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Rapid identification of causative insertions underlying Medicago truncatula Tnt1 mutants defective in symbiotic nitrogen fixation from a forward genetic screen by whole genome sequencing

Overview of attention for article published in BMC Genomics, February 2016
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Title
Rapid identification of causative insertions underlying Medicago truncatula Tnt1 mutants defective in symbiotic nitrogen fixation from a forward genetic screen by whole genome sequencing
Published in
BMC Genomics, February 2016
DOI 10.1186/s12864-016-2452-5
Pubmed ID
Authors

Vijaykumar Veerappan, Mehul Jani, Khem Kadel, Taylor Troiani, Ronny Gale, Tyler Mayes, Elena Shulaev, Jiangqi Wen, Kirankumar S. Mysore, Rajeev K. Azad, Rebecca Dickstein

Abstract

In the model legume Medicago truncatula, the near saturation genome-wide Tnt1 insertion mutant population in ecotype R108 is a valuable tool in functional genomics studies. Forward genetic screens have identified many Tnt1 mutants defective in nodule development and symbiotic nitrogen fixation (SNF). However, progress toward identifying the causative mutations of these symbiotic mutants has been slow because of the high copy number of Tnt1 insertions in some mutant plants and inefficient recovery of flanking sequence tags (FSTs) by thermal asymmetric interlaced PCR (TAIL-PCR) and other techniques. Two Tnt1 symbiotic mutants, NF11217 and NF10547, with defects in nodulation and SNF were isolated during a forward genetic screen. Both TAIL-PCR and whole genome sequencing (WGS) approaches were used in attempts to find the relevant mutant genes in NF11217 and NF10547. Illumina paired-end WGS generated ~16 Gb of sequence data from a 500 bp insert library for each mutant, yielding ~40X genome coverage. Bioinformatics analysis of the sequence data identified 97 and 65 high confidence independent Tnt1 insertion loci in NF11217 and NF10547, respectively. In comparison to TAIL-PCR, WGS recovered more Tnt1 insertions. From the WGS data, we found Tnt1 insertions in the exons of the previously described PHOSPHOLIPASE C (PLC)-like and NODULE INCEPTION (NIN) genes in NF11217 and NF10547 mutants, respectively. Co-segregation analyses confirmed that the symbiotic phenotypes of NF11217 and NF10547 are tightly linked to the Tnt1 insertions in PLC-like and NIN genes, respectively. In this work, we demonstrate that WGS is an efficient approach for identification of causative genes underlying SNF defective phenotypes in M. truncatula Tnt1 insertion mutants obtained via forward genetic screens.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 19%
Researcher 6 14%
Student > Master 5 12%
Student > Doctoral Student 4 10%
Student > Bachelor 4 10%
Other 6 14%
Unknown 9 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 38%
Biochemistry, Genetics and Molecular Biology 11 26%
Computer Science 3 7%
Engineering 2 5%
Unknown 10 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 March 2016.
All research outputs
#13,512,673
of 23,314,015 outputs
Outputs from BMC Genomics
#4,839
of 10,742 outputs
Outputs of similar age
#140,285
of 298,711 outputs
Outputs of similar age from BMC Genomics
#108
of 222 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,742 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 298,711 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 222 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.