| Literature DB >> 34600471 |
Henrik R Hallingbäck1,2, Pascal Pucholt1, Ann Christin Rönnberg-Wästljung3, Sofia Berlin1, Pär K Ingvarsson1.
Abstract
BACKGROUND: Sex chromosomes are in some species largely undifferentiated (homomorphic) with restricted sex determination regions. Homomorphic but different sex chromosomes are found in the closely related genera Populus and Salix indicating flexible sex determination systems, ideal for studies of processes involved in sex chromosome evolution. We have performed genome-wide association studies of sex and analysed sex chromosomes in a population of 265 wild collected Salix viminalis accessions and studied the sex determining locus.Entities:
Keywords: Association mapping; Copy number variation; Female heterogamety; GWAS; Paralogous loci; Salix viminalis; Sex determination; Sex specific markers
Mesh:
Substances:
Year: 2021 PMID: 34600471 PMCID: PMC8487499 DOI: 10.1186/s12864-021-08021-2
Source DB: PubMed Journal: BMC Genomics ISSN: 1471-2164 Impact factor: 3.969
Fig. 1Manhattan plot showing log10 (p)-values of 19,592 marker-sex associations performed by serial Fisher-tests (a) and Mixed linear model (b). The 19,592 tested GBS-markers are depicted as mapped to the genome assembly of S. purpurea v5.1. For chromosome 15 the markers are plotted against 15W and 15Z separately, Sc: scaffolds. A significance threshold for an experimentwise error rate of 0.05 (Bonferroni correction) is shown as a black line
Characteristics and positions of Salix viminalis scaffolds that contain significantly sex-associated markers (Bonferroni-corrected p < 0.05, Fisher’s exact test)
| Scaffold length (bp) | Chr based on | Center position in | Chr in | Number of sex-associated markers | |
|---|---|---|---|---|---|
| 0702 | 768,110 | Chr15 | 69.0 | Chr15W | 10 |
| 0535 | 622,702 | Chr15 | 57.2 | Chr15W | 9 |
| 1391 | 539,124 | Chr15 | 70.4 | Chr15W | 5 |
| 1541 | 2553,872 | Chr15 | 68.0 | Chr15W | 4 |
| 1658 | 116,437 | NA | NA | NA | 3 |
| 0302 | 814,410 | Chr15 | 58.0 | Chr15W | 2 |
| 0724 | 541,616 | NA | NA | Chr15W | 2 |
| 1236 | 355,459 | Chr15 | 67.6 | Chr15W | 2 |
| 0779 | 3,309,791 | Chr05 | NA | Chr15W | 1 |
| 1114 | 392,477 | NA | NA | Chr15W | 1 |
| 1491 | 291,271 | NA | NA | Chr16 | 1 |
| 1649 | 120,404 | NA | NA | NA | 1 |
| 1730 | 2,005,520 | Chr14 | NA | Chr14 | 1 |
| 1839 | 54,690 | NA | NA | NA | 1 |
| 2018 | 1,314,944 | Chr11 | NA | Chr11 | 1 |
| 2040 | 3,822,569 | Chr02 | NA | Chr02 | 1 |
| 2041 | 1,625,512 | Chr17 | NA | Chr17 | 1 |
| 2173 | 26,877 | NA | NA | NA | 1 |
| 2218 | 1,126,343 | Chr14 | NA | Chr14 | 1 |
| 1112d | 7,166,859 | Chr09 | NA | Chr09 | 0 |
aAbbreviated names for scaffolds in the S. viminalis genome assembly are used in the table, e.g. ENA|CAADRP010000702|CAADRP010000702.1 will be called 0702 etc
bMajority of map markers. Linkage mapping markers described in [40]
cPosition of that chromosome/scaffold in the S. purpurea genome v5.1, majority. For each hit on chromosome 15W, there were always also slightly less significant hits found on chromosome 15Z
dScaffold 1112 is included here since it contains a highly similar secondary blast hit for the tag sequence of the highest ranking SA markers
Overview of S. viminalis scaffolds and genomic positions with high similarity to the tag sequence of the most significantly associated SA marker 1 (S1_198703286). All blast hits with an e-value < 0.05 are shown
| Percent identical | Match length | Number of mismatches | Target start | Target end | e-value | Bitscore | |
|---|---|---|---|---|---|---|---|
| 1114 (NA) | 100 | 53 | 0 | 185,301 | 185,249 | 7.00*10–20 | 96.9 |
| 0535 (Chr15) | 100 | 53 | 0 | 171,930 | 171,982 | 7.00*10–20 | 96.9 |
| 0535 (Chr15) | 100 | 52 | 0 | 78,761 | 78,710 | 2.00*10–19 | 95.1 |
| 0535 (Chr15) | 98.08 | 52 | 0 | 190,880 | 190,830 | 1.00*10–16 | 86.0 |
| 1112 (Chr09) | 96.23 | 53 | 2 | 3,895,886 | 3,895,938 | 3.00*10–17 | 87.8 |
Fig. 2Histogram distribution of a given group of S. viminalis accessions by allele-specific read coverage for two selected markers. Each bar signifies a read depth class 10 reads wide. The left column of subplots (a, c, e) shows the distribution of accessions categorized by called genotype across the read depth of a normally behaving marker whereas the right column (b, d) shows the distribution of sex-specific accessions across the read depth of sex associated marker 1)