Evidence map›Paper›PMID 36262664›Full record

ArticleFrontiers in plant science2022

Construction of a high-density genetic map and localization of grazing-tolerant QTLs in

Xinyue Zhou, Xiaojie Li, Xiaoming Zhang, Dabao Yin, Junjie Wang, Yan Zhao

Abstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xinyue ZhouKey Laboratory of Grassland Resources (IMAU), Key Laboratory of Forage Cultivation, Processing and High Efficient Utilization, College of Grassland, Resource and Environmental Science, Ministry of Education, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot, China.
Xiaojie LiKey Laboratory of Grassland Resources (IMAU), Key Laboratory of Forage Cultivation, Processing and High Efficient Utilization, College of Grassland, Resource and Environmental Science, Ministry of Education, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot, China.
Xiaoming ZhangKey Laboratory of Grassland Resources (IMAU), Key Laboratory of Forage Cultivation, Processing and High Efficient Utilization, College of Grassland, Resource and Environmental Science, Ministry of Education, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot, China.
Dabao YinKey Laboratory of Grassland Resources (IMAU), Key Laboratory of Forage Cultivation, Processing and High Efficient Utilization, College of Grassland, Resource and Environmental Science, Ministry of Education, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot, China.
Junjie WangKey Laboratory of Grassland Resources (IMAU), Key Laboratory of Forage Cultivation, Processing and High Efficient Utilization, College of Grassland, Resource and Environmental Science, Ministry of Education, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot, China.
Yan ZhaoKey Laboratory of Grassland Resources (IMAU), Key Laboratory of Forage Cultivation, Processing and High Efficient Utilization, College of Grassland, Resource and Environmental Science, Ministry of Education, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Using genomic DNA from 79 F1 plants resulted from a crossing between parents with strong and weak grazing tolerance in Methods: The phenotypic traits of 79 F1 families were observed and the QTLS of 6 traits were analyzed by interval mapping. Results: Sixty three QTLs were identified for seven traits with LOD values from 3 to 6 and the contribution rates from 15% to 30%. Among the 63 QTLs, 17 were for natural shoot height, 12 for rhizome Length, 10 for Shoot canopy diameter, 9 for Basal plant diameter, 6 for stem number, 5 for absolute shoot height, and 4 for rhizome width. These QTLs were concentrated on LG2, LG4, LG5, LG7, and LG8. LG6 had only 6 QTLs. According to the results of QTL mapping, comparison of reference genomes, and functional annotation, 10 candidate genes that may be related to grazing tolerance were screened. qRT-PCR analysis showed that two candidate genes (LOC11412291 and LOC11440209) may be the key genes related to grazing tolerance of Conclusion: The identified trait-associated QTLs and candidate genes in this study will provide a solid foundation for future molecular breeding for enhanced grazing-tolerance in

Indexed as

genetic linkage mappinggrazing tolerancehigh-densityMedicago falcata L.QTLs

Identifiers

PMID36262664
PMCPMC9574245

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.