issue in downstream manipulation, because the FastA headers need to match the ShortStack results file.

# Load bash variables into memory
source .bashvars

awk '
/^>/ {
    # Split the line into main parts based on "::" delimiter
    split($0, main_parts, "::")
    
    # Extract the coordinate part and strand information separately
    coordinates_strand = main_parts[2]
    split(coordinates_strand, coord_parts, "[:-]")
    
    # Determine if the strand information is present and extract it
    strand = ""
    if (substr(coordinates_strand, length(coordinates_strand)) ~ /[\(\)\-\+]/) {
        strand = substr(coordinates_strand, length(coordinates_strand) - 1)
        coordinates_strand = substr(coordinates_strand, 1, length(coordinates_strand) - 2)
        split(coordinates_strand, coord_parts, "[:-]")
    }
    
    # Increment the starting coordinate by 1
    new_start = coord_parts[2] + 1
    
    # Reconstruct the description line with the new starting coordinate
    new_description = main_parts[1] "::" coord_parts[1] ":" new_start "-" coord_parts[3] strand
    
    # Print the modified description line
    print new_description
    
    # Skip to the next line to process the sequence line
    next
}

# For sequence lines, print them as-is
{
    print
}
' "${shortstack_dir}/${shortstack_fasta}" \
> "${shortstack_dir}/${shortstack_fixed_fasta}"

diff "${shortstack_dir}/${shortstack_fasta}" \
"${shortstack_dir}/${shortstack_fixed_fasta}" \
| head
1c1
< >Cluster_29::Porites_evermani_scaffold_1:1404249-1404342(-)
---
> >Cluster_29::Porites_evermani_scaffold_1:1404250-1404342(-)
3c3
< >Cluster_29.mature::Porites_evermani_scaffold_1:1404271-1404293(-)
---
> >Cluster_29.mature::Porites_evermani_scaffold_1:1404272-1404293(-)
5c5
< >Cluster_29.star::Porites_evermani_scaffold_1:1404300-1404322(-)

5 Create regions file for use with samtools

5.1 Make FastA index

# Load bash variables into memory
source .bashvars

${samtools} faidx "${shortstack_dir}/${shortstack_fixed_fasta}"


head "${shortstack_dir}/${shortstack_fixed_fasta_index}"
Cluster_29::Porites_evermani_scaffold_1:1404250-1404342(-)  93  60  93  94
Cluster_29.mature::Porites_evermani_scaffold_1:1404272-1404293(-)   22  221 22  23
Cluster_29.star::Porites_evermani_scaffold_1:1404301-1404322(-) 22  309 22  23
Cluster_578::Porites_evermani_scaffold_16:383386-383478(-)  93  392 93  94
Cluster_578.mature::Porites_evermani_scaffold_16:383437-383458(-)   22  553 22  23
Cluster_578.star::Porites_evermani_scaffold_16:383406-383427(-) 22  641 22  23
Cluster_786::Porites_evermani_scaffold_26:382550-382645(-)  96  724 96  97
Cluster_786.mature::Porites_evermani_scaffold_26:382572-382593(-)   22  888 22  23
Cluster_786.star::Porites_evermani_scaffold_26:382603-382625(-) 23  976 23  24
Cluster_1125::Porites_evermani_scaffold_47:475972-476066(-) 95  1061    95  96

5.2 Construct regions of miRBase matches for FastA index

# Load bash variables into memory
source .bashvars

# Make output directory, if it doesn't exist
mkdir --parents "${output_dir_top}"

{
   awk '$20 == "Y" && $21 != "NA" {print $2}' "${shortstack_dir}/${shortstack_results_file}" \
   | grep --fixed-strings --file - "${shortstack_dir}/${shortstack_fixed_fasta_index}" \
   | awk '{print $1}'
} \
> "${output_dir_top}/${regions}"

head "${output_dir_top}/${regions}"
Cluster_1153::Porites_evermani_scaffold_49:151587-151681(-)
Cluster_1153.mature::Porites_evermani_scaffold_49:151640-151661(-)
Cluster_1153.star::Porites_evermani_scaffold_49:151607-151628(-)
Cluster_5540::Porites_evermani_scaffold_430:205865-205960(-)
Cluster_5540.mature::Porites_evermani_scaffold_430:205887-205909(-)
Cluster_5540.star::Porites_evermani_scaffold_430:205917-205940(-)
Cluster_6211::Porites_evermani_scaffold_502:58948-59038(-)
Cluster_6211.mature::Porites_evermani_scaffold_502:58997-59018(-)
Cluster_6211.star::Porites_evermani_scaffold_502:58968-58989(-)
Cluster_6875::Porites_evermani_scaffold_594:158176-158270(+)

6 Extract FastAs

# Load bash variables into memory
source .bashvars

${samtools} faidx "${shortstack_dir}/${shortstack_fixed_fasta}" \
--region-file "${output_dir_top}/${regions}" \
> "${output_dir_top}/${output_fasta}"

head "${output_dir_top}/${output_fasta}"

echo ""
echo ""
echo ""
echo "Number of FastA sequences:"
grep "^>" --count "${output_dir_top}/${output_fasta}"
>Cluster_1153::Porites_evermani_scaffold_49:151587-151681(-)
AATTCTAGCAGCTCATGCGATCCCGTAGATCCGAACTTGTGGGTATTTTCTCCACAGGTT
GGGCTCTACGGTCATATTTGCTGTAATATAACATG
>Cluster_1153.mature::Porites_evermani_scaffold_49:151640-151661(-)
TCCCGTAGATCCGAACTTGTGG
>Cluster_1153.star::Porites_evermani_scaffold_49:151607-151628(-)
ACAGGTTGGGCTCTACGGTCAT
>Cluster_5540::Porites_evermani_scaffold_430:205865-205960(-)
TGAAGTGTTGTTTCTAGAGGCGGTGAAAGTCGTCTCAATACACAGTTGATGTATATTGTA
CGACTCTCATCGTGTTTGTGACAATCTCTTATTTCA



Number of FastA sequences:
27
---
title: "08.2.1-Peve-sRNAseq-ShortStack-FastA-extraction"
author: "Sam White"
date: "2024-05-22"
output: 
  bookdown::html_document2:
    theme: cosmo
    toc: true
    toc_float: true
    number_sections: true
    code_folding: show
    code_download: true
  github_document:
    toc: true
    number_sections: true
  html_document:
    theme: cosmo
    toc: true
    toc_float: true
    number_sections: true
    code_folding: show
    code_download: true
bibliography: references.bib
link-citations: true
---

```{r setup, include=FALSE}
library(knitr)
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
)
```

Extract mature miRNAs identified with matches to miRBase by ShortStack in [08.2-Peve-sRNAseq-ShortStack-31bp-fastp-merged.Rmd](./08.2-Peve-sRNAseq-ShortStack-31bp-fastp-merged.Rmd) to FastA.


------------------------------------------------------------------------


# 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 "# Trimmed FastQ naming pattern"

echo "# Data directories"
echo 'export deep_dive_dir=/home/shared/8TB_HDD_01/sam/gitrepos/deep-dive'
echo 'export shortstack_dir="${deep_dive_dir}/E-Peve/output/08.2-Peve-sRNAseq-ShortStack-31bp-fastp-merged/ShortStack_out"'
echo 'export output_dir_top=${deep_dive_dir}/E-Peve/output/08.2.1-Peve-sRNAseq-ShortStack-FastA-extraction'
echo ""

echo "# Input/Output files"
echo 'export output_fasta="mature-miRBase-matches.fasta"'
echo 'export shortstack_fasta="mir.fasta"'
echo 'export shortstack_fasta_index="mir.fasta.fai"'
echo 'export shortstack_fixed_fasta="mir-coords-fixed.fasta"'
echo 'export shortstack_fixed_fasta_index="mir-coords-fixed.fasta.fai"'

echo 'export shortstack_results_file="Results.txt"'
echo 'export regions="mature-miRBase-regions.txt"'

echo ""

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

echo "# Programs"
echo 'export samtools=/home/shared/samtools-1.12/samtools'


} > .bashvars

cat .bashvars
```

# Examine `Results.txt`

## Head
```{r head-results.txt, engine='bash', eval=TRUE}
# Load bash variables into memory
source .bashvars

head "${shortstack_dir}/${shortstack_results_file}" | column -t
```

## Columns of interest

Column 1: Region of miRNA match

Column 20: ShortStack miRNA? Y/N

Column 21: Match to miRBase? NA or miRBase match

```{r cols-of-interest, engine='bash', eval=TRUE}
# Load bash variables into memory
source .bashvars

awk '{print $1"\t"$20"\t"$21}' "${shortstack_dir}/${shortstack_results_file}" | head | column -t
```

## miRNAs of interest
```{r miRNAs-of-interest, engine='bash', eval=TRUE}
# Load bash variables into memory
source .bashvars

awk '$20 == "Y" && $21 != "NA" {print $1"\t"$20"\t"$21}' "${shortstack_dir}/${shortstack_results_file}" | head | column -t

echo ""
echo "------------------------------------------"
echo ""
echo "Number of miRNAs matching miRBase:"

awk '$20 == "Y" && $21 != "NA" {print $1"\t"$20"\t"$21}' "${shortstack_dir}/${shortstack_results_file}" | wc -l 
```

# Examine ShortStack miRNA FastA

## Head FastA

```{r head-FastA, engine='bash', eval=TRUE}
# Load bash variables into memory
source .bashvars

grep "^>" "${shortstack_dir}/${shortstack_fasta}" | head
```

# Fix FastA description starting coordinates

Needed, due to [bug in code](https://github.com/MikeAxtell/ShortStack/issues/153#issuecomment-2122897486) (GitHub Issue) which incorrectly calculates the starting coordinates in the FastA output. All other files where start/stop coordinates are conveyed are correct.

The incorrect starting coordinates cause an issue in downstream manipulation, because the FastA headers need to match the ShortStack results file.

```{r fix-FastA-coordinates, engine='bash', eval=TRUE}
# Load bash variables into memory
source .bashvars

awk '
/^>/ {
    # Split the line into main parts based on "::" delimiter
    split($0, main_parts, "::")
    
    # Extract the coordinate part and strand information separately
    coordinates_strand = main_parts[2]
    split(coordinates_strand, coord_parts, "[:-]")
    
    # Determine if the strand information is present and extract it
    strand = ""
    if (substr(coordinates_strand, length(coordinates_strand)) ~ /[\(\)\-\+]/) {
        strand = substr(coordinates_strand, length(coordinates_strand) - 1)
        coordinates_strand = substr(coordinates_strand, 1, length(coordinates_strand) - 2)
        split(coordinates_strand, coord_parts, "[:-]")
    }
    
    # Increment the starting coordinate by 1
    new_start = coord_parts[2] + 1
    
    # Reconstruct the description line with the new starting coordinate
    new_description = main_parts[1] "::" coord_parts[1] ":" new_start "-" coord_parts[3] strand
    
    # Print the modified description line
    print new_description
    
    # Skip to the next line to process the sequence line
    next
}

# For sequence lines, print them as-is
{
    print
}
' "${shortstack_dir}/${shortstack_fasta}" \
> "${shortstack_dir}/${shortstack_fixed_fasta}"

diff "${shortstack_dir}/${shortstack_fasta}" \
"${shortstack_dir}/${shortstack_fixed_fasta}" \
| head


```

# Create regions file for use with `samtools`

## Make FastA index

```{r FastA-index, engine='bash', eval=TRUE}
# Load bash variables into memory
source .bashvars

${samtools} faidx "${shortstack_dir}/${shortstack_fixed_fasta}"


head "${shortstack_dir}/${shortstack_fixed_fasta_index}"
```

## Construct regions of miRBase matches for FastA index


```{r contrsuct-regions-file, engine='bash', eval=TRUE}
# Load bash variables into memory
source .bashvars

# Make output directory, if it doesn't exist
mkdir --parents "${output_dir_top}"

{
   awk '$20 == "Y" && $21 != "NA" {print $2}' "${shortstack_dir}/${shortstack_results_file}" \
   | grep --fixed-strings --file - "${shortstack_dir}/${shortstack_fixed_fasta_index}" \
   | awk '{print $1}'
} \
> "${output_dir_top}/${regions}"

head "${output_dir_top}/${regions}"

```



# Extract FastAs

```{r extract-FastAs, engine='bash', eval=TRUE}
# Load bash variables into memory
source .bashvars

${samtools} faidx "${shortstack_dir}/${shortstack_fixed_fasta}" \
--region-file "${output_dir_top}/${regions}" \
> "${output_dir_top}/${output_fasta}"

head "${output_dir_top}/${output_fasta}"

echo ""
echo ""
echo ""
echo "Number of FastA sequences:"
grep "^>" --count "${output_dir_top}/${output_fasta}"

```