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ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2025

Genetic dissection of foxtail millet bristles using combined QTL mapping and RNA-seq.

Chuanxing Wang, Shaohua Chai, Shiru Li, Delong Liu, Huibing Han, Yongjiang Wu, Yujie Li, Zhixiu Ma, Liyuan Zhang, Xiaoli Gao and 1 more

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. QTL mapping and candidate genes prediction for plant height and brix content in sorghum [Sorghum bicolor (L.) Moench].TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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5 · Who and what money

Authors and funding

11 authors.

Chuanxing WangCollege of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China.
Shaohua ChaiCollege of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China.
Shiru LiCollege of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China.
Delong LiuCollege of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China.
Huibing HanCollege of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China.
Yongjiang WuCollege of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China.
Yujie LiCollege of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China.
Zhixiu MaCollege of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China.
Liyuan ZhangChifeng Institute of Agriculture and Animal Husbandry Science, Chifeng, 024000, China.
Xiaoli GaoCollege of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China.
Pu YangCollege of Agriculture, State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, 712100, China. yangpu@nwsuaf.edu.cn.ORCID http://orcid.org/0000-0003-0743-7291

Funding

Fundamental Research Funds for the Central Universities of Ministry of Education of China Z1090323176National Program on Key Basic Research Program of China 2023YFD1202700National Program on Key Basic Research Program of China 2023YFD1202704Shaanxi Province Key Research and Development Program 2023-ZDLNY-06
6 · The paper itself

Abstract

key messageQTL mapping of two RIL populations in multiple environments revealed a consistent QTL for bristle length, and combined with RNA-seq, a potential candidate gene influencing bristle length was identified. Foxtail millet bristles play a vital role in increasing yields and preventing bird damage. However, there is currently limited research on the molecular regulatory mechanisms underlying foxtail millet bristle formation, which constrains the genetic improvement and breeding of new foxtail millet varieties. This study leveraged genetic linkage maps from two populations: the published RYRIL population (Hongjiugu × Yugu 18) with 1420 bins and the newly established YYRIL population (Huangruangu × Yugu 18) with 542 bins. We identified 17 QTLs associated with bristle length, explaining 1.76-47.37% of the phenotypic variation. Among these, 6 were multi-environment QTLs, and 11 were environment-specific QTLs. Notably, qBL-1-1 and qBL-3-2 were detected in both populations, and exhibited epistasis interactions. By analyzing genotypic data from the RYRIL population and its parents, we identified two lines with significant variation in bristle length at the qBL-1-1 locus, designated CM3 (short) and CM4 (long). RNA-seq during the flowering phase identified 1812 differentially expressed genes (DEGs). Thirty-three DEGs were identified within 6 multi-environment QTL regions, and the RNA-seq results were validated by quantitative reverse transcription polymerase chain reaction (qRT-PCR). Within the qBL-1-1 region, Seita.1G325800 is predicted to be a key candidate gene controlling foxtail millet bristle length. These findings provide preliminary insights into the genetic basis of bristle development and lay a foundation for the genetic improvement of foxtail millet bristle length.

Indexed as

Quantitative Trait LociSetaria PlantChromosome MappingEpistasis, GeneticGenetic LinkageGenotypePhenotypeRNA-Seq

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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.