If you click on the question mark beside the database option, a database overview will be available through a modal window. Should you like to request additional databases to be added to BLAST, feel free to contact us, or open an issue/feature request at our GitHub repository.
An option is available to adjust the algorithm if you are querying based on short sequences, and it can be found directly under the textarea where you enter the search query. Should you check this option (it is unchecked by default), the following changes to the algorithm will be made:
More information regarding this option is available here.
Some users would like to keep a list of sequence identifiers from the BLAST result. If so desired, copy the block of text from the BLAST output and use SeqPro to isolate sequence identifiers from the copied text.
If you have the accession numbers (i.e sequence identifiers) of the sequences you want, you can use SeqRet.
JBrowse is a fast, modern genome browser. Unlike conventional genome browser, JBrowse is solely accessible through a web interface. Users are not required to load data files into the browser—instead, files are remotely loaded from a server. If you want to add additional tracks to JBrowse, you can either upload it yourself (which will only be visible by you), or send in a request (which will make the database locally, or externally, available (depending on your affiliation with the group).
JBrowse can be accessed via any web browser such as Chrome and Mozilla on the following two address: http://10.14.65.61/lotus0.1/ or http://zombie.bioxray.au.dk/lotus0.1/. Do note that the site is only accessible internally (i.e. you have to be connected to the department's VPN if you are working remotely).
JBrowse consists of a set of tracks representing various forms of genomic location-based information. More information on individual track can be found by clicking on "Select tracks" and then by looking up information stored in the columns such as category, factor and name.
Gene structure such as exons, UTRs and CDSs are colored differently.
Users can click on the gene model and copy the region sequences.
Users can copy the co-ordinates of the region and use the sequence retrieval tool (SeqRet) to do so.
Users can click on the top-right option "share" and use the link shown.
You can not — however, you can capture screenshots off the genome browser, preferably in full screen mode.
Functions such as zooming, dragging and clicking are fairly easy and straightforward. More details can be found by clicking on "Help" button on the top-right of the screen.
LORE1 is de-repressed during tissue culture. However, new copies occur only in the following generations. The activity of LORE1 was pinpointed to the germline, with highest activity in the male gametophyte. So far no somatic insertions were observed (Fukai, Umehara et al. 2010).
You will receive the R3 generation seeds (3rd generation of tissue culture regenerated plants). Analysis of insertion sites was done by a high-throughput method in the R2 generation.
R3 is a segregating population. We observe Mendelian segregation of insertions - 1:2:1. In case of recessive mutations the phenotype, if any, should be visible for 25% of the individuals.
The genotyping primers for LORE1 lines are generated using Primer3 with a set of predefined parameters. The PCR product must span the 1000th position, and the PCR product size should ideally fall between the range of 500-700 base pairs. As follows are the settings we have used for primer design:
Predesigned primers are available for most insertions. We were able to identify at least 95% of the test insertions using abovementioned primers. If you are using predesigned primers, always use the forward and P2 primers for insertion detection. The ±1000bp flanking sequence is reverse complemented when the LORE1 insertion is in the reverse orientation.
The primers can be downloaded from our database when you submit a list of BLAST headers.
The PCR program used for LORE1 insertion line genotyping is known as "touchdown".
|5||72°C to 68°C
(-0.5°C per round)
To interpret your PCR result, do take note of the following:
The PCR product sizes indicated in the LORE1 download data refers to the expected sizes of amplified gene fragments by the forward + reverse primers ('PCR Product Size in Wild Type') or the forward + P2 primers ('PCR Product Size with Insertion').
Detailed instructions about genotyping by PCR can be found in our publication (Urbanski et al., 2011).
LORE1 has a low frequency of insertions. The R1 generation acquired 3 insertions (two in unknown genes) that do not cause any phenotype. This generation (line G329-3) is used now as a founder line for the whole mutagenized population. The R2 generation has on average 2.9 new LORE1 insertions per plant. The R3 generation comes with approximately 1.9 additional new insertions per plant. Those last insertions will be different among the siblings that are shipped to you.
One case is known when LORE1 was repressed and is not accumulating during the generative propagation (Madsen, Fukai et al. 2005). We did not examine the frequency of new insertion accumulation in the R4 generation.
Non-unique LORE1 insertions occur where multiple plant IDs have been mapped to the same insertional position in the genome. In other words, these plants share identical BLAST headers (in the format of
[Chromosome Number]_[Position]_[Orientation]. Usually this is a result of contamination during material collection or genotyping. However, by downloading your LORE1 search results, it is possible to identify the line with the true insertion.
The search results that you have downloaded can be opened in any common spreadsheet program (Table 2a). It contains more information than is displayed on the search results page itself, due to spatial limitations in the latter.
|PID||Batch||Chr||Position||Orientation||...||Col. Coord.||Row Coord.||Col. Coord. Details||Row Coord. Details|
You can see that these lines have LORE1 insertions in the same chromosome, position and orientation. Despite being identical, each plant ID has a unique row coordinate. With that in mind, we look at the hash(#)-separated values in the last two columns, Col Coord Details and Row Coord Details (Table 2b).
|Value Pair||Col Coord Details||Row Coord Details|
We can see that R_47 has the highest count among rows, and therefore we are most confident that the line found at C_12 R_47 has the highest chance of being the line with the true LORE1 insertion at the position chr1_4599382_F. This would be line 30000012 because it has the aforementioned column and row coordinate (Table 2a).
We have not observed any problem with the seed germination, unless a line with a mutation in a known housekeeping gene was examined. We conclude that, due to the low mutational background, the germination and fertility has not deteriorated in the lines.
There might be however, problems with fungal infection. Please examine the seeds carefully before germination and if possible do not germinate all of the seeds at once.
We have recently established a new facility for growing the LORE1 lines. For the following batches of LORE1 lines we are expecting an increase in seed quality and yield.
Yes. LORE1 is a retrotransposon (RNA transposon) that amplifies in genome by a copy-and-paste mechanism. All the insertions will be present in the future generations unless removed by back-crossing.
Yes. Although LORE1 is active in the gametophyte, far less insertions are generated in the female gametophyte. It is than possible to use Gifu as a male partner for crossing with your line to remove accumulated insertions, and have a low chance to generating new ones.
chr7on the insertion list?
chr0 corresponds to a pseudomolecule made out of contigs that were not assembled into chromosome 1 to 6 pseudomolecules of the Lotus genome release 2.5. This genome release is available on Kazusa institute servers. The sequence of the
chr0 as well as
.gff files with the gene models for those contigs can be downloaded from the Kazusa FTP server (check pseudomolecules).
chr7 is used for simplicity and describes Lotus chloroplast DNA in legacy versions. In newer versions (≥3.0), chloroplastic DNA are found in the
No, so far there is no MTA.
Yes. We are planning to sequence more lines and share the results when they are available.
The routine way is to use the Southern blotting. Sequence-specific amplification polymorphism (SSAP) is however, simpler and faster technique that will additionally allow cloning and sequencing different insertions.
If you find the LORE1 lines useful for your research, we ask that you cite the two LORE1 manscripts published back-to-back in the Plant Journal: Urbanski et al., 2011 and Fukai et al., 2011.
The default behavior of SeqPro is that it will attempt to detect the type of data you have entered automatically without user intervention, and process it accordingly. So far the accepted types are:
SeqPro is powered by a simple but powerful feature found in many programming languages known as regular expression (RegEx). Basically, the tool attempts to identify useful bits of data in your input such that they are kept, and discards bits of data that are irrelevant. In the example of a BLAST output, the extra spaces between columns are removed.
The Sequence Retrieval Tool (SeqRet) works by fetching bits of information (e.g. amino acid, nucleotide sequences) from a BLAST-formatted database based on a unique identifier you have provided. An example of an identifier in the LORE1 database would be the BLAST header in the format of
[chromosome number]_[coordinate]_[orientation], such as
SeqPro and SeqRet work hand-in-hand, and they are designed to provide a seamless workflow for users who are going through large amount of data. For example, when a user receives a BLAST output with multiple promising candidates, he can copy the BLAST output and extract the accession numbers from the output with SeqPro. After that is done, he may extract the nucleotide sequences of those accessions with the help of SeqRet.
The output generated by SeqPro can be easily pasted into a spreadsheet program, but it is only available in the BLAST output filtering.
It is noteworthy to mention that both SeqPro and SeqRet are able to process multiple lines of data, meaning no tedious copying and pasting between different applications.